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Ish: Effectiveness of machine learning and deep learning models at county-level soybean yield forecasting
Machine Learning in Agriculture: A Review
Κωνσταντίνος Λιάκος, Patrizia Busato, Dimitrios Moshou +2
Sharh maqola201812 iqtibosABIThe DSSAT cropping system model
J. W. Jones, Gerrit Hoogenboom, Cheryl Porter +7
Maqola20029 iqtibosABIApplication of Vegetation Indices for Agricultural Crop Yield Prediction Using Neural Network Techniques
Sudhanshu Panda, Daniel P. Ames, Suranjan Panigrahi
MaqolaOchiq kirish20105 iqtibosABIHigh resolution wheat yield mapping using Sentinel-2
Merryn Hunt, George Alan Blackburn, Luis Carrasco +2
MaqolaOchiq kirish20194 iqtibosABIIntegrating satellite and climate data to predict wheat yield in Australia using machine learning approaches
Yaping Cai, Kaiyu Guan, David B. Lobell +8
MaqolaOchiq kirish20193 iqtibosABIAn overview of APSIM, a model designed for farming systems simulation
B. A. Keating, Peter Carberry, Graeme Hammer +20
MaqolaOchiq kirish20023 iqtibosABI1D convolutional neural networks and applications: A survey
Kiranyaz, Mustafa Serkan, Onur Avcı, Osama Abdeljaber +3
Maqola20223 iqtibosABICounty-Level Soybean Yield Prediction Using Deep CNN-LSTM Model
Jie Sun, Liping Di, Ziheng Sun +2
MaqolaOchiq kirish20192 iqtibosABIComparative assessment of environmental variables and machine learning algorithms for maize yield prediction in the US Midwest
Yanghui Kang, Mutlu Özdoğan, Xiaojin Zhu +3
MaqolaOchiq kirish20202 iqtibosABI