Identification of Maize Plant Leaf Disease Detection using ConvNet Model

Abstract

Agriculture is one of the most crucial determinants of a country's development. Agriculture employs more than 60% of the population in India. Plant disease is a persistent problem for smallholder farmers, posing a threat to income and food security as the seasons change. These diseases attack the leaves of the plant initially, then infect the entire plant, reducing the quality and quantity of the crop produced. It is impossible for a human to recognize and diagnose each plant's status due to a large number of plants on the farm. Because these ailments are contagious, it's vital to identify each plant. The deep convolutional Neural Network model's accuracy results in disease identification revealed that it is promising and can have a major impact on disease identification efficiency.