Location Based Plant Suitability Checker and Disease Detection

Agriculture is one of the primary concerns to food security at global level, but new farmers or farmers till around or year old have a rough time figuring out what to grow and how to do plant disease management. Lack of a soil’s formulation, climate (for example temperature, growing season length or rainfall) that actually matter to their crops, and plants they will work together is likely going to lead a crop failure or loss on crops. A major concern among farmers is also the detection of the crop disease and its treatments that are to be made/reduced. Most farmers fail on the clear understanding what diagnoses and treatments shall be the best for their crop to tackle these challenges, this paper outlines a Location-Based Plant Suitability Checker and Crop Disease Detection system employing Machine Learning (ML) and next-generation data analytics. This system gives farmers with turn the recommendations based on real-time factors like soil type, temperature and rainfall patterns which will result in deciding right crop at a location. The module also employs AI, helps farmers detect crops diseases and provide them with the right suggestions regarding treatments as well preventive measures. By integrating modern or cutting-edge technology with agricultural expertise, this solution gives new and experienced farmers to the new world, improved decision-making, improving yield quality, and increase the profit from crops also provide a new life style. The ultimate goal is to empowering the farmers with modern solutions for modern problems, making agriculture more sustainable and efficient at this moder world, along with this we provide new career for the young ones