Classification of plant disease pdf

2.1 Plant Disease Classification using Deep Learning Numerous Deep learning (DL) architectures together with visualization techniques have been used for the classification of plant diseases over the years. Improvements have been made in this field by the evolution of state-of the-art DL models, especially using CNNs. I. INTRODUCTION Plant viruses are widespread and economi- cally important plant pathogens. Virtually all plants that humans grow for food, feed, and fiber are affected by at least one virus. It is the viruses of cultivated crops that have been most studied because of the financial implications of the losses they incur. importance, scope and causes of plant diseases 4-7 2. history of plant pathology (early developments and role of fungi in plant diseases) 8-11 3. history of plant pathology (role of other plant pathogens) 12-16 4. general concepts and classification of plant diseases 17-20 5. symptoms and signs of plant diseases 21-25 6. Plant disease classification involves the steps like Load image, pre-processing, segmentation, feature extraction, svmClassifer Keywords:RGB Image, Segmentation, Pre-processing, SVM classifier. I. INTRODUCTION India is a cultivated country and about 80% of the population depends upon on agriculture. that most of the diseases in plants originate from pathogens i.e. bacteria, fungi, virus etc. [3]. So this paper reviews the research work done in this field in terms of plant disease detection and classification (caused by pathogens only) using different image processing techniques that recognize the crop We have developed a convolutional neural network for 14 plants containing 38 diseases (including healthy) in which 200 images have taken per class among the plant village dataset of 44,016 images. This study automatically detected various plant leaf diseases with an average classification accuracy of 99.89 percentages. 13]. After that the disease spot regions were segmented by using Sobel operator to detect the disease spot edges. Finally, plant diseases are graded by calculating the quotient of disease spot and leaf areas. Studies show that Machine learning methods can successfully be applied as an efficacious disease detection mechanism. Plant disease can be defined as the sum total of abnormal changes in the physiological processes brought about by any biotic or abiotic factor (s) or by a virus that ultimately threatens the normal growth and reproduction of a plant. Or, Plant disease is a pathological malfunctioning process of the plant body due to continuous irritation which A Comprehensive Review of Plant Disease Diagnosis and Classification Models: A Deep Learning Perspective Mr. Satrughan Kumar Singh Assistant Professor, Methodist College of Engineering & Technology, Abids, Hyderabad - Telangana ABSTRACT In recent years, automatic identification of disease by plant images is a highly crucial and major problem for The following are the steps for plant leaf disease detection and classification using image processing: Figure 1: Block diagram of basic steps for plant disease detection and identification Image acquisition Image acquisition involves capturing the images with the help of digital camera. Our study focussed on the diseased be rated, and for disease management decisions, for example, applying pesticides to control disease epidemics, but also for understanding fundamental processes in biology, including co-evolution and