A mobile application that can provide farmers with various useful information and facilities. The application is written in flutter which makes it cross platform and the server is based on a flask, a python based framework.
The main feature of the application would be disease recognition through images. The user can simply take a picture of the afflicted crop and the application will determine which disease it is and suggest suitable methods. The image search is done using a Content Based Image Retrieval (CBIR) system written in python. This essentially forms the most important aspect of the application, enabling farmers to retrieve information through the universal medium of images.
Other features include a compendium listing out various diseases and pests and the best methods to counteract them. Another compendium have detailed analysis on crop rotation. It also shows weather reports, alerting of severe conditions, so that necessary steps can be taken. It will also contain a local news section, which reports on agricultural policies, signs of pests / disease, insights into the price of various crops.