Accurately predicting complex agronomic traits remains a major bottleneck in crop breeding. This study demonstrates how optimized genomic prediction models can reliably forecast flowering time, yield ...

Technologies that harness the power of AI, machine learning, and advanced data modelling techniques to provide farmers with increasingly more accurate insights are also being increasingly adopted.

A new study shows that machine-learning models can accurately predict daily crop transpiration using direct plant measurements and environmental data. By training models on seven years of ...