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Computers and Electronics in Agriculture, Volume 168
Volume 168, January 2020
- Andrew Margenot, Terry O'Neill, Rolf Sommer, Venkatesh Akella:
Predicting soil permanganate oxidizable carbon (POXC) by coupling DRIFT spectroscopy and artificial neural networks (ANN). - Jiangtao Ji, Kaikang Chen, Xin Jin, Zhaoyang Wang, Baoqiong Dai, Jingyuan Fan, Xiaojun Lin:
High-efficiency modal analysis and deformation prediction of rice transplanter based on effective independent method. - Gang Wang
, Gilbert Van Stappen, Bernard De Baets:
Automated Artemia length measurement using U-shaped fully convolutional networks and second-order anisotropic Gaussian kernels. - Felipe Napolitano da Fonseca, Jair Minoro Abe, Irenilza de Alencar Nääs, Alexandra Ferreira da Silva Cordeiro, Fábio Vieira do Amaral, Henry Costa Ungaro:
Automatic prediction of stress in piglets (Sus Scrofa) using infrared skin temperature. - Lauren R. Williams, Steven T. Moore, Greg Bishop-Hurley
A sensor-based solution to monitor grazing cattle drinking behaviour and water intake. - Miguel Condorí, Federico Albesa, Fabiana Altobelli, Gonzalo Duran, Claudio Sorrentino
Image processing for monitoring of the cured tobacco process in a bulk-curing stove. - Alejandro González
MyROOT 2.0: An automatic tool for high throughput and accurate primary root length measurement. - Nikrooz Bagheri
Application of aerial remote sensing technology for detection of fire blight infected pear trees. - S. Barkhordari, Seied Mehdy Hashemy Shahdany
Reducing losses in earthen agricultural water conveyance and distribution systems by employing automatic control systems. - Yuzhen Lu
Enhancing chlorophyll fluorescence imaging under structured illumination with automatic vignetting correction for detection of chilling injury in cucumbers. - Yong Zhong, Ming Zhao:
Research on deep learning in apple leaf disease recognition. - Cheng Li, Ranjeeta Adhikari, Yuan Yao, Alexander G. Miller, Kirby Kalbaugh
Measuring plant growth characteristics using smartphone based image analysis technique in controlled environment agriculture. - Xijia Zhou, Pengxin Wang, Kevin Tansey, Shuyu Zhang, Hongmei Li, Lei Wang:
Developing a fused vegetation temperature condition index for drought monitoring at field scales using Sentinel-2 and MODIS imagery. - Piero Manna
A geospatial decision support system to assist olive growing at the landscape scale. - Michael T. Gorczyca
Ranking of environmental heat stressors for dairy cows using machine learning algorithms. - Daniel dos Santos Costa
IRIS-GRAPE: An approach for prediction of quality attributes in vineyard grapes inspired by iris biometric recognition. - Domingos Sárvio Magalhães Valente
Accuracy and precision evaluation of two low-cost RTK global navigation satellite systems. - Anniek Eerdekens
Automatic equine activity detection by convolutional neural networks using accelerometer data. - Mathieu Bonneau, Jehan-Antoine Vayssade
Outdoor animal tracking combining neural network and time-lapse cameras. - Burawich Pamornnak
A microwave reflectometer technique for classifying a rubber cup lump. - Said Benaissa
Calving and estrus detection in dairy cattle using a combination of indoor localization and accelerometer sensors. - Wen-Hao Su
Non-destructive evaluation of photostability of crop signaling compounds and dose effects on celery vigor for precision plant identification using computer vision. - Haseeb Nazki, Sook Yoon, Alvaro Fuentes
Unsupervised image translation using adversarial networks for improved plant disease recognition. - Juncheng Ma
Segmenting ears of winter wheat at flowering stage using digital images and deep learning. - Salavat Mudarisov, Ildar Badretdinov, Zinnur Rakhimov, Ramil Lukmanov, Elmas Nurullin:
Numerical simulation of two-phase "Air-Seed" flow in the distribution system of the grain seeder. - Ignacio A. Quiroz
Image recognition of Legacy blueberries in a Chilean smart farm through deep learning. - Flavio A. P. Alvarenga, I. Borges, V. H. Oddy, R. C. Dobos:
Discrimination of biting and chewing behaviour in sheep using a tri-axial accelerometer. - Hongwei Li, Yaning Chen:
Assessing potential land suitable for surface irrigation using groundwater data and multi-criteria evaluation in Xinjiang inland river basin. - L. Michael Griffel, Veronika Vazhnik, Damon S. Hartley
Agricultural field shape descriptors as predictors of field efficiency for perennial grass harvesting: An empirical proof. - Getulio Fonseca Domingues
Artificial neural networks on integrated multispectral and SAR data for high-performance prediction of eucalyptus biomass. - Peerapong Pakawanich, Apinanthana Udomsakdigool, Charoenchai Khompatraporn:
Robust production allocation model for an agricultural cooperative with yield uncertainty and similar revenue constraints. - Seyyed-Mahdi Hosseini-Motlagh
A novel hybrid approach for synchronized development of sustainability and resiliency in the wheat network. - Kangji Li, Zhengdao Sha, Wenping Xue, Xu Chen
A fast modeling and optimization scheme for greenhouse environmental system using proper orthogonal decomposition and multi-objective genetic algorithm. - Wan-Soo Kim
Machine vision-based automatic disease symptom detection of onion downy mildew. - Alireza Mahdavian, Saeid Minaei, Ce Yang, Farshad Almasganj, Shaban Rahimi, Peter M. Marchetto:
Ability evaluation of a voice activity detection algorithm in bioacoustics: A case study on poultry calls. - Mark A. Lee, Angelo Monteiro, Andrew Barclay, Jon Marcar, Mirena Miteva-Neagu, Joe Parker
A framework for predicting soft-fruit yields and phenology using embedded, networked microsensors, coupled weather models and machine-learning techniques. - Ömer Baris Özlüoymak, Ali Bolat:
Development and assessment of a novel imaging software for optimizing the spray parameters on water-sensitive papers. - Dercilio Junior Verly Lopes, Greg W. Burgreen, Gabrielly dos Santos Bobadilha, H. Michael Barnes:
Automated means to classify lab-scale termite damage. - Ruben Van de Vijver, Koen C. Mertens, Kurt Heungens
In-field detection of Alternaria solani in potato crops using hyperspectral imaging. - Hanwen Kang, Chao Chen:
Fast implementation of real-time fruit detection in apple orchards using deep learning. - Zhenfen Dong, Yuheng Men
Application of chlorophyll fluorescence imaging technique in analysis and detection of chilling injury of tomato seedlings. - Juan-Pablo Ramirez-Paredes
Visual quality assessment of malting barley using color, shape and texture descriptors. - Justin Sexton, Yvette Everingham, David Donald, Steve Staunton, Ronald D. White
Investigating the identification of atypical sugarcane using NIR analysis of online mill data. - Hosain Darvishi, Zanyar Farhudi, Nasser Behroozi-Khazaei
Multi-objective optimization of savory leaves drying in continuous infrared-hot air dryer by response surface methodology and desirability function. - Jiangtao Li
Multi-scale detection of stored-grain insects for intelligent monitoring. - Lifeng Wu
Hybrid extreme learning machine with meta-heuristic algorithms for monthly pan evaporation prediction. - Mei Shin Oh, Zhiyuan Chen
An economic feasibility assessment framework for underutilised crops using Support Vector Machine. - Kazumasa Wakamori
Multimodal neural network with clustering-based drop for estimating plant water stress. - Joel Janek Dabrowski, Ashfaqur Rahman, Daniel Edward Pagendam, Andrew George:
Enforcing mean reversion in state space models for prawn pond water quality forecasting. - Jordi Gené-Mola
Fruit detection, yield prediction and canopy geometric characterization using LiDAR with forced air flow.
- Decíola Fernandes de Sousa, Sueli Rodrigues, Herdjania Veras de Lima, Lorena Torres Chagas:
R software packages as a tool for evaluating soil physical and hydraulic properties.
- Yang Wang, Baoming Li, Chao Liang
Dynamic simulation of thermal load and energy efficiency in poultry buildings in the cold zone of China.
- Yasin Osroosh, Lav R. Khot
Corrigendum to "Detecting fruit surface wetness using a custom-built low-resolution thermal-RGB imager". [Comput. Electron. Agric. 157 (2019) 509-517].
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