Abstract:

Agricultural merchandise are the number one need for every us of a. If plant life is infected via sicknesses, this impacts the use of this agricultural production and its financial sources. This paper affords a system that is used to classify and come across plant leaf diseases using deep gaining knowledge of strategies. The used images were received from (Plant Village dataset) internet site. In our work, we've got taken specific kinds of plant life; consist of tomatoes, pepper, and potatoes, as they are the maximum common sorts of flora in the international and in Iraq in particular. These statistics Set contains 20636 photos of plants and their sicknesses. In our proposed machine, we used the convolutional neural community (CNN), via which plant leaf sicknesses are labeled, 15 classes had been classified, which includes 12 training for illnesses of various flowers that were detected, inclusive of microorganism, fungi, etc., and three classes for wholesome leaves. As a end result, we acquired first rate accuracy in training and testing, we have got an accuracy of (98.29%) for schooling, and (ninety eight.029%) for checking out for all information set that have been used

Description:

Plant leaf disease, Deep Learning, CNN algorithm