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.