[go: up one dir, main page]
More Web Proxy on the site http://driver.im/

Mumtaz et al., 2017 - Google Patents

Analysis of meteorological variations on wheat yield and its estimation using remotely sensed data. A case study of selected districts of Punjab Province, Pakistan …

Mumtaz et al., 2017

View PDF
Document ID
13758830403044690369
Author
Mumtaz R
Baig S
Fatima I
Publication year
Publication venue
Italian Journal of Agronomy

External Links

Snippet

Land management for crop production is an essential human activity that supports life on Earth. The main challenge to be faced by the agriculture sector in coming years is to feed the rapidly growing population while maintaining the key resources such as soil fertility, efficient …
Continue reading at www.agronomy.it (PDF) (other versions)

Classifications

    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K9/00624—Recognising scenes, i.e. recognition of a whole field of perception; recognising scene-specific objects
    • G06K9/0063—Recognising patterns in remote scenes, e.g. aerial images, vegetation versus urban areas
    • G06K9/00657—Recognising patterns in remote scenes, e.g. aerial images, vegetation versus urban areas of vegetation
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01W—METEOROLOGY
    • G01W1/00—Meteorology
    • G01W1/10—Devices for predicting weather conditions
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06Q—DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q40/00—Finance; Insurance; Tax strategies; Processing of corporate or income taxes
    • G06Q40/06—Investment, e.g. financial instruments, portfolio management or fund management
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06Q—DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q30/00—Commerce, e.g. shopping or e-commerce
    • G06Q30/02—Marketing, e.g. market research and analysis, surveying, promotions, advertising, buyer profiling, customer management or rewards; Price estimation or determination

Similar Documents

Publication Publication Date Title
Panek et al. Analysis of relationship between cereal yield and NDVI for selected regions of Central Europe based on MODIS satellite data
Nagy et al. Wheat and maize yield forecasting for the Tisza river catchment using MODIS NDVI time series and reported crop statistics
Sakamoto Incorporating environmental variables into a MODIS-based crop yield estimation method for United States corn and soybeans through the use of a random forest regression algorithm
Li et al. Crop yield forecasting and associated optimum lead time analysis based on multi-source environmental data across China
Lopresti et al. Relationship between MODIS-NDVI data and wheat yield: A case study in Northern Buenos Aires province, Argentina
Ceglar et al. Impact of meteorological drivers on regional inter-annual crop yield variability in France
Becker-Reshef et al. A generalized regression-based model for forecasting winter wheat yields in Kansas and Ukraine using MODIS data
Simonneaux et al. The use of high‐resolution image time series for crop classification and evapotranspiration estimate over an irrigated area in central Morocco
Jégo et al. Using Leaf Area Index, retrieved from optical imagery, in the STICS crop model for predicting yield and biomass of field crops
Conrad et al. Satellite based calculation of spatially distributed crop water requirements for cotton and wheat cultivation in Fergana Valley, Uzbekistan
Scudiero et al. Remote sensing is a viable tool for mapping soil salinity in agricultural lands
Mumtaz et al. Analysis of meteorological variations on wheat yield and its estimation using remotely sensed data. A case study of selected districts of Punjab Province, Pakistan (2001-14)
CN104089647B (en) A kind of crop pest occurrence scope monitoring method and system
Zhong et al. Phenology-based crop classification algorithm and its implications on agricultural water use assessments in California’s Central Valley
Lebrini et al. Identifying agricultural systems using SVM classification approach based on phenological metrics in a semi-arid region of Morocco
Lamchin et al. Monitoring of vegetation dynamics in the Mongolia using MODIS NDVIs and their relationship to rainfall by natural zone
Maselli et al. An improved NDVI-based method to predict actual evapotranspiration of irrigated grasses and crops
Parida et al. Detecting drought-prone areas of rice agriculture using a MODIS-derived soil moisture index
Pang et al. Pixel-level rice planting information monitoring in Fujin City based on time-series SAR imagery
Dalezios et al. Remotely sensed methodologies for crop water availability and requirements in precision farming of vulnerable agriculture
Shoko et al. Applying the Surface Energy Balance System (SEBS) remote sensing model to estimate spatial variations in evapotranspiration in Southern Zimbabwe
Parihar et al. FASAL: An integrated approach for crop assessment and production forecasting
Takeuchi et al. Near-real time meteorological drought monitoring and early warning system for croplands in asia
Das et al. Geospatial assessment of agricultural drought (a case study of Bankura District, West Bengal)
Hassan et al. Modeling and monitoring wheat crop yield using geospatial techniques: a case study of Potohar region, Pakistan