EventsMOL2NET'21, Conference on Molecular, Biomed., Comput. & Network Science and Engineering, 7th ed.
Published
This submission belongs to the session 07. NICE.XSM-07: North-Ibero-America Congress on Exp. & Simul. Methods, Valencia, Spain-Miami, USA, 2021 of the event MOL2NET'21, Conference on Molecular, Biomed., Comput. & Network Science and Engineering, 7th ed.
Published date
17 Aug, 2021
Academic Editor
author-avatarHumbert G. Díaz
Citation
Dr G Manjula, Coconut Tree Disease Identification Using Image Processing -To Set A New Trend In Agriculture, in Proceedings of MOL2NET'21, Conference on Molecular, Biomed., Comput. & Network Science and Engineering, 7th ed., 25 January–30 December 2021, MDPI: Basel, Switzerland, doi: 10.3390/mol2net-07-10774
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Coconut Tree Disease Identification Using Image Processing -To Set A New Trend In Agriculture

1. Dayananda Sagar Academy of Technology and Management
2. DSATM,Bengaluru
Abstract

The proposed System helps in identification of coconut tree disease and provide the remedies that can be used as a protective mechanism against the disease it is the major objective of the project, in which it focuses on increasing the quality of the product and yield. It is difficult for a farmer to monitor the coconut tree disease manually which may consume a lot of time. The symptoms can be found on leaf, stem, fruits and lesions of a tree. The proposed system provides the usage of mobile phones to capture the image of the affected parts of a tree, and then it will be verified by the expertise and the result will be sent to the farmer and the also the remedy that can be taken as a cure.

Keywords
Image processing
Disease identification
RGB Color Model
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