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 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 ...

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

The NFL Week 18 schedule features 14 games on Sunday, including an 'SNF' matchup between the Baltimore Ravens and Pittsburgh Steelers. The AFC North title and a playoff spot will be on the line when ...

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