A Machine Learning-based Agricultural Recommender System

The paper discusses the importance of agriculture in India’s economy and the obstacles that farmers encounter as a result of variables such as climate change and technical constraints. The initiative attempts to use machine learning and data mining techniques to connect traditional agricultural practices with current data-driven insights. The system is specifically developed to forecast agricultural output, suggest appropriate crops based on soil and meteorological factors, and optimize fertilizer use to maximize production. The initiative aims to enhance farmers’ capabilities by using sophisticated algorithms and analyzing historical data. This will provide individualized advice, enhance agricultural practices, and stimulate economic development in the agricultural sector. The abstract emphasizes the capacity of machine learning to transform agricultural farming, improve sustainability, and assist farmers in making well-informed choices to optimize profitability.