UTokyo and Kubota develop a drone potato yield prediction method combining multispectral imagery, AI, and growth models.

Enko CEO Tony Klemm explains why smarter R&D decisions, capital efficiency, and product delivery will define crop ...

When it comes to drought stress, timing can be the difference between saving a crop and losing it, whether in a greenhouse or in the high-stakes environment of future space missions. In a recent study ...

CES 2023 in Las Vegas assembled over 3,200 exhibitors, including 1,000 startups, with a notable surge in agricultural ...

For Virginia farmer David Hula, counting kernels this early in the growing season is unusual, but in a field that’s rooted in testing what’s possible, it’s providing a peek into what may be next. One ...

A multidisciplinary team of researchers has developed an artificial intelligence (AI) model that can predict acute child malnutrition in Kenya up to six months in advance. The tool offers governments ...

In a significant advancement for smart agriculture and precision farming, researchers at Chandigarh University have developed ...

For generations, agronomic knowledge has been produced on research stations like AU Flakkebjerg, where fields are designed to answer specific scientific questions. This is where agriculture became ...

Abstract: Precise estimation of crop yield is crucial for ensuring food security, managing the supply chain, optimally utilizing resources, promoting economic growth, enhancing climate resilience, ...

In “Prophecy,” Carissa Véliz explores how generative A.I. relies on prediction, enriching Big Tech while making the rest of us less safe. Credit...Ben Jones Supported by By Jennifer Szalai When you ...

Abstract: Agriculture is pivotal for the economy of a country as it is a major source of food, employment and raw materials. However, challenges such as diseases, soil degradation, and water scarcity ...

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 ...