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 ...

The study sheds light on the widespread use of CPS in crop management, smart greenhouses, precision irrigation, livestock ...

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 ...

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 ...

Google’s X “moonshot factory” this week announced its latest graduate. Heritable Agriculture is a data- and machine learning-driven startup aiming to improve how crops are grown.. As the ...