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 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 ...

To help researchers better predict high-yielding crop traits, a team have stacked together six high-powered, machine learning algorithms that are used to interpret hyperspectral data -- and they ...

AI, machine learning (ML), and the IoT sensors that provide real-time data for algorithms increase agricultural efficiencies, improve crop yields, and reduce food production costs ...

Then, they tasked the neural network with predicting yield. “We developed methodology using deep learning to generate yield predictions,” said Nicolas Martin, co-author of the research and an ...

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. These yield prediction ...

FAYETTEVILLE, Ark. — 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 ...