Modern agriculture is a data-rich but decision-constrained domain, where traditional methods struggle to keep pace with ...

Overview: AI-driven precision farming enables real-time crop monitoring using data from sensors, satellites, and drones to ...

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

In recent years, agriculture has seen a revolutionary transformation with the integration of advanced technologies such as machine learning and microbiome analysis. These groundbreaking innovations ...

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 ...