An Innovative AI-Driven & Cloud Based Platform for Farmers: Enabling Plant Diseases Identification, Tracking, and Forecasting

Plant conditions are a major trouble to growers, consumers, terrain and the global frugality. In India alone, 35 of field crops are lost to pathogens and pests causing losses to growers. Indiscriminate use of fungicides is also a serious health concern as numerous are poisonous and biomagnified. These adverse goods can be avoided by early complaint discovery, crop surveillance and targeted treatments. Utmost conditions are diagnosed by agrarian experts by examining external symptoms. Still, growers have limited access to experts. Our design is the first integrated and cooperative platform for automated complaint opinion, shadowing and soothsaying. Growers can incontinently and directly identify conditions and get results with a mobile app by shooting affected factory corridor. Real- time opinion is enabled using the rearmost Artificial Intelligence (AI) algorithms for pall- grounded image processing. The AI model continuously learns from stoner uploaded images and expert suggestions to enhance its delicacy. Growers can also interact with original experts through the platform. For preventative measures, complaint viscosity maps with spread soothsaying are rendered from a Cloud grounded depository of geo- tagged images and micro-climactic factors. A web interface allows experts to perform complaint analytics with geographical visualizations. In our trials, the AI model (CNN) was trained with large complaint datasets, created with factory images tone-collected from numerous granges over 7 months. Test images were diagnosed using the automated CNN model and the results were validated by factory pathologists. Over 95 complaint identification delicacy was achieved. Our result is a novel, scalable and accessible tool for complaint operation of different agrarian crop shops and can be stationed as a pall grounded service for growers and experts for ecologically sustainable crop product.