Rose Leaf Diseases Detection

Abstract

As Bangladesh is fully dependent on agriculture so identifying the diseases of the plants will aid the farmers for better productivity. This paper elucidates the recognition of rose leaf disease which is based on deep learning algorithms. By using deep learning algorithms, the defected images of leaves can be identified precisely which may further help the farmer to identify the leaf disease accurately and then they will immediately take precaution according the disease. In this paper, first we have collected the images from the nursery and labelled each disease after preprocess them in such a way that it is fitted to the particular model that we used. Later, we have modified and implemented CNN model compatible to our dataset to get better outcome. By doing so, we can identify the diseased leaves 96% accurately.