Identification of Medicinal Plant's and Their Usage by Using Deep Learning

Nowadays, most of the peoples are not aware of their rural and urban medicinal plants and their uses. If we want to find the plant details for their medicinal values, we have to be exposed to it previously. However, some people will find it to be a tedious process since they are not aware of these plants before. Moreover, at some times, we have to depend on others for the identification of medicinal plants. (i.e.) Botanist, Peoples who aware of it. So in order to avoid all these kinds of situations and with the availability of modern computing devices and technology we had built a model (Deep Neural Networks) for the identification of medicinal plants. To train the model we used around 8,000 images belonging to four different classes. Finally, we arrived with good accuracy of 85% when testing with images taken from the open field land areas.