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

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 ...

There may be snow on the ground, but a group of local researchers are competing against three other Canadian teams to bring ...

At the heart of this transformation is the Large Language Model (LLM), an advanced AI system that learns from vast amounts of ...

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

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

Agriculture is seeing boosts in crop yields and better resource use thanks to smart sensors and monitoring, offering more ...

Every agronomist says to soil test your fields to make sure they are up to the challenge of delivering profitable yields in the most cost-effective way possible. While you’ve probably heard that ...

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 ...

Crypto didn’t just have a good year in 2025. It thrived in ways that would have seemed like wishful thinking only a couple of years ago when banks shunned it as a liability, and Gary Gensler’s ...