Kheti Badi: AI-Powered Crop Disease Detection and Smart Treatment Advisory
Arric Sekhon
Department of Computer Science
Faculty Supervisor: Sara El Alaoui
Kheti Badi is a mobile application designed to help farmers in Punjab make smarter and more informed crop care decisions. While many farmers can identify plant diseases through experience, selecting the right fertilizer or pesticide for effective treatment remains a major challenge. This often leads to wasted resources, soil degradation, and reliance on uncertain advice.
With Kheti Badi, farmers simply capture a photo of the affected crop. The AI-powered system analyzes the image using an on-device TensorFlow Lite model to accurately identify the disease and recommend suitable treatment options, including both chemical and organic solutions. All recommendations follow the latest guidelines from Punjab Agricultural University (PAU) and the Indian Council of Agricultural Research (ICAR), ensuring scientific reliability and safety.
The app operates primarily offline, making it accessible in rural areas with limited connectivity. Weather data, including temperature, humidity, and rainfall forecasts, is periodically updated when internet access is available and cached for offline use. Built in Flutter for iOS and Android, and supporting English and Punjabi (Gurmukhi), Kheti Badi empowers farmers with practical, localized, and sustainable agricultural guidance.