QA
The scope of machine learning (ML) in agriculture spans precision farming, predictive analytics, and automated monitoring, aiming to boost productivity and sustainability. Key applications include crop/soil monitoring, yield prediction, disease detection,, weed management, and AI-driven automated robotics