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Feasibility study on plant chili disease detection using image processing techniques

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Main Authors: Zulkifli, Husin, Ali Yeon, Md Shakaff, Prof. Dr., Abdul Halis, Abdul Aziz, Rohani, S. Mohamed Farook
Other Authors: zulhusin@unimap.edu.my
Format: Working Paper
Language:English
Published: Institute of Electrical and Electronics Engineers (IEEE) 2013
Subjects:
Chili disease
Image processing
Leaf image
Online Access:http://dspace.unimap.edu.my/xmlui/handle/123456789/26578
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id my.unimap-26578
record_format dspace
spelling my.unimap-265782013-07-11T06:00:24Z Feasibility study on plant chili disease detection using image processing techniques Zulkifli, Husin Ali Yeon, Md Shakaff, Prof. Dr. Abdul Halis, Abdul Aziz Rohani, S. Mohamed Farook zulhusin@unimap.edu.my Chili disease Image processing Leaf image Link to publisher's homepage at http://ieeexplore.ieee.org/ Producing chili is a daunting task as the plant is exposed to the attacks from various micro-organisms and bacterial diseases and pests. The symptoms of the attacks are usually distinguished through the leaves, stems or fruit inspection. This paper discusses the effective way used in performing early detection of chili disease through leaf features inspection. Leaf image is captured and processed to determine the health status of each plant. Currently the chemicals are applied to the plants periodically without considering the requirement of each plant. This technique will ensure that the chemicals only applied when the plants are detected to be effected with the diseases. The image processing techniques are used to perform hundreds of chili disease images. The plant chili disease detection through leaf image and data processing techniques is very useful and inexpensive system especially for assisting farmers in monitoring the big plantation area. 2013-07-11T06:00:23Z 2013-07-11T06:00:23Z 2012-02 Working Paper p. 291-296 978-076954668-1 http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6169716 http://hdl.handle.net/123456789/26578 en Proceedings the 3rd International Conference on Intelligent Systems Modelling and Simulation (ISMS) 2012 Institute of Electrical and Electronics Engineers (IEEE)
institution Universiti Malaysia Perlis
building UniMAP Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Perlis
content_source UniMAP Library Digital Repository
url_provider http://dspace.unimap.edu.my/
language English
topic Chili disease
Image processing
Leaf image
spellingShingle Chili disease
Image processing
Leaf image
Zulkifli, Husin
Ali Yeon, Md Shakaff, Prof. Dr.
Abdul Halis, Abdul Aziz
Rohani, S. Mohamed Farook
Feasibility study on plant chili disease detection using image processing techniques
description Link to publisher's homepage at http://ieeexplore.ieee.org/
author2 zulhusin@unimap.edu.my
author_facet zulhusin@unimap.edu.my
Zulkifli, Husin
Ali Yeon, Md Shakaff, Prof. Dr.
Abdul Halis, Abdul Aziz
Rohani, S. Mohamed Farook
format Working Paper
author Zulkifli, Husin
Ali Yeon, Md Shakaff, Prof. Dr.
Abdul Halis, Abdul Aziz
Rohani, S. Mohamed Farook
author_sort Zulkifli, Husin
title Feasibility study on plant chili disease detection using image processing techniques
title_short Feasibility study on plant chili disease detection using image processing techniques
title_full Feasibility study on plant chili disease detection using image processing techniques
title_fullStr Feasibility study on plant chili disease detection using image processing techniques
title_full_unstemmed Feasibility study on plant chili disease detection using image processing techniques
title_sort feasibility study on plant chili disease detection using image processing techniques
publisher Institute of Electrical and Electronics Engineers (IEEE)
publishDate 2013
url http://dspace.unimap.edu.my/xmlui/handle/123456789/26578
_version_ 1643794992153493504
score 13.214268

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