The capitalized title is Plant Leaf Disease Identification Using Image Processing and SVM, ANN Classifier Methods

EasyChair Preprint 2256

Abstract

Agricultural yield is something on which economy extremely depends. This is the reasons that disease detection in plants plays significant roles in agriculture field, as having disease in plants are quite usual. The identification of disease on the plant is a very essential key to avoid a heavy loss of harvest and the quantity of agricultural product. The signs can be detected on the parts of the plants such as stems, leaf, lesions and fruits. The leaf shows the symptoms by varying, showing the spots on it. This identification of the disease is done by manual statement and pathogen detection which can consume extra time and may prove expensive. The steps necessary in the process are Preprocessing, Training and Identification. Computers have been used for systematization and mechanization in different applications of agriculture/horticulture is done with the development of expert system (decision support system) using computer vision methods. The color and texture topographies have been used in order to work with the trial images of plant diseases. Algorithms for extraction of color and texture features have been established, which are in chance used to train support vector machine (SVM) and artificial neural network (ANN) classifiers.  This paper is mainly developed to identify and calculate the correctness of pest infected area in leaf images. The image segmentation procedure is used to perceive the presence of pests in leaf images. The presentation of the clustering based image segmentation algorithm depends on its overview of images.

Keyphrases: Artificial Neural Network, Segmentation, Support Vector Machine, feature extraction, image processing

@booklet{EasyChair:2256,
  author    = {S. Sivasakthi},
  title     = {The capitalized title is Plant Leaf Disease Identification Using Image Processing and SVM, ANN Classifier Methods},
  howpublished = {EasyChair Preprint 2256},
  year      = {EasyChair, 2019}}