Artificial intelligence (AI) is the buzz phrase of 2024. Though far from that cultural spotlight, scientists from agricultural, biological and technological backgrounds are also turning to AI as they collaborate to find ways for these algorithms and models to analyze datasets to better understand and predict a world impacted by climate change. Scientists have now demonstrated 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.
