Overview AI enhances farm productivity by detecting crop diseases early and optimizing resource usage efficiently.Livestock ...

Artificial intelligence and machine learning play an increasingly important role. Algorithms trained on large datasets are ...

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 ...

Overview AI in soil health analysis enables faster, more accurate assessment of soil conditions using data from sensors, satellites, and field records.Artificia ...

Artificial intelligence allows farmers to increase yields by spotting pests and diseases early — and has led to a new wave of indoor growing startups.

Blockchain has been integrated into various industries — agriculture is no exception. With AgTech, farmers have the ability to apply sensors, drones, GIS, farm-management software, robotics, machine ...

In food drying applications, machine learning has demonstrated strong capability in predicting drying rates, moisture ...

India’s agricultural sector is the backbone of its economy, employing nearly half the workforce and ensuring food security and rural livelihoods. Yet it faces mounting challenges—from climate change ...