Instead, Descartes relies on 4 petabytes of satellite imaging data and a machine learning algorithm to figure out how healthy the corn crop is from space. Corn yield prediction is big business in ...

(a) regression method with inputs of weather factors and vegetation indices; (b) is biomass and harvest index model; (c) is a crop growth model with input of weather, soil, vegetation ...

Ensemble models, comprising multiple algorithms or simulations to improve prediction accuracy, are increasingly being applied ...

A new machine-learning model for predicting crop yield using environmental data and genetic information can be used to develop new, higher-performing crop varieties. Igor Fernandes, a statistics ...

AI has the ability to handle complex and nonlinear data effectively, using tools such as machine-learning algorithms to produce precise results for crop yield prediction.