Agricultural productivity is something on which economy highly depends. This is one of the reasons that disease detection in plants plays an important role in agriculture field, as having diseasing plants are quite natural. Crop diseases are a major threat to food security and rapid identification of these diseases remains difficult in many parts of the world due to the lack of the necessary infrastructure. There are some cases where farmers lost their crops due to sudden weather changes and using wrong fertilizers and growing unseasonal plants. With the increasing of global smart-phone and advancements in computer vision and deep learning made possible for the farmers to overcome the above problems. So we made a farmer assistance web application where the farmer or user can detect the disease of a plant by uploading the infected leaf image and he/she can get the description and suggestions of the disease in English and selected local language, user can predict next day weather conditions in his place based on past 3 months weather data, Question Answering Platform where farmers can post questions/doubts regarding farming and people with agriculture background can answer them. By this application, the above mentioned problems can be minimized. Along with these, we also incorporated market price platform where any user can access it and check the vegetable prices in his place. We used deep learning, machine learning, and web scrapping techniques to develop this application.
₹10000 (INR)
NON IEEE-2022