AI-Powered Solutions for Crop Disease Prediction, Market Stability, and Sustainable Fertilizer Use to Enhance Farmer Productivity

Abstract

Farmers face persistent challenges such as crop diseases, fluctuating market conditions, and the unsustainable use of fertilizers, all of which contribute to financial instability and reduced productivity. In response, this proposal suggests developing an AI-powered platform to help mitigate these issues. The platform will use advanced machine learning algorithms to predict and identify crop diseases, facilitate contract farming to ensure stable market access, and offer data-driven recommendations for efficient fertilizer usage. This system aims to improve productivity, ensure income stability, and promote sustainable farming practices. This proposal suggests developing an AI-powered platform to help mitigate these challenges and empower farmers with actionable insights. The platform will leverage advanced machine learning algorithms to predict and identify crop diseases early, enabling timely interventions and minimizing potential losses. Through image-based disease detection, farmers affected crops, receiving instant feedback and recommendations for treatment.