September 25, 2024

Purdue researchers acquire and analyze data through AI network that predicts maize yield


Melba Crawford (AGRY/CCE) and Mitch Tuinstra (AGRY) are featured discussing a recent study they co-authored that demonstrates the capability of a recurrent neural network. A model that teaches computers to process data using long short-term memory to predict maize yield from several remote sensing technologies and environmental and genetic data.