DEEP LEARNING TECHNIQUES FOR DETERMINING THE POTATO PLANT LEAF DISEASE

Abstract

Plant diseases have an effect on plant's growth, thus it's important to look for patterns on the leaf that might help in early disease detection. For agriculture to remain profitable, disease identification of any plant hazards has become extremely important. Food insecurity might increase if it is not detected at an early stage. Diseases of plants are harmful to agricultural production. Early identification of plant diseases allows for the prevention of yield loss and the total amount of agricultural crops. Essentially, plant disease studies are challenging to identify, monitor, and derive conclusions manually because the costs emerging in the process demand a large amount of work done, energy, expertise, and, last but not least, processing time.