For centuries, farmers have looked attentively at the sky and the earth to interpret the signs nature provides when they are working their fields. This ancestral knowledge has been passed down from ...

The integration of AI and IoT has transformed farming into a dynamic data ecosystem, where predictive insights replace ...

A research team has developed ChatLeafDisease (ChatLD) — a training-free crop disease classification framework built on the GPT-4o large language model (LLM) with Chain-of-Thought (CoT) prompting.

Cutting-edge soil analysis techniques from LECO are revolutionizing carbon and nitrogen measurement, crucial for sustainable ...

After decades of recording detailed information about different varieties of crops, their traits and the DNA sequences they ...

On a small plot of land in Polk County, a company is hard at work crafting a road out of radioactive materials.

Key points AI can uncover hidden patterns in crops and climate, offering farmers powerful new tools for resilience and ...

In this opinion piece, University of Nebraska President Jeffrey P. Gold and University of Nebraska–Lincoln Interim Harlan ...

A research team has now developed an advanced computer vision system that precisely measures the size of oriental melons grown in vertical cultivation systems, even when the fruits are heavily ...

Physical world AI, or autonomous machines' situational awareness, is improving thanks to data and cloud-edge systems, writes ...

Protein hydrolysates are mixtures of amino acids, peptides, and other small organic molecules derived from the controlled ...

FAO’s Earth Observation for Agricultural Statistics (EOSTAT) is helping Zimbabwe harness satellite data to generate timely, reliable crop and yield estimates, achieving over 80 percent accuracy. The ...