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SINGARAVELAN, S. and ARUN, R. and MURUGAN, D. (2021) DISEASES DETECTION AND CLASSIFICATION OF AFFECTED PART OF PLANT LEAVES. Journal of Global Agriculture and Ecology, 11 (1). pp. 35-40.

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Abstract

Plant pathology is the scientific study of plant diseases caused by pathogens and environmental conditions. It includes pathogen identification, diseases cycles, economic impact, management of plant diseases, etc. In existing, to detect the diseases they used the spectroscopic techniques. These techniques are very expensive and can only be utilized by trained persons only. To overcome these problem, the detection of diseases which are detected using ELM (Extreme Learning Machine) technique. First the sample leaf image is given as input. Then, color channels are separated from the leaf image from these the green pixels are masked from the original image. The masking is done to avoid the processing of the green area of the leaves, since, it is healthy. By removing the green area from the original area the remaining infected area is calculated. Then the features are extracted from the affected area. Finally these features are given to the ELM to classify the disease. After finding the disease the solution for that disease is send to the corresponding user mobile using GSM device.

Item Type: Article
Subjects: GO for ARCHIVE > Biological Science
Depositing User: Unnamed user with email support@goforarchive.com
Date Deposited: 20 Nov 2023 05:05
Last Modified: 20 Nov 2023 05:05
URI: http://eprints.go4mailburst.com/id/eprint/1754

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