Leaf Disease Detection using Machine Learning Algorithms

Abstract

Plant diseases are mostly affecting leaves. In most of the cases, manual disease identification method fails to identify the disease correctly due to the similar symptoms of various diseases. People lack sufficient knowledge of plant diseases. The inability to detect the plant disease leads to crop production loss. Moreover, farmers have suffered significant losses as a result of a lack of sufficient understanding and direction to address the issue. This necessitates the need to develop a novel technology to detect the plant diseases. This study has attempted to develop an effective plant disease detection model using Convolutional Neural Networks (CNN). The proposed model has the ability to detect multiple diseases that occur in a single plant species. The results show the efficiency of the proposed model.