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Search Results (809)

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Keywords = agricultural CO2 emissions

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13 pages, 1421 KiB  
Article
Cumulative Energy Demand and Greenhouse Gas Emissions from Potato and Tomato Production in Southeast Brazil
by Breno de Jesus Pereira, Newton La Scala and Arthur Bernardes Cecílio Filho
Agronomy 2025, 15(1), 235; https://doi.org/10.3390/agronomy15010235 (registering DOI) - 18 Jan 2025
Abstract
Knowing the energy balance in agricultural systems is essential for a holistic understanding of sustainability, productivity and economic return. The aim of this study was to estimate the cumulative energy demand (CED), greenhouse gas (GHG) emissions and carbon footprint in industrial potato and [...] Read more.
Knowing the energy balance in agricultural systems is essential for a holistic understanding of sustainability, productivity and economic return. The aim of this study was to estimate the cumulative energy demand (CED), greenhouse gas (GHG) emissions and carbon footprint in industrial potato and tomato production systems in the Southeast region of Brazil, identifying mitigation strategies in different scenarios. The Life Cycle Analysis methodology was used, and two functional units were defined: one hectare of cultivation and one kilogram of vegetable produced. The CEDs for tomato and potato production were 59,553.56 MJ ha–1 (or 0.54 MJ kg–1) and 57,992.02 MJ ha–1 (or 1.45 MJ kg–1), respectively. The GHG emissions were 5425.13 kg CO2 eq ha–1 for potato production and 5270.9 kg CO2 eq ha–1 for tomato production, resulting in carbon footprints of 0.135 and 0.042 kg CO2 eq kg–1, respectively. Fertilizers, diesel and pesticides were the main contributors to CED and GHG emissions. Thus, in order to achieve greater sustainability in the production of these vegetables and mitigate the impacts on the environment generated by the high demand for energy and GHG emissions, it is necessary to replace synthetic fertilizers with organic sources, chemical pesticides with biological pesticides, diesel with biodiesel or the use of electric vehicles and tractors, resulting in reductions of up to 39 and 52% in the GHG emissions for potatoes and tomatoes, respectively. Full article
(This article belongs to the Section Agricultural Biosystem and Biological Engineering)
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<p>Flowchart for assessing the cumulative energy demand (CED), greenhouse gas (GHG) emissions and carbon footprint of intensive potato and tomato production during one agricultural year.</p>
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<p>Percentage contribution of each input, material and fuel to the cumulative energy demand (CED) for potato and tomato production in an intensive cultivation system.</p>
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<p>Percentage contribution of each input, material and fuel to total greenhouse gas (GHG) emissions for potato and tomato production in an intensive cultivation system.</p>
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<p>Real condition (CR) of greenhouse gas (GHG) emissions and scenarios (C1—replacement of synthetic N fertilizer with organic sources and chemical pesticides with biological ones; C2—replacement of synthetic N fertilizer with organic sources, chemical pesticides with biological ones and diesel/machinery with electric tractors; and C3—replacement of synthetic N fertilizer with organic sources, chemical pesticides with biological ones and diesel with biodiesel) of alternatives proposed for mitigating emissions associated with the main emission sources used in the production of potatoes and tomatoes, in an intensive cultivation system.</p>
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29 pages, 4950 KiB  
Article
Sustainable Design in Agriculture—Energy Optimization of Solar Greenhouses with Renewable Energy Technologies
by Danijela Nikolić, Saša Jovanović, Nebojša Jurišević, Novak Nikolić, Jasna Radulović, Minja Velemir Radović and Isidora Grujić
Energies 2025, 18(2), 416; https://doi.org/10.3390/en18020416 (registering DOI) - 18 Jan 2025
Viewed by 16
Abstract
In modern agriculture today, the cultivation of agricultural products cannot be imagined without greenhouses. This paper presents an energy optimization of a solar greenhouse with a photovoltaic system (PV) and a ground-source heat pump (GSHP). The PV system generates electricity, while the GSHP [...] Read more.
In modern agriculture today, the cultivation of agricultural products cannot be imagined without greenhouses. This paper presents an energy optimization of a solar greenhouse with a photovoltaic system (PV) and a ground-source heat pump (GSHP). The PV system generates electricity, while the GSHP is used for heating and cooling. A greenhouse is designed with an Open Studio plug-in in the Google SketchUp environment, the EnergyPlus software (8.7.1 version) was used for energy simulation, and the GenOpt software (2.0.0 version) was used for optimization of the azimuth angle and PV cell efficiency. Results for different solar greenhouse orientations and different photovoltaic module efficiency are presented in the paper. The obtained optimal azimuth angle of the solar greenhouse was −8°. With the installation of a PV array with higher module efficiency (20–24%), it is possible to achieve annual energy savings of 6.87–101.77%. Also, with the PV module efficiency of 23.94%, a concept of zero-net-energy solar greenhouses (ZNEG) is achieved at optimal azimuth and slope angle. Through the environmental analysis of different greenhouses, CO2 emissions of PV and GSHP are calculated and compared with electricity usage. Saved CO2 emission for a zero-net-energy greenhouse is 6626 kg CO2/year. An economic analysis of installed renewable energy systems was carried out: with the total investment of 19,326 € for ZNEG, the payback period is 8.63 years. Full article
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<p>Model of analyzed solar greenhouse with installed renewable energy systems (winter period).</p>
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<p>Modeled solar greenhouse: (<b>a</b>) side wall; (<b>b</b>) south wall.</p>
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<p>Model of an installed photovoltaic array of a solar greenhouse.</p>
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<p>Monthly heating/cooling load of a solar greenhouse.</p>
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<p>Monthly energy consumption in a referent solar greenhouse.</p>
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<p>The azimuth angle of a solar greenhouse.</p>
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<p>Cooling load of solar greenhouses with different azimuth angles (on 15 July).</p>
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<p>Heating load of solar greenhouses with different azimuth angles (on 15 December).</p>
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<p>Heating and cooling energy consumption in a solar greenhouse with different azimuth angles.</p>
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<p>Generated energy and energy consumption in solar greenhouses with different azimuth angles.</p>
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<p>Energy consumption and generated energy of solar greenhouses with different PV module efficiency.</p>
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<p>Energy consumption, generated energy, and energy surplus in the zero-net-energy greenhouse.</p>
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<p>Emission and total emission of CO<sub>2</sub> (yearly) in different greenhouses.</p>
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<p>Investments, Financial savings and Payback periods of different greenhouses.</p>
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<p>Payback periods for different GSHP and different feed-in tariffs.</p>
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15 pages, 1420 KiB  
Article
Turning Agricultural Biomass Ash into a Valuable Resource in the Construction Industry—Exploring the Potential of Industrial Symbiosis
by Olivera Bedov, Ana Andabaka and Suzana Draganić
Buildings 2025, 15(2), 273; https://doi.org/10.3390/buildings15020273 (registering DOI) - 18 Jan 2025
Viewed by 153
Abstract
This paper presents a circular business model (CBM) designed to promote the valorization of agricultural biomass ash for producing an alternative binder in construction, aiming to reduce CO₂ emissions and landfill waste. The circular economy framework emphasizes regeneration and restoration to minimize resource [...] Read more.
This paper presents a circular business model (CBM) designed to promote the valorization of agricultural biomass ash for producing an alternative binder in construction, aiming to reduce CO₂ emissions and landfill waste. The circular economy framework emphasizes regeneration and restoration to minimize resource and energy use, waste generation, pollution, and other environmental impacts. Aligned with these principles of sustainability, the construction industry, energy sector and food processing industry can establish a shared interest through industrial symbiosis. In the proposed CBM, waste from one industry becomes an input for another. The model leverages industrial symbiosis by using sunflower husk ash (SHA) as an alternative hydroxide activator for alkali-activated materials. A case study of companies in the Republic of Serbia that produce SHA as waste forms the basis for this model, featuring promising results of experimental testing of three alkali-activated mortars produced by activating ground-granulated blast furnace slag (GGBFS) with different SHA contents (15, 25 and 35 wt% GGBFS), instead of commercially available hydroxide activators. The potential of SHA as an alternative activator was assessed by testing flow diameter and compressive strength at 7 and 28 days of curing. The highest 28-day compressive strength was attained for the addition of 25% SHA (28.44 MPa). The promising results provided a valid basis for CBM development. The proposed CBM is stream-based, resulting from merging and upgrading two existing industrial symbioses. This study highlights the benefits of the CBM while addressing the challenges and barriers to its implementation, offering insights into the possible integration of agricultural biomass ash into sustainable construction practices. Full article
(This article belongs to the Special Issue Advances in the Implementation of Circular Economy in Buildings)
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<p>Flow-table test results of SHA activated mortars.</p>
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<p>An example of AA mortar mix after flow table test—SHA25. (<b>a</b>) Top view; (<b>b</b>) side view.</p>
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<p>Compressive strength of SHA activated mortars, after 7 and 28 days of ambient curing.</p>
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<p>Schematic representation of developed CBM.</p>
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14 pages, 4348 KiB  
Article
Basic Characteristics of Ionic Liquid-Gated Graphene FET Sensors for Nitrogen Cycle Monitoring in Agricultural Soil
by Naoki Shiraishi, Jian Lu, Fatin Bazilah Fauzi, Ryo Imaizumi, Toyohiro Tsukahara, Satoshi Mogari, Shosuke Iida, Yusuke Matsukura, Satoshi Teramoto, Keisuke Yokoi, Izumi Ichinose and Mutsumi Kimura
Biosensors 2025, 15(1), 55; https://doi.org/10.3390/bios15010055 - 16 Jan 2025
Viewed by 283
Abstract
Nitrogen-based fertilizers are crucial in agriculture for maintaining soil health and increasing crop yields. Soil microorganisms transform nitrogen from fertilizers into NO3–N, which is absorbed by crops. However, some nitrogen is converted to nitrous oxide (N2O), a [...] Read more.
Nitrogen-based fertilizers are crucial in agriculture for maintaining soil health and increasing crop yields. Soil microorganisms transform nitrogen from fertilizers into NO3–N, which is absorbed by crops. However, some nitrogen is converted to nitrous oxide (N2O), a greenhouse gas with a warming potential about 300-times greater than carbon dioxide (CO2). Agricultural activities are the main source of N2O emissions. Monitoring N2O can enhance soil health and optimize nitrogen fertilizer use, thereby supporting precision agriculture. To achieve this, we developed ionic liquid-gated graphene field-effect transistor (FET) sensors to measure N2O concentrations in agricultural soil. We first fabricated and tested the electrical characteristics of the sensors. Then, we analyzed their transfer characteristics in our developed N2O evaluation system using different concentrations of N2O and air. The sensors demonstrated a negative shift in transfer characteristic curves when exposed to N2O, with a Dirac point voltage difference of 0.02 V between 1 and 10 ppm N2O diluted with pure air. These results demonstrate that the ionic liquid-gated graphene FET sensor is a promising device for N2O detection for agricultural soil applications. Full article
(This article belongs to the Special Issue Application of Biosensors in Environmental Monitoring)
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<p>Schematic of N<sub>2</sub>O monitoring in agricultural soil using an ionic liquid-gated graphene FET sensor: (<b>a</b>) spatial variation and chemical variation in nitrogen in agricultural soil; (<b>b</b>) schematic illustration and (<b>c</b>–<b>e</b>) working principle of an ionic liquid-gated graphene FET sensor in chamber.</p>
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<p>Fabrication process of an ionic liquid-gated graphene FET sensor: (<b>a</b>) graphene etching using O<sub>2</sub> plasma; (<b>b</b>) Cr/Au/Cr deposition using vapor deposition and patterning using a lift-off process; (<b>c</b>) 100 nm Au coating on electrodes using a lift-off process; (<b>d</b>) ionic liquid dropped; (<b>e</b>) photograph of graphene pattern formed using O<sub>2</sub> plasma; (<b>f</b>) photograph of a processed wafer; (<b>g</b>) SEM image of a fabricated sensor chip containing 6 graphene FETs with the same graphene channel; (<b>h</b>) enlarged SEM image of channel 1; (<b>i</b>) photograph of an ionic liquid-gated graphene FET sensor; (<b>j</b>) enlarged photograph of channel 1.</p>
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<p>Fabrication process of an ionic liquid-gated graphene FET sensor with a hydrophobic layer: (<b>a</b>) graphene etching using O<sub>2</sub> plasma; (<b>b</b>) Au/Cr deposition using vapor deposition and patterning using a lift-off process; (<b>c</b>) CYTOP formation; (<b>d</b>) etching of Au/Cr on graphene channel; (<b>e</b>) ionic liquid dropped; (<b>f</b>) photograph of a processed wafer with a hydrophobic layer; (<b>g</b>) SEM image of a fabricated sensor chip containing 6 FETs with different graphene channel sizes; (<b>h</b>) enlarged SEM image of channel 5; (<b>i</b>) photograph of an ionic liquid-gated graphene FET sensor; (<b>j</b>) enlarged photograph of channel 5.</p>
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<p>Current–voltage characteristics of the source–drain electrodes of the ionic-gated graphene FET sensor without a hydrophobic layer. The Y-axis of I<sub>DS</sub> represents the source–drain current. The X-axis of V<sub>DS</sub> represents the source–drain voltage.</p>
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<p>(<b>a</b>) Schematic view of our N<sub>2</sub>O evaluation system; (<b>b</b>) photograph of the thermos-hydrostat chamber; (<b>c</b>) evaluation module of the wire-bonded sensor on a ceramic package.</p>
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<p>Transfer characteristic curve of the 200 nL [PMIM][BF<sub>4</sub>]-ionic liquid-gated graphene FET sensor with a hydrophobic layer exposed to air, followed by 10 ppm N<sub>2</sub>O diluted with N<sub>2</sub> and then by air at a constant 1000 sccm for 10 min. The Y-axis of I<sub>DS</sub> represents the source–drain current. The X-axis of V<sub>DS</sub> represents the source–drain voltage.</p>
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<p>Transfer characteristic curve of the 100 nL [PMIM][BF<sub>4</sub>]-ionic liquid-gated graphene FET sensor without a hydrophobic layer exposed to air, 1 ppm N<sub>2</sub>O diluted with pure air, air, and lastly 10 ppm N<sub>2</sub>O diluted with pure air at 1000 sccm for 30 min. The Y-axis of I<sub>DS</sub> represents the source–drain current. The X-axis of V<sub>DS</sub> represents the source–drain voltage.</p>
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<p>(<b>a</b>) Transfer characteristic curve of the 100 nL [PMIM][BF<sub>4</sub>]-ionic liquid-gated graphene FET sensor without a hydrophobic layer exposed to 0.02 ppm N<sub>2</sub>O diluted with pure air and 1 ppm and 10 ppm N<sub>2</sub>O diluted with pure air at 1000 sccm for 5 min. The Y-axis of I<sub>DS</sub> represents the source–drain current. The X-axis of V<sub>DS</sub> represents the source–drain voltage; (<b>b</b>) N<sub>2</sub>O concentration dependence of source–drain current at a gate voltage of 0.3 V. The I<sub>DS</sub> at a gate voltage of 0.3 V of 0.02 ppm N<sub>2</sub>O diluted with pure air and 1 ppm and 10 ppm N<sub>2</sub>O diluted with pure air in <a href="#biosensors-15-00055-f008" class="html-fig">Figure 8</a>a were plotted.</p>
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<p>Transfer characteristic curve of the 100 nL [PMIM][BF<sub>4</sub>]-ionic liquid-gated graphene FET sensor without a hydrophobic layer exposed to 1 ppm and 10 ppm N<sub>2</sub>O diluted with pure air and 50,000 ppm CO<sub>2</sub> diluted with pure air at 1000 sccm for 5 min. The Y-axis of I<sub>DS</sub> represents the source–drain current. The X-axis of V<sub>DS</sub> represents the source–drain voltage.</p>
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<p>(<b>a</b>) Photograph of parylene C-coated ionic-gated graphene FET sensor; (<b>b</b>) enlarged micrograph of ch1 of parylene C-coated ionic-gated graphene FET sensor; (<b>c</b>) enlarged micrograph of ch1 before the application of the parylene C coating.</p>
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<p>Dirac point voltage shift of 100 nL [PMIM][BF4]-ionic liquid-gated graphene FET sensor exposed to pure water vapor: (<b>a</b>) with parylene C coating; (<b>b</b>) without parylene C.</p>
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27 pages, 6768 KiB  
Article
Complex Study of Settlements Dating from the Paleolithic to Medieval Period in the Ural Mountains on the Border of Europe and Asia
by Valentina Prikhodko, Nikita Savelev, Vyacheslav Kotov, Sergey Nikolaev, Evgeny Ruslanov, Mikhail Rumyantsev and Elena Manakhova
Geosciences 2025, 15(1), 31; https://doi.org/10.3390/geosciences15010031 - 16 Jan 2025
Viewed by 222
Abstract
Soil, geochemical, microbiological, and archeological studies were conducted at eight settlements dating from the Paleolithic to Late Medieval and Modern Ages near the southern Trans-Urals Mountains, Russia. The forest-steppe landscapes, rivers, and abundant mineral resources have attracted people to the region since ancient [...] Read more.
Soil, geochemical, microbiological, and archeological studies were conducted at eight settlements dating from the Paleolithic to Late Medieval and Modern Ages near the southern Trans-Urals Mountains, Russia. The forest-steppe landscapes, rivers, and abundant mineral resources have attracted people to the region since ancient times. Cultural layers (CLs) are marked by finds of ceramics fragments, animal bones, stone, and metal tools. The properties of CLs include close-to-neutral pH, being well structured, the absence of salinity, enrichment with exchangeable calcium, and anthropogenic phosphorus (0.2–0.4%). The majority of CLs start at a depth of 3–25 cm, extend to 40–60 cm, and contain 6–10% organic carbon (Corg) in the 0–20 cm layer, reflecting carbon input from modern-day processes. At the Ishkulovo site (0.6–0.8 ka BP), Corg decreases to 1.3% because the CL is below 80 cm, and in the absence of fresh organic material input, carbon has been mineralized. The proximity of sites to deposits of copper, chromium, zinc, and manganese in the Ural Mountains creates natural high-content anomalies in the region, as indicated by their abundance in soils and parent rocks. In the past, these elements were also released into CLs from metal products, ceramic fragments, and raw materials used in their manufacture. The sites are quite far (18–60 km) from the Magnitogorsk Metallurgical plant, but industrial stockpiles of S (technogenic coefficient—Ct 30–87%), and, less often, Cr, Mn, and Sr (Ct 30–40%) accumulated in surface layers. These three factors have led to the concentration of pollutants of the first (arsenic, chromium, lead, and zinc) and second (cobalt, copper, and nickel) hazard classes at CLs, often in quantities 2–5 times higher than values for parent materials and geosphere average content (“Clarke” value), and, and less often, more than the allowable content for human health. This may have influenced their health and behavioral functions. Due to the above properties, chernozems have a high buffering capacity and a strong bond with heavy metals. Therefore, no inhibition of microbes was observed. The microbial biomass of the 0–10 cm layer is high, 520–680 µg C/g, and microbes cause the emission of 1.0 C-CO2 µg/g of soil per hour. During the ancient settlements’ development, a favorable paleoclimate was noted based on the data cited. This contributed to the spread of productive paleolandscapes, ensuring the development of domestic cattle breeding and agriculture. Full article
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<p>Study area location: (<b>A</b>)—Baskortostan Republic in Russia, (<b>B</b>)—Abzelilovskiy district within Bashkortostan, (<b>C</b>)—locations of the sites studied in the region around Magnitogorsk (<a href="https://opentopomap.org/#map=12/53.6136/58.6776" target="_blank">https://opentopomap.org/#map=12/53.6136/58.6776</a>, accessed on 3 January 2024).</p>
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<p>(<b>A</b>) Locations of Kusimovo-8, 6, and 7 sites. Quadcopter view. Photo by A.A. Khurmaev, 2021, (<b>B</b>) landscape near the Kusimovo and Sabakty-1a; sites. (<b>C</b>) three Paleolithic stone tools in different angles from the Kusimovo-8 site.—one stone tool in different angles.</p>
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<p>Soil and CLs at the sites of (<b>A</b>) Kusimovo-8, (<b>B</b>) Ishkulovo, (<b>C</b>) Elimbetovo-7, (<b>D</b>) Sabakty-1a.</p>
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<p>The granulometry of the sites.</p>
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<p>The granulometry of the sites.</p>
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<p>pH, iron, microbial biomass, and basal respiration of the sites. * In all figures, dashed line means the Clarke value, region—regional elements content accordion (8).</p>
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<p>Content of Corg, total nitrogen, and phosphorus; C/N ratio of the sites.</p>
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<p>(<b>a</b>) Content of some microelements of the sites. (<b>b</b>) Content of some microelements of the sites. (<b>c</b>) Content of potassium and manganese at the sites. Dashed line means the Clarke value, region—regional elements content accordion (8).</p>
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<p>(<b>a</b>) Content of some microelements of the sites. (<b>b</b>) Content of some microelements of the sites. (<b>c</b>) Content of potassium and manganese at the sites. Dashed line means the Clarke value, region—regional elements content accordion (8).</p>
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<p>(<b>a</b>) Content of some microelements of the sites. (<b>b</b>) Content of some microelements of the sites. (<b>c</b>) Content of potassium and manganese at the sites. Dashed line means the Clarke value, region—regional elements content accordion (8).</p>
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27 pages, 1457 KiB  
Review
Manure Management as a Potential Mitigation Tool to Eliminate Greenhouse Gas Emissions in Livestock Systems
by George K. Symeon, Konstantina Akamati, Vassilios Dotas, Despoina Karatosidi, Iosif Bizelis and George P. Laliotis
Sustainability 2025, 17(2), 586; https://doi.org/10.3390/su17020586 - 14 Jan 2025
Viewed by 868
Abstract
Climate change is a contemporary global challenge that requires comprehensive solutions to mitigate its adverse effects. All human activities contribute to climate change, mainly through atmospheric emissions of greenhouse gases (GHGs), such as nitrous oxide (N2O), carbon dioxide (CO2), [...] Read more.
Climate change is a contemporary global challenge that requires comprehensive solutions to mitigate its adverse effects. All human activities contribute to climate change, mainly through atmospheric emissions of greenhouse gases (GHGs), such as nitrous oxide (N2O), carbon dioxide (CO2), and methane (CH4). While most of these emissions are primarily due to fossil fuel use, agriculture and livestock production also contribute to a significant share of approximately 12% of global emissions. Most processes that are implemented within an animal husbandry unit are associated with greenhouse gas emissions, including manure management. This review explores the interconnection between climate change and manure management practices, highlighting the potential for sustainable approaches to mitigating GHG emissions. The key strategies for manure management, such as anaerobic digestion, nutrient management, composting, manure separation and treatment, and improved storage and handling, are discussed, as they are implemented in different livestock production systems (ruminants, poultry, and pigs). Despite the technological progress, there is still a place for further improving manure management approaches, especially in non-ruminant species leading to a higher mitigation potential and a reduction in greenhouse gases emissions. Moreover, policy support and incentives for sustainable practices are crucial for widespread adoption. Full article
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<p>Simplified illustration of the anaerobic digestion of organic matter. The principal components of organic matter, which are amenable to conversion (e.g., carbohydrates, proteins, and lipids), are broken down through acidification and methanogenesis processes to produce methane and carbon dioxide.</p>
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<p>Anaerobic digestion as a mitigation potential for manure derived from farm animals. The negative impacts of manure related to GHG emissions, pathogens and odor, can be eliminated by the implementation of anaerobic digestion. Biogas and digestate, as products of the reaction, can be further used for energy, heat, fuel, or soil fertilization.</p>
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<p>Brief presentation of manure management as a potential solution for mitigating GHG emissions and the environmental impacts of livestock related to manure. Animal manure contributes to up to 10% of total global livestock GHG emissions. Various methods can be implemented depending on species, cost, available infrastructure, and policy incentives promoting sustainable solutions within the frame of circular economy strategies. The mitigation potential regarding the elimination of GHG emissions from manure varies (10–45%) according to the implemented management method (for further information refer to <a href="#sec3-sustainability-17-00586" class="html-sec">Section 3</a>).</p>
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16 pages, 2816 KiB  
Article
Balancing Yield and Sustainability: A Comparative Analysis of Supplemental Lighting in Commercial-Scale Cucumber Cultivation
by Seyed Mohammad Hashemi, Andrzej Kurenda, Selin Karatepe and Nick A. Savidov
Horticulturae 2025, 11(1), 79; https://doi.org/10.3390/horticulturae11010079 - 13 Jan 2025
Viewed by 440
Abstract
Lighting is a fundamental driver of plant productivity in controlled-environment agriculture (CEA), directly affecting physiological processes, resource efficiency, and sustainability. This study evaluates the effects of distinct lighting systems, industrial Light-Emitting Diodes (iLEDs), horticultural LEDs (hLEDs), high-pressure sodium (HPS) lamps, and controls (no [...] Read more.
Lighting is a fundamental driver of plant productivity in controlled-environment agriculture (CEA), directly affecting physiological processes, resource efficiency, and sustainability. This study evaluates the effects of distinct lighting systems, industrial Light-Emitting Diodes (iLEDs), horticultural LEDs (hLEDs), high-pressure sodium (HPS) lamps, and controls (no supplemental light), each providing unique light spectra, on cucumber (Cucumis sativus L.) growth, physiology, and environmental impact under a controlled light intensity of 250 µmol m−2 s−1 in a commercial CEA setup. The results indicated that iLEDs enhance intrinsic water use efficiency (35.65 µmol CO2/mol H2O) and reduce transpiration, reflecting superior physiological resource use. Electrophysiological measurements indicated significantly more stable stress responses in plants subjected to iLEDs and hLEDs as compared to HPS and control treatments, indicating the effectiveness of LED light spectra in mitigating stress-related physiological impacts. Furthermore, compact growth and shorter stem internodes were observed under iLEDs as well as hLEDs, highlighting the spectral effects on photomorphogenesis, likely caused by a balanced light spectrum. HPS lighting achieved the highest yield (42.86 kg m−2) but at a significant environmental cost, with 342.65 kg CO2e m−2 emissions compared to 204.29 kg CO2e m−2 for iLEDs, with competitive yield of 38.84 kg m−2. Economic analysis revealed that iLEDs also offered the most cost-effective solution due to lower energy consumption and extended lifespan. This study focused on the interaction between light spectra, photosynthetic performance, stress resilience, and resource efficiency, advancing sustainable strategies for energy-efficient food production in CEA systems. Full article
(This article belongs to the Section Protected Culture)
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<p>Spectral distribution of supplemental lighting treatments and controls used in the study. Panels (<b>a</b>–<b>d</b>) display the control, horticultural LED (hLED), industrial LED (iLED), and HPS treatments, respectively. On the panels, the <span class="html-italic">x</span>-axis represents the wavelength range in nanometers (nm). Panel (<b>e</b>) provides a table detailing the percentage distribution of different spectrum ranges (400–750 nm) for each light source with a photosynthetic photon flux density (PPFD) of 250 µmol m<sup>−2</sup> s<sup>−1</sup>, measured directly at the canopy level without natural light. For the control treatment (natural light), the spectral distribution was also measured at a PPFD of 250 µmol m<sup>−2</sup> s<sup>−1</sup>. The color bar in the table corresponds to the spectral ranges depicted in the graphs.</p>
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<p>Flowering induction and leaf area index (LAI) response to supplemental lighting. (<b>a</b>) The distribution and density of flowering days post-transplantation in each treatment group. The <span class="html-italic">y</span>-axis indicates the number of days after transplantation at which flowering occurred. (<b>b</b>) The temporal dynamics of Leaf Area Index (LAI) for the same treatment groups throughout the growing season. Dates formatted as month-day represent the specific days when LAI measurements were taken. The color legend, Control (red), Horticultural LED (yellow), HPS (blue), and Industrial LED (green), identifies the treatment groups for both graphs.</p>
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<p>Yield and fruit quality under different supplemental lighting. (<b>a</b>) Yield (kg m<sup>−2</sup>) over four different treatment groups. (<b>b</b>) Fruit weight (kg) over the four treatment groups. (<b>c</b>) Fruit size (XS, S, M, and L) distribution percentages across different treatment groups. The mean yield and fruit weight are indicated by a red dot, and the mean values are displayed above it. Significance levels from Tukey’s HSD test are marked with asterisks (* <span class="html-italic">p</span> &lt; 0.05, *** <span class="html-italic">p</span> &lt; 0.001, ns: not significant).</p>
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<p>Photosynthetic parameters across different light treatments. (<b>a</b>) Net assimilation rate (A, µmol CO<sub>2</sub> m<sup>−2</sup> s<sup>−1</sup>), (<b>b</b>) stomatal conductance over water vapor (g<sub>sw</sub>, mol m<sup>−2</sup>s<sup>−1</sup>), (<b>c</b>) transpiration rate (E, mmol H<sub>2</sub>O m<sup>−2</sup>s<sup>−1</sup>), (<b>d</b>) intrinsic water use efficiency (iWUE, µmol CO<sub>2</sub> (mol H<sub>2</sub>O)<sup>−1</sup>), (<b>e</b>) intrinsic carboxylation efficiency (iCE, µmol CO<sub>2</sub> mol<sup>−1</sup>), and (<b>f</b>) electron transport rate (ETR, µmol electrons m<sup>−2</sup> s<sup>−1</sup>). Photosynthetic parameters were recorded under a constant light of 500 µmol m<sup>−2</sup> s<sup>−1</sup> for all treatments. The boxplots display the median, interquartile range, and mean point (yellow) for each treatment. Different letters above the boxes indicate statistical mean comparison differences based on the Tukey HSD test (<span class="html-italic">p</span> &lt; 0.05) among the treatments.</p>
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<p>(<b>A</b>) Time courses of daily amplitudes (mV) of cucumber electrical signals under different illumination types (Control, iLED, HPS, hLED) and (<b>B</b>) quantitative comparison of daily amplitudes (mV) under different illuminations in bi-weekly periods. Line plots represent mean daily amplitude and shaded envelopes represent standard deviations (<span class="html-italic">n</span> = 8). Box plots display the median and interquartile range. Whiskers indicate range of the data. Dots show mean daily amplitudes per day per group of 8 plants. Bars and labels above boxplots indicate statistical differences between groups based on the Mann–Whitney test, with following significance ranges: *** <span class="html-italic">p</span> &lt; 0.001, ** <span class="html-italic">p</span> &lt; 0.01, * <span class="html-italic">p</span> &lt; 0.05, n.s. (not significant) <span class="html-italic">p</span> ≥ 0.05.</p>
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<p>Plant Balance Index (PBI) analysis across different lighting treatments over the trial period. (<b>A</b>) Bar charts depicting the percentage of time spent in the PBI range below 0.4, (<b>B</b>) in the PBI range of 0.4–0.8, and (<b>C</b>) above 0.8. Asterisks (*) indicate statistically significant differences between groups based on pairwise ANOVA tests. (<b>D</b>) Heatmap showing the temporal variation of PBI values for each treatment (Control, iLED, HPS, hLED) across the trial duration. Colors represent PBI values, with red indicating higher stress levels and green indicating more balanced states.</p>
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13 pages, 9527 KiB  
Article
Effects of Nitrogen Fertilization on Soil CH4, CO2, and N2O Emissions and Their Global Warming Potential in Agricultural Peatlands
by Yao Shi, Xiaowei Wei, Lianxi Sheng and Xuechen Yang
Agronomy 2025, 15(1), 115; https://doi.org/10.3390/agronomy15010115 - 4 Jan 2025
Viewed by 494
Abstract
Globally, 14–20% of peatlands are affected by agricultural activities, which account for about one-third of global greenhouse gas emissions from farmlands. However, how agricultural activities such as nitrogen fertilization affect peatlands’ CH4, CO2 and N2O emission patterns and [...] Read more.
Globally, 14–20% of peatlands are affected by agricultural activities, which account for about one-third of global greenhouse gas emissions from farmlands. However, how agricultural activities such as nitrogen fertilization affect peatlands’ CH4, CO2 and N2O emission patterns and their resulting warming effects needs to be improved and complemented. Here, we elucidate the characterization of CH4, CO2 and N2O emissions from the soil surface and different depths of the soil profile during the growing season of agricultural peatlands for over 50 years and the mechanisms of their resulting global warming potential (GWP) impact through field monitoring and molecular techniques. The 100-year GWP of peatlands increased by 1200% with N fertilization of 260 kg N ha−1 yr−1. At the soil surface, N fertilization increased CO2 and N2O emissions by 111% and 2600%, respectively, although CH4 emissions decreased by 87%. In the soil profile, N fertilization had a significant effect on CO2 from 0 to 60 cm, resulting in an increase in CO2 concentrations of 14–132%, whereas the top 30 cm of soil was the zone of significant N fertilization effects, with CH4 concentrations decreasing by 49–95% and N2O concentrations increasing by 22–26%. Elevated soil pH and NH4+ were the key environmental factors influencing CH4, CO2 and N2O emissions and their resulting increase in GWP. These results suggest that agricultural N fertilization led to a change in the contributor to the GWP of peatlands from CH4 to N2O, especially in the top 30 cm of soil. This study helps to provide theoretical support for the development of effective peatland management strategies. Full article
(This article belongs to the Special Issue Microbial Carbon and Its Role in Soil Carbon Sequestration)
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<p>Sampling sites for this study. (<b>a</b>) Location of the peatland (control) and paddy–peatland (nitrogen fertilized) in Jinchuan peatland. (<b>b</b>) View of the peatland (control) and (<b>c</b>) the paddy–peatland (nitrogen fertilized).</p>
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<p>CH<sub>4</sub>, CO<sub>2</sub> and N<sub>2</sub>O efflux and depth concentration measurement. (<b>a</b>) Static chamber for the determination of gas effluxes from the soil surface. (<b>b</b>) Position of the base of the static chamber with the soil profile gas measurement device. (<b>c</b>) Gas collection outlet for soil profile gas measurement device. (<b>d</b>) Schematic diagram of the device for measuring gas concentrations at different depths in the soil profile.</p>
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<p>The CH<sub>4</sub> surface efflux and soil profile concentrations. Error bars indicate s.e.m. (<span class="html-italic">n</span> = 3). The asterisks indicate significant differences between the N fertilization site and the control site (* <span class="html-italic">p</span> &lt; 0.05, ** <span class="html-italic">p</span> &lt; 0.01).</p>
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<p>The CO<sub>2</sub> surface efflux and soil profile concentrations. Error bars indicate s.e.m. (<span class="html-italic">n</span> = 3). The asterisks indicate significant differences between the N fertilization site and the control site (* <span class="html-italic">p</span> &lt; 0.05, ** <span class="html-italic">p</span> &lt; 0.01).</p>
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<p>The N<sub>2</sub>O surface efflux and soil profile concentrations. Error bars indicate s.e.m. (n = 3). The asterisks indicate significant differences between the N fertilization site and the control site (** <span class="html-italic">p</span> &lt; 0.01).</p>
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<p>The effect of N inputs on the global warming potential (GWP). (<b>a</b>) Dynamics of the GWP during the growing season. (<b>b</b>) The relative contributions of CH<sub>4</sub>, CO<sub>2</sub> and N<sub>2</sub>O to the GWP. The asterisks indicate significant differences between the N fertilization site and the control site (** <span class="html-italic">p</span> &lt; 0.01). Different uppercase letters indicate significant differences between months for the control site and different lowercase letters indicate significant differences between months for the N fertilization site.</p>
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<p>Profile distribution characteristics of CH<sub>4</sub> and N<sub>2</sub>O-related genes. Error bars indicate s.e.m. (n = 3). The asterisks indicate significant differences between the N fertilization site and the control site (* <span class="html-italic">p</span> &lt; 0.05, ** <span class="html-italic">p</span> &lt; 0.01, *** <span class="html-italic">p</span> &lt; 0.001).</p>
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<p>Factors influencing CH<sub>4</sub>, CO<sub>2</sub> and N<sub>2</sub>O emissions and the global warming potential (GWP). Numbers on arrows indicate path coefficients. Paths with significance less than 0.05 are indicated by blue and red arrows. Paths with significance greater than 0.05 are indicated by gray arrows (** <span class="html-italic">p</span> &lt; 0.01, *** <span class="html-italic">p</span> &lt; 0.001).</p>
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28 pages, 1132 KiB  
Review
Theory and Practice of Burning Solid Biofuels in Low-Power Heating Devices
by Małgorzata Dula and Artur Kraszkiewicz
Energies 2025, 18(1), 182; https://doi.org/10.3390/en18010182 - 3 Jan 2025
Viewed by 522
Abstract
Combustion is the most advanced and proven method on the market for using agricultural by-product residues and waste from the agri-food industry. Currently, a wide range of combustion technologies is used to produce heat and electricity in low-power heating devices (>50 kW) using [...] Read more.
Combustion is the most advanced and proven method on the market for using agricultural by-product residues and waste from the agri-food industry. Currently, a wide range of combustion technologies is used to produce heat and electricity in low-power heating devices (>50 kW) using various types of biofuels from biomass (woody biomass, herbaceous biomass, waste and residues from the agri-food industry). Combustion of biomass fuels, especially those of wood origin, causes lower carbon dioxide (CO2) and sulfur oxides (SOx) emissions into the atmosphere compared to coal combustion. The growing interest in solid biofuels has contributed to intensive activities on improving the combustion process and energy devices enabling effective and economic conversion of chemical energy contained in biomass into other usable forms such as heat, electricity. Having good quality fuel, it is necessary to ensure an appropriate, clean combustion technique, which allows to achieve the highest thermal efficiency of the heating device and at the same time the lowest emission of pollutants. The article presents issues related to the theory, characteristics of the combustion process and problems related to the formation of harmful chemical compounds nitrogen oxides (NOx), SOx, carbon monoxide (CO), particulate matter (PM) emitted to the atmosphere during the combustion process in low-power heating devices. The analysis indicates the possibility of minimizing undesirable phenomena during the combustion of these biofuels related to ash sintering, the formation of deposits, corrosion and improving the amount of condensable solid particles formed and therefore reducing the emission of gaseous products to the environment. Full article
(This article belongs to the Special Issue Advanced Combustion Technologies and Emission Control)
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<p>Formation mechanism of nitrogen oxides. Own study, based on [<a href="#B71-energies-18-00182" class="html-bibr">71</a>].</p>
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<p>Synergy effects between co-burned fuels [<a href="#B117-energies-18-00182" class="html-bibr">117</a>].</p>
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15 pages, 4311 KiB  
Article
Strategic Reduction Method for Energy Input and CO2 Emissions: Direct Supply of Underground Seawater for Land-Based Aquaculture Systems in South Korea
by Seungyeop Baek, Byungchil Jeon, Sebong Oh, Wontak Choi, Seunggi Choi and Yonmo Sung
Energies 2025, 18(1), 177; https://doi.org/10.3390/en18010177 - 3 Jan 2025
Viewed by 347
Abstract
This study addresses the challenges of and opportunities for achieving the ambitious greenhouse gas emissions reduction target of the fishery sector of the Republic of Korea, set at 96% by 2030. We also focus on the current status of land-based aquaculture and underground [...] Read more.
This study addresses the challenges of and opportunities for achieving the ambitious greenhouse gas emissions reduction target of the fishery sector of the Republic of Korea, set at 96% by 2030. We also focus on the current status of land-based aquaculture and underground seawater resource development, quantitatively compare energy inputs for land-based fish cultivation, and evaluate the potential of underground seawater to reduce CO2 emissions. Since 2010, 762 underground seawater boreholes have been developed, yielding a cumulative daily pumpage of 125,780 m3. Jeollanam-do was found to have the highest daily pumpage, with an annual energy requirement of 131,205,613 Mcal. Despite the fact that the energy demands for underground seawater are higher in some months, it provides a 22.6% reduction in total annual energy consumption compared to surface water. The use of underground seawater for heating or cooling resulted in a 24.1% reduction in the required input energy. However, energy requirements increase due to the relatively high surface water temperature in some regions and seasons. This study also highlights the utilization of underground seawater in heating or cooling surface water via indirect applications using geothermal heat pumps. This innovative research broadens the methods of greenhouse gas mitigation, particularly in the agriculture, livestock, and fisheries industries. Full article
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<p>Nationally determined contribution targets and annual greenhouse gas emissions trends of the EU, USA, and Republic of Korea [<a href="#B4-energies-18-00177" class="html-bibr">4</a>].</p>
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<p>Surface area of land-based fish cultivation in the Republic of Korea in 2021: (<b>a</b>) by region, (<b>b</b>) by fish species, and (<b>c</b>) monthly average surface water temperature in 2021. Note: the red line indicates the optimum rearing temperature for olive flounder.</p>
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<p>Current status of underground seawater boreholes in the Republic of Korea: (<b>a</b>) regional pumpage and (<b>b</b>) distribution of underground seawater boreholes by pumpage. Note: a full droplet refers to a pumpage of 10,000 m<sup>3</sup>/day.</p>
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<p>Annual and monthly required input energy comparison for olive flounder cultivation using surface water and underground seawater by region in the Republic of Korea.</p>
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<p>Monthly required input energy difference between surface water and underground seawater for olive flounder cultivation by region in the Republic of Korea.</p>
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<p>(<b>a</b>) Annual required input energy for heating or cooling seawater using surface water or underground seawater and (<b>b</b>) the estimation of CO<sub>2</sub> emissions.</p>
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<p>Classification of underground seawater utilization based on salinity levels and daily pumpage rate.</p>
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<p>Schematic diagram of land-based aquaculture systems utilizing underground seawater. (<b>a</b>) A traditional system with surface seawater heating; (<b>b</b>) an enhanced system with a heat pump and heat recovery for energy savings and reduced emissions.</p>
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14 pages, 5845 KiB  
Article
Simulation Analysis of Energy Inputs Required by Agricultural Machines to Perform Field Operations
by Francesco Paciolla, Katarzyna Łyp-Wrońska, Tommaso Quartarella and Simone Pascuzzi
AgriEngineering 2025, 7(1), 7; https://doi.org/10.3390/agriengineering7010007 - 30 Dec 2024
Viewed by 549
Abstract
The evaluation of direct energy inputs and the assessment of the carbon footprint of an agricultural tractor during the execution of an agricultural operation is a complex task. Methodological approaches such as field surveys and life cycle assessments can provide unreliable and non-repeatable [...] Read more.
The evaluation of direct energy inputs and the assessment of the carbon footprint of an agricultural tractor during the execution of an agricultural operation is a complex task. Methodological approaches such as field surveys and life cycle assessments can provide unreliable and non-repeatable results. This study exploits the use of numerical simulation to assess the fuel consumption of two agricultural tractors and their CO2 emissions during the execution of pesticide treatment and milling. The digital models of the Landini REX 4-120 GB and the Fendt 942 Vario were developed, starting from experimental data acquired during field tests in which the power required at the power take-off (PTO) by the respective operating machine was measured. Two custom working cycles, simulating the two agricultural operations, have been defined and simulated. The estimated fuel consumption was 7.8 L∙ha−1 and 23.2 L∙ha−1, respectively, for the Landini REX 4-120 GB during pesticide treatment and for the Fendt 942 Vario during milling. The corresponding direct energy inputs required for the two agricultural operations were equal to 300.3 MJ∙ha−1 and 893.2 MJ∙ha−1, respectively. The estimated carbon footprint was 26.5 kgCO2∙ha−1 and 68.4 kgCO2∙ha−1 for pesticide treatment and for milling, respectively. Moreover, considering the operational efficiency of the systems, an analysis of the available mechanical work supplied by the fuel was conducted. Full article
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<p>The AGRI IONICA model AGR/P air-assisted sprayer machine towed by the Landini REX 4-120 GB tractor during pesticide treatment. Source: Author’s personal archive.</p>
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<p>Series DG45-400 milling machine towed by the Fendt 942 Vario tractor during the milling operation. Source: Author’s personal archive.</p>
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<p>Rotary torque series 420 Shaft Torque and Power Monitoring System transducer linked between the PTO and the Hooke’s joint connected to (<b>a</b>) the Landini REX 4-120 GB for pesticide treatment and (<b>b</b>) the Fendt 942 Vario for milling operation. Source: Author’s personal archive.</p>
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<p>Schematic of the digital model of the tractor. Source: Author’s personal archive.</p>
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<p>Simulink<sup>®</sup> model of the Engine block. Source: Screenshot from the “Autonomie 2023” software.</p>
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<p>Power (blue line) and torque (orange line) profiles of the Fendt 942 Vario tractor. Source: Modified in MATLAB 2023a (MathWorks).</p>
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<p>Simulink<sup>®</sup> model of the Chassis block. Source: Screenshot from the “Autonomie 2023” software.</p>
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<p>Custom-defined working cycle which simulates (<b>a</b>) pesticide treatment operation and (<b>b</b>) milling operation. Source: Screenshot from “Autonomie 2023” software modified by the authors.</p>
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<p>Control unit display reporting the instantaneous torque, angular speed, and power measured by the transducer at the tractor’s PTO. Source: Author’s personal archives.</p>
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<p>Torque and the PTO angular speed profile as a function of time, measured by the 420 PTO Shaft Torque and Power Monitoring System transducer, during the execution of (<b>a</b>) the spraying operation and (<b>b</b>) the burying operation. Source: Modified by the authors in MATLAB 2023a (MathWorks).</p>
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<p>Speed profile followed by (<b>a</b>) the system Landini REX 4-120 GB–sprayer machine and (<b>b</b>) the Fendt 942 Vario–milling machine during the defined working cycles. Source: Modified by the authors in MATLAB 2023a (MathWorks).</p>
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<p>Fuel consumption of Landini REX 4-120 GB (orange line) and Fendt 942 Vario (blue line) tractors during the defined working cycles. Source: Modified by the authors in MATLAB 2023a (MathWorks).</p>
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13 pages, 1350 KiB  
Article
Analysis of Carbon Reduction Benefits of Ecological Plastic Film Promotion and Use in Qingcheng Town, Shanxi Province
by Yuanyuan Zhang, Xiaomeng Fang, Zhongliang Ge, Qi Zhang, Jiayu Xu, Jiaxing Zhao, Wanying Zhai and Jing Lv
Sustainability 2025, 17(1), 185; https://doi.org/10.3390/su17010185 - 30 Dec 2024
Viewed by 490
Abstract
This study applied a life cycle assessment (LCA) and SimaPro software to calculate the carbon footprint of ecological plastic film in Qingcheng Town. The results indicate that the carbon reduction efficiency of ecological plastic film compared to 0.01 mm PE film ranged from [...] Read more.
This study applied a life cycle assessment (LCA) and SimaPro software to calculate the carbon footprint of ecological plastic film in Qingcheng Town. The results indicate that the carbon reduction efficiency of ecological plastic film compared to 0.01 mm PE film ranged from 30.8% to 40.0%, without accounting for the substitution of humus for chemical fertilizers. When humus substitution was considered, the range increased to 70.2% to 74.2%. Ecological plastic film achieved the greatest emission reduction in the final treatment stage, accounting for 54.1% of total CO2 reduction, followed by the production stage at 44.8%, while the transportation phase contributed only 1.1%. Projecting to 2030, if half of the cultivated land in Shanxi Province uses ecological plastic film instead of 0.01 mm PE film, a 19.7% reduction in carbon emissions is expected. Full coverage with ecological plastic film could raise this to 39.4%. To encourage its adoption, the study suggests that the government offers financial subsidies to enterprises or farmers, promotes agricultural carbon taxes, or supports carbon trading. With a carbon price or tax exceeding 67.1 CNY/t, ecological plastic film achieves cost parity with 0.01 mm PE plastic film. Full article
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<p>Research boundary.</p>
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<p>Carbon dioxide emissions generated at different stages of the life cycle of four scenarios.</p>
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<p>Total CO<sub>2</sub> emissions over the entire life cycle of five scenarios.</p>
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<p>Total CO<sub>2</sub> emissions during the life cycle of promoting ecological plastic film on farmland in Qingcheng Town.</p>
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<p>Percentage of carbon reduction in each stage of 50% promotion of ecological plastic film.</p>
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<p>Total CO<sub>2</sub> emissions at different stages of the life cycle of 50% and 100% promoted use of ecological plastic film on cultivated land in Shanxi Province.</p>
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16 pages, 2285 KiB  
Article
Viticulture Carbon Footprint in Desert Areas of the Global South: A Cabernet Sauvignon Case of Ningxia, China
by Li Li, Yang Liu, Liqin Zhang, Jianjun Li, Tingning Wang and Qizheng Han
Sustainability 2025, 17(1), 180; https://doi.org/10.3390/su17010180 - 29 Dec 2024
Viewed by 719
Abstract
Background: The wine industry in arid area serves as a crucial livelihood source at the frontiers of anti-desertification and anti-poverty. By making use of a carbon footprint (CF) management system, formerly untapped climate values can be explored, embedded, and cherished to connect rural [...] Read more.
Background: The wine industry in arid area serves as a crucial livelihood source at the frontiers of anti-desertification and anti-poverty. By making use of a carbon footprint (CF) management system, formerly untapped climate values can be explored, embedded, and cherished to connect rural communities with the global goals of sustainable development. However, the current standards of CF management mainly represent the traditional wine grape growing areas of Europe, Oceania, and North America. Limited study of the arid areas in lower-income regions exists, which offers a kind of potential development knowledge regarding creating climate-related livelihoods. Methods: This paper attempts to construct a cradle-to-gate CF Life Cycle Assessment (LCA) framework based on the prominent emission factors in three GHG emission phases (raw material input, planting management, and transportation) of a wine grape variety, Cabernet Sauvignon (chi xia zhu), planted at the Eastern Foothills of the Helan Mountains in the Ningxia Hui Autonomous Region of China. Results: It is found that viticulture processes (instead of wine-making, bottling, or distribution) account for a larger proportion of GHG emissions in Ningxia. Due to the large amount of irrigation electricity usage, the less precipitation wine producers have, the larger CF they produce. By using organic fertilizer, the CF of Ningxia Cabernet Sauvignon, being 0.3403 kgCO2e/kg, is not only lower than that of the drier areas in Gansu Province (1.59–5.7 kgCO2e/kg) of Western China, but it is even lower than that of the Israel Negev Region (0.342 kgCO2e/kg) that experiences more rainfall. Conclusions: The measurement of CF also plays a role in understanding low-carbon experience sharing. As the largest wine grape production area in China, CF analysis of the Ningxia region and its commercial value realization might practically fill in the knowledge gap for desert areas in developing countries. It is inspiring to know that by applying green agricultural technologies, the viticulture CF can be effectively reduced. For the potential exchanges in global carbon markets or trading regulations under the Carbon Border Adjustment Mechanism (CBAM), positive variations in CF and soil organic carbon (SOC) storage volume need to be considered within financial institutional design to lead to more participation toward SDGs. Full article
(This article belongs to the Special Issue Carbon Footprints: Consumption and Environmental Sustainability)
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<p>Wine Production Areas of the Eastern Foothills of the Helan Mountains in Ningxia, China. Source: Transportation and administrative division information: National Geographic Information Center (1:4,000,000 and 1:1,000,000, respectively). A 90-m digital elevation model (DEM): Reuter [<a href="#B44-sustainability-17-00180" class="html-bibr">44</a>].</p>
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<p>System boundary diagram for wine grape cultivation. Source: Made by the authors.</p>
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<p>Proportion of carbon footprint in Cabernet Sauvignon life cycle CF. Source: Data based on the field research in the above analysis.</p>
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<p>Comparison among 7 Cabernet Sauvignon CF in different regions. Source: Literature-based data listed in <a href="#sustainability-17-00180-t002" class="html-table">Table 2</a>.</p>
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<p>Annual precipitation of the wine production areas in Ningxia, China (1972–2023). Source: Aggregate data of the 8 wine production areas in Ningxia, National Meteorological Science Data Center (NMSDC), National Meteorological Administration.</p>
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17 pages, 5219 KiB  
Article
Development of a Circular Nutrient Solution Management System Using a Cost Function
by Yeong-Hyeon Shin, Insu Kim, Myongkyoon Yang, Young-Kyun Jang, Ronaldo B. Saludes, Hak-Jin Kim and Woo-Jae Cho
Agronomy 2025, 15(1), 51; https://doi.org/10.3390/agronomy15010051 - 28 Dec 2024
Viewed by 368
Abstract
In this study, an ion monitoring system using ion-selective electrodes (ISEs) was developed to maintain nutrient solutions in closed-loop hydroponic systems within plant factories. Based on this monitoring system, an algorithm and individual ion supplementation system were developed to calculate the optimal amounts [...] Read more.
In this study, an ion monitoring system using ion-selective electrodes (ISEs) was developed to maintain nutrient solutions in closed-loop hydroponic systems within plant factories. Based on this monitoring system, an algorithm and individual ion supplementation system were developed to calculate the optimal amounts of ion replenishment for crop growth. The developed algorithms adopt distinct cost functions to achieve their respective goals. The ion balance-prioritized algorithm minimizes the cost function, which is defined as the sum of the squared differences between the target ion concentrations and the calculated ion concentrations. In contrast, the carbon emission reduction algorithm minimizes the cost function defined as the total carbon emissions, which are calculated by multiplying the individual salt supplementation amounts by their respective carbon emission coefficients. Simulation results demonstrated that the ion balance-prioritized algorithm achieved average errors of 5.5 ± 5.5%, 0.4 ± 0.5%, and 5.0 ± 11.2% for Ca, NO3, and K, respectively, showing superior performance in maintaining ion balance. Meanwhile, the carbon emission reduction algorithm achieved a total of 0.064 kg CO2, representing a 50.19% reduction compared to the ion balance-prioritized type. The developed algorithms and system are expected to reduce costs by minimizing nutrient and water usage through the recycling of waste nutrient solutions. Furthermore, they are anticipated to improve crop productivity by maintaining an optimal ion composition and to contribute to sustainable agriculture through carbon emission reduction. Full article
(This article belongs to the Section Precision and Digital Agriculture)
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<p>Fabrication of ion-selective electrode; (<b>a</b>) ion-selective membrane drying, (<b>b</b>) ion-selective electrode.</p>
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<p>Ion monitoring chamber constructed for this study.</p>
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<p>Schematic diagram of the two-point normalization method.</p>
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<p>Flowchart of the ion monitoring system.</p>
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<p>Flowchart of the ion balance-prioritized and carbon emission reduction algorithms.</p>
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<p>Flowchart of the ion replenishment sequence.</p>
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<p>Individual salt replenishment system. (<b>a</b>) Front view of the ion monitoring and replenishment system. (<b>b</b>) Side view of the ion monitoring and replenishment system. (<b>c</b>) Inside view of the nutrient solution mixing tank.</p>
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<p>Five-step simulation results of each ion: (<b>a</b>) Ca, (<b>b</b>) NO<sub>3</sub>, (<b>c</b>) K.</p>
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<p>(<b>a</b>) Total injected salts and (<b>b</b>) carbon emission results for each algorithm.</p>
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<p>Comparison of ion concentrations in the resulting solutions of the stepwise test predicted by standard analysis and ISEs.</p>
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<p>Individual salt replenishment system test results for each ion: (<b>a</b>) Ca, (<b>b</b>) NO<sub>3</sub>, (<b>c</b>) K.</p>
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19 pages, 5204 KiB  
Article
Assessment of Heavy Metal Content and Identification of Their Sources in Bottom Sediments and Various Macrophyte Species of the Narew River (Poland)
by Mirosław Skorbiłowicz and Marcin Sidoruk
Minerals 2025, 15(1), 8; https://doi.org/10.3390/min15010008 - 25 Dec 2024
Viewed by 327
Abstract
The condition of the aquatic environment, particularly in protected areas of high ecological value such as the Narew River, requires detailed monitoring to identify and minimise the impact of anthropogenic factors on the ecosystem. This study focused on the content of heavy metals [...] Read more.
The condition of the aquatic environment, particularly in protected areas of high ecological value such as the Narew River, requires detailed monitoring to identify and minimise the impact of anthropogenic factors on the ecosystem. This study focused on the content of heavy metals in bottom sediments and macrophytes of the Narew River, emphasising the influence of human activities and natural factors on this ecologically valuable ecosystem. Pb, Cr, Zn, Cd, Fe, and Mn concentrations were analysed in sediment samples, and ten macrophyte species were collected at 11 sampling points along the river. A geochemical index (Igeo) and multivariate statistical analyses were employed to identify sources of contamination. The digested samples (sediments and plants) were analysed for Pb, Cr, Cu, Zn, Ni, Cd, Fe, and Mn using flame atomic absorption spectrometry (AAS) on an ICE 3500 Thermo Scientific spectrometer, with a measurement error below 5%, validated against certified reference materials. The study results indicated that most metals, including Ni, Cr, Co, Fe, and Mn, predominantly originate from natural geological processes. In contrast, Zn, Cd, Cu, and Pb were identified as being enriched due to anthropogenic activities. An analysis of macrophytes revealed varied patterns of metal accumulation, which correspond to the bioavailability of metals and their environmental concentrations. Comprehensive statistical analyses provided insights into the predominant sources of metal contamination, closely associated with industrial emissions, agricultural runoff, and transportation activities. The integration of sediment and macrophyte monitoring allowed for a thorough evaluation of the Narew River ecosystem, facilitating the identification of key pollution sources. These findings highlight the critical need for measures to mitigate anthropogenic contributions of heavy metals—particularly from industrial, agricultural, and transportation sectors—to safeguard the Narew River’s unique ecological and natural heritage. Full article
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<p>Locations of measurement points along the Narew River in Poland.</p>
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<p>Factor scores in points—bottom sediments.</p>
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<p>Factor scores in points—macrophytes.</p>
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<p>Hierarchical dendrograms for heavy metals in sediments obtained by Ward’s hierarchical clustering method.</p>
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<p>Hierarchical dendrograms for heavy metals in macrophytes were obtained by Ward’s hierarchical clustering method.</p>
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