AI Assisted Plant Disease Detection, Crop And Fertilizer Recommendation System

Agriculture is a cornerstone of India's economy, employing nearly half of its population and contributing significantly to its growth. Understanding the importance of nutrient management for crop productivity is paramount. However, Indian farmers face formidable challenges, including unpredictable irrigation patterns and poor soil quality, often lacking the necessary knowledge and resources for informed decision-making in crop selection and fertilizer use. Crop failures have profound consequences, affecting livelihoods and food security, while also posing risks to the environment. To address these challenges, our research presents an innovative solution in the form of an open-source, user-friendly web application. This application offers support for crop and fertilizer recommendations, a forecast of plant diseases, and an interactive news stream. Additionally, our approach incorporates interpretability techniques to elucidate predictions made by our disease detection model, making it a comprehensive tool for farmers and stakeholders in the agricultural sector. Our research endeavors to provide a practical and efficient solution to enhance crop production, thereby contributing to the sustainable development of India's agriculture and economy.