Plant diseases are responsible for the significant economic losses in agricultural industry worldwide. There are various types of disease present on leaves such as bacterial, fungal, viral etc. In this project concepts of deep learning are used. Deep learning provides an opportunity for detectors to recognize crop diseases in a timely and accurate manner, which will not only upgrade the accuracy of plant protection. Convolutional neural network (CNN) model will used to perform plant disease detection and diagnosis using healthy and diseased plants leaves, through deep learning methods. It detects the plant disease from the picture of the plant leaf. The AI system will detect the disease form the image and send back the diseasename and diagnosis to user.
Supervisor: Dr. Madah ul Mustafa
Group Members:
Raghib Raza
Taha Siddique