An Automated System to Detect Plant Disease using Deep Learning

Abstract

Crop diseases, particularly in places with weak infrastructure, represent a severe danger to the security of the global food supply. To address this challenge, a platform for accurate identification of plant diseases is needed. The paper proposes deep learning techniques to identify plant diseases. The platform uses the “CNN” algorithm, widely known for its high accuracy in image classification, enabling it to accurately identify plant diseases from images. Furthermore, the platform offers automated suggestions for preventing and provide supplements for that disease and managing the spread of crop diseases using its user-friendly web interface.