Feasibility study on plant chili disease detection using image processing techniques
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| Language: | English |
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Institute of Electrical and Electronics Engineers (IEEE)
2013
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| Online Access: | http://dspace.unimap.edu.my/xmlui/handle/123456789/26578 |
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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) |
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Universiti Malaysia Perlis |
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Malaysia |
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Universiti Malaysia Perlis |
| content_source |
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http://dspace.unimap.edu.my/ |
| language |
English |
| topic |
Chili disease Image processing Leaf image |
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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 |