Cotton Plant Diseases Detection Using IP and ML

Agriculture plays a vital role in India's economy, supporting a large population, especially small and marginal farmers in Maharashtra who depend heavily on cotton cultivation for their livelihood. Cotton, a major commercial crop, significantly contributes to global textile production but is highly vulnerable to diseases caused by pests, viruses, and environmental factors. These challenges often lead to severe economic losses for poor farmers. This book presents an intelligent and systematic framework for cotton disease detection using image processing and machine learning techniques. The proposed system enables early diagnosis, targeted treatment, and reduced pesticide usage, promoting sustainable farming. It also incorporates explainable AI and environmental data to improve accuracy. This work reflects the authors' dedicated efforts to provide practical, technology-driven solutions for enhancing productivity and supporting vulnerable farming communities.