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.

This startup uses machine learning and satellite imagery to predict crop yields Artificial intelligence + nanosatellites + corn ...

Researchers are using the Blue Waters supercomputer to create better tools for long-Term crop prediction. NCSA Professor Kaiyu Guan and NCSA postdoc fellow, Bin Peng have implemented and evaluated a ...

The CNN model could predict yield accurately during the ripening stage and detect cultivar and water management differences in yield in the prediction dataset. The AI-based method is available to ...

Improved model could help scientists better predict crop yield, climate change effects Date: July 9, 2019 Source: Carl R. Woese Institute for Genomic Biology, University of Illinois at Urbana ...

UC Davis researchers report that their new flexible statistical model predicts that climate change will cause wheat and barley yields to decline by 17 to 33 percent by the end of the century.

This article presents a statistical model of agricultural yield data based on a set of hierarchical Bayesian models that allows joint modeling of temporal and spatial autocorrelation. This method ...

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.