AI-driven platforms increasingly assist farmers in choosing when to plant, irrigate, fertilize, or harvest. These systems ...

Learn how the LaserWeeder’s advanced computer vision system and AI deep learning models promote sustainable agricultural practices while differentiating weeds from crops in real-time. In this second ...

This review shows that machine learning enables early disease diagnosis, automates selective tea-bud harvesting, evaluates sensory quality using multi-sensor fusion, and predicts yields with higher ...

Data quality problems are systemic in agriculture, the researchers note. Historical reliance on local practices, fragmented ...

“Drought is different during spring versus summer versus fall. There’s so much data that we can have available to us, and so many different permutations of that. Machine learning and AI is an ideal ...

EQT Foundation has invested in UK-based Biographica as part of its seed round, supporting the company’s machine learning platform for faster and more accurate crop gene discovery. Biographica’s ...

Machine learning is a subfield of artificial intelligence, which explores how to computationally simulate (or surpass) humanlike intelligence. While some AI techniques (such as expert systems) use ...