System using underground sensors and AI can predict soil moisture with 95% accuracy, revolutionizing agricultural irrigation.

This paper investigates the application of machine learning techniques for crop yield prediction, focusing on K-Nearest Neighbors (KNN), Random Forest, and Long Short-Term Memory (LSTM) networks.

India's wheat harvest is expected to rise in 2026 from a year earlier but fall short of initial estimates after unseasonal ...

AI promises to transform modern crop breeding, helping develop more resilient, nutritious, and higher-yielding crops with ...