Caption (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 ...

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.

Global solar radiation (Hg) is a foundational input for calculating evapotranspiration, crop growth, irrigation needs, and ...

This startup uses machine learning and satellite imagery to predict crop yields Artificial intelligence + nanosatellites + corn by Alex Brokaw Aug 4, 2016, 7:22 AM PDT ...

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

Deepspatial has created a novel artificial intelligence-driven technology that solves several obstacles in agricultural practices such as crop yield prediction, crop rotation, crop selection, and ...

A novel genotype-by-environmental interaction machine-learning model can predict crop yield with environmental data and genetic information more efficiently and accurately than an established model.