Crowd Sourcing of Diseases and Pest Information

This paper explores the design and implementation of a crowd-sourcing mobile application that would help farmers identify and solve crop diseases and pest problems. The application allows farmers to report issues by uploading images of affected crops, which are then reviewed by agricultural experts who provide tailored solutions. The app also allows for the creation and sharing of articles related to crop management, seasonal planting, and disease predictions. The admins manage the approval of expert accounts and oversee the publication of articles. This paper describes the architecture, implementation, and evaluation of the application’s impact on agricultural problem-solving and knowledge dissemination. The study has integrated user-friendly features, expert validation, and scalable technology for improving agricultural productivity. It also discusses existing research and how this solution builds on these efforts.