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Ish: Sunflower crop yield prediction by advanced statistical modeling using satellite-derived vegetation indices and crop phenology
Red and photographic infrared linear combinations for monitoring vegetation
MaqolaOchiq kirish197925 iqtibosABISignificant Remote Sensing Vegetation Indices: A Review of Developments and Applications
Sharh maqolaOchiq kirish201710 iqtibosABIApplication of Vegetation Indices for Agricultural Crop Yield Prediction Using Neural Network Techniques
Sudhanshu Panda, Daniel P. Ames, Suranjan Panigrahi
MaqolaOchiq kirish20105 iqtibosABIImportance of phenological observations and predictions in agriculture
MaqolaOchiq kirish20054 iqtibosABIHigh resolution wheat yield mapping using Sentinel-2
Merryn Hunt, George Alan Blackburn, Luis Carrasco +2
MaqolaOchiq kirish20194 iqtibosABITime-series analysis of Sentinel-2 satellite images for sunflower yield estimation
Khilola Amankulova, Nizom Farmonov, László Mucsi
MaqolaOchiq kirish20223 iqtibosABIA uniform decimal code for growth stages of crops and weeds
Peter Lancashire, H. Bleiholder, T. van den Boom +4
Maqola19912 iqtibosABIRandom Forests for Global and Regional Crop Yield Predictions
Jig Han Jeong, Jonathan P. Resop, Nathaniel D. Mueller +8
MaqolaOchiq kirish20162 iqtibosABIUse time series NDVI and EVI to develop dynamic crop growth metrics for yield modeling
Sadia Alam Shammi, Qingmin Meng
MaqolaOchiq kirish20202 iqtibosABI