Published Paper Details:

India's economy relies heavily on agriculture, with approximately 58 percent of the rural population being employed within this sector. Despite these figures, small and marginal farmer's have difficulty obtaining timely agricultural advice regarding disease diagnosis, weather-based recommendations, market prices, and government schemes. This paper introduces a Smart Crop Advisory System called "KrishiSahayak" (Krishi Mitra) that aims to provide a comprehensive and integrated resource for small and marginal farmers. The KrishiSahayak (Krishi Mitra) Smart Crop Advisory System leverages AI, ML, Cloud Computing, and Mobile Technologies to create an integrated platform for crop disease detection, hyper-local weather-based recommendations, Mandi price updates in real-time, and government scheme information. The system also provides multiple channels of access (Flutter mobile app, SMS, IVR, AI chatbots) to allow farmers of different levels of digital literacy to access the information they need. The system was built using a cloud native architecture with the help of Django, TensorFlow/PyTorch, and Rasa to promote high levels of scalability and reliability. Based on our experimental simulations, we believe AI-based Advisory Systems have the potential to reduce crop losses due to disease by 15-25 percent, enable farmers to utilize renewable resources more effectively, and increase farmer income through access to improved market awareness.