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 ...

The transformation is documented in the study A Review of Drones in Smart Agriculture: Issues, Models, Trends, and Challenges ...

A research team has developed a new hybrid artificial intelligence framework that can accurately estimate leaf nitrogen content without relying on labor-intensive field measurements.

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 ...

The Week 15 NFL schedule features 16 more games, including several with potential playoff ramifications. One such game is an AFC East battle between the Buffalo Bills (9-4) and New England Patriots ...

The integration of bioinformatics, machine learning and multi-omics has transformed soil science, providing powerful tools to ...

Forbes contributors publish independent expert analyses and insights. Charles writes about organisational changes required to scale & AI. Writing predictions for the future is a fool’s game. So, I am ...

A new study presents a zero-shot learning (ZSL) framework for maize cob phenotyping, enabling the extraction of geometric traits and estimation of yields in both laboratory and field settings without ...

Abiotic stress physiology is a critical field within plant science, particularly as climate change and environmental ...

As you’re planning for 2025, make sure you’re getting the most out of your soybeans – no matter the conditions you face. “You could be rotating crop fields and choosing the right varieties, but in ...