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

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

A research team has developed a new hybrid artificial intelligence framework that can accurately estimate leaf nitrogen ...

For decades, soil management has relied on sparse field sampling and averaged recommendations. While effective in relatively uniform landscapes, this approach breaks down in real-world fields where ...

Artificial intelligence is quietly reshaping how crops are bred, and the biggest gains may come not in corn or wheat but in ...

Recent developments in machine learning techniques have been supported by the continuous increase in availability of high-performance computational resources and data. While large volumes of data are ...

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 Hebrew University study suggests AI tools could help growers better manage water use by predicting healthy plant behavior and flagging early signs of stress.

We all know that chatbots can be a crutch. But when used wisely, they’ll help you improve how you absorb, practice, and retain knowledge. Here's how I do it. From the laptops on your desk to ...

The theme that consumed the crops side of agriculture in 2024 was this: tighter margins with producers from coast to coast searching for ways to cut back “It’s no secret 2024 was a tough year across ...

A new Israeli study suggests that machine-learning models may soon give growers a far more precise way to predict how much water their crops use each day, while also laying the groundwork for earlier ...