crossrefAgriculture2023-06-03Cited by 37
Application of Machine Learning and Neural Networks to Predict the Yield of Cereals, Legumes, Oilseeds and Forage Crops in Kazakhstan
Marzhan Sadenova, Nail Beisekenov, Petar Sabev Varbanov, Ting Pan
The article provides an overview of the accuracy of various yield forecasting algorithms and offers a detailed explanation of the models and machine learning algorithms that are required for crop yield forecasting. A unified crop yield forecasting methodology is developed, which…