Detection of plant leaf disease in early stage is a very needy task in the field of agriculture because it helps to reduce the crop loss rate and increases the production of food. The purpose is to ...

This dataset consists of 87,900 images of leaves spanning 38 classes. Each class denotes a combination of the plant the leaf is from and the disease (or lack thereof) present in the leaf. All images ...

There have been various studies and research done on detecting plant disease. This work is intended to identify the plant disease using Deep Learning which can be used as a defense mechanism against ...

Hence, recognizing this disease is vital to farmers. We developed a deep convolutional neural network (DCNN)-based method to assess cherry tree health using leaf images. We constructed the DCNN model ...