Multiple Crop Diseases Detection and Diagnosis Using AI

Abstract

This project presents a mobile application leveraging artificial intelligence (AI) for efficient crop disease detection and diagnosis. Traditional methods for identifying crop diseases are often slow, require specialized knowledge, and may not be accessible to all farmers. This application provides a fast, user-friendly solution, enabling farmers to diagnose diseases with high accuracy. By analyzing image data, the app employs advanced AI algorithms to compare results with a comprehensive disease database, identifying potential diseases and offering tailored management recommendations. This tool empowers farmers to make informed decisions, adopt sustainable practices, and optimize crop productivity. Collaboration with agricultural and AI experts is integral to refining the AI model and ensuring its accuracy across diverse farming environments. The mobile application aims to enhance food security and promote sustainable agricultural development, addressing critical challenges in modern agriculture