Agricultural Crop Recommendation System
D. Balakrishnan, Anumula Praneeth Kumar, Kristipati Sai Kiran Reddy, R. Ravindra Kumar, K. Aadith, Sudarsi Madhan
Abstract
The Agricultural Crop Recommendation System using machine learning is a software application that utilizes artificial intelligence algorithms to provide recommendations to farmers on the best crops to plant based on their specific farming conditions. The system collects and analyzes various data sources, such as soil quality, climate, and historical crop yields, to make personalized crop recommendations. The system is easy to use and can be accessed through a web-based platform or mobile app. The implementation of this system can help farmers to optimize their crop production, reduce costs, and increase efficiency in agricultural activities.The implementation of a machine learning-based Agricultural Crop Recommendation System holds immense potential to transform the agricultural sector. By leveraging data-driven insights, this system can offer farmers recommendations that are both sustainable and profitable, enabling them to make informed decisions and enhance their overall productivity.