Precision Agriculture Using Machine Learning

Abstract

Precision agriculture uses machine learning and technologies like IoT sensors, drones, and satellite data to improve farming efficiency. It helps farmers monitor soil, weather, and crop health in real time, enabling better decisions for irrigation, disease control, and yield prediction. This data-driven approach reduces resource waste, lowers costs, and increases productivity. Overall, it supports sustainable farming and improves food security.

How to cite this paper

Keshav Kolekar, Prajwal Mhatre, Shivraj Kachare , Ashish kolekar . "Precision Agriculture Using Machine Learning ." PaperNova (2026). https://www.papernova.online/papers/precision-agriculture-using-machine-learning-p9ypy