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 ...

Since 2021, Korean researchers have been providing a simple software development framework to users with relatively limited ...

Accurately predicting complex agronomic traits remains a major bottleneck in crop breeding. This study demonstrates how ...

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

A new method predicts leaf optical properties from traits, improving canopy light modeling and photosynthesis estimates in ...

In food drying applications, machine learning has demonstrated strong capability in predicting drying rates, moisture ...

The Week 16 NFL schedule features 16 more games, including several with potential playoff ramifications, such as Steelers vs. Lions, Broncos vs. Jaguars and Ravens vs. Patriots. Another such is a ...

Crop nutrition and quality formation are complex processes influenced by genotype, environment, and management practices.

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

Healthcare leaders tell MobiHealthNews that 2026 will be the year artificial intelligence is put to the test. Executives across health systems, startups, big tech and investors predict a shift in AI ...