Computer Vision Based Detection And Classification of Tomato Leaf Diseases

Abstract

Indian Economy mainly determined by the agriculture. Tomato is one of the highest used food crops in India. Due to which detection of disease on tomato plant becomes essential. The manual detection of plant diseases are very complex and high cost. Hence, image processing based detection of plant diseases gives the solution. Disease detection involves the steps like image capturing , various processing steps and classification. Most of the diseases of tomato plant detected at initial stages as they affect leaves first. By detecting the diseases at initial stage on leaves will surely avoid impending loss. The classifier, the classification is performed to classify the healthy and disease affected tomato leaves. Finally, the performance of K-nearest neighbor (KNN) and multi class Support Vector machine (SVM) are compared. The proposed system assured an excellent performance to farmers and researchers in admissible way.

Diagnosis of Leaf Surface Disease Using Two Datasets of Tomato and Rice Obtained from Image Processing Techniques

“…In this section, the proposed method is compared with other methods. The accuracy of the proposed method using data sets of rice has been compared with CNN methods [13], Decision Tree-based Machine Learning Algorithms [14] and improved random forest [15], Detection and Classification of Rice Plant Diseases [26], Deep Neural Network Algorithm [27], An Approach Using Textural Features [28], and tomato data set has been compared with Computer Vision Based Detection and Classification [16], Automatic Tomato Plant Leaf Disease and pests [17], Deep Neural Network-Based Tomato Plant Diseases [18],Tomato plant disease classification methods in digital images [29], Automatic Tomato Plant Leaf Disease [30].…”