Recent years have seen a significant increase in the availability of large datasets for agriculture applications. Remote ...

MINNEAPOLIS / ST. PAUL (04/28/2022)—A team of researchers led by the University of Minnesota has significantly improved the performance of numerical predictions for agricultural nitrous oxide ...

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 ...

India ranks third globally in machine learning-driven scientific research, as per the ML Global Impact Report 2025. With its expanding network of universities, national laboratories, and startups, ...

With AgTech, farmers have the ability to apply sensors, drones, GIS, farm-management software, robotics, machine learning and blockchain to their day-to-day work, giving them full control over their ...

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 ...

Among the most significant recommendations is the development of multi-scale monitoring networks that seamlessly integrate ...

This study leverages advanced genomics and machine learning to refine the understanding of key fruit quality traits in ...

India has emerged as one of the world’s most dynamic and rapidly advancing centers for machine learning (ML)–enabled ...