Wheat disease detection using image processing

The most important factor in reduction of quality and quantity of crop is due to plant disease. Identifying plant disease is a key to prevent agricultural losses. The aim of this paper is to develop a software solution which automatically detect and classify plant disease. It includes four steps, fi...

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Bibliographic Details
Published in2017 1st International Conference on Intelligent Systems and Information Management (ICISIM) pp. 110 - 112
Main Authors Gaikwad, Varsha P., Musande, Vijaya
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.10.2017
Subjects
acquisition
Diseases
Feature extraction
Histograms
Image color analysis
Image segmentation
neural network classifier
Neural networks
plant disease
preprocessing
segmentation
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Summary:The most important factor in reduction of quality and quantity of crop is due to plant disease. Identifying plant disease is a key to prevent agricultural losses. The aim of this paper is to develop a software solution which automatically detect and classify plant disease. It includes four steps, first step image acquisition, second step is image preprocessing, third step is image segmentation and fourth step is feature extraction which consider color, shape and size. For classification we used here Neural Network based classifier.
DOI:10.1109/ICISIM.2017.8122158