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

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

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 ...

For much of its history, corporate automation adoption has been a slow, incremental process. That steady march is now poised to become a transformative leap. We are at the inflection point when the ...