A novel framework for potato leaf disease detection using an efficient deep learning model

Potato disease management plays a valuable role in the agriculture field as it might cause a significant loss in crops production. Therefore, timely recognition and classification of potato leaves diseases are necessary to minimize the loss, however, it is time taking task and requires human efforts. Thus, an accurate automated technique for timely detection and classification is needed to cope with the aforementioned challenges.There exist techniques grounded on machine learning and deep learning procedures that use the existing dataset i.e., ‘The Plant Village Dataset’ and perform classification into only two classes in potato leaves. Therefore, this article proposes a technique based on an improved deep…