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http://dspace.unimap.edu.my:80/xmlui/handle/123456789/26578
Title: | Feasibility study on plant chili disease detection using image processing techniques |
Authors: | Zulkifli, Husin Ali Yeon, Md Shakaff, Prof. Dr. Abdul Halis, Abdul Aziz Rohani, S. Mohamed Farook zulhusin@unimap.edu.my |
Keywords: | Chili disease Image processing Leaf image |
Issue Date: | Feb-2012 |
Publisher: | Institute of Electrical and Electronics Engineers (IEEE) |
Citation: | p. 291-296 |
Series/Report no.: | Proceedings the 3rd International Conference on Intelligent Systems Modelling and Simulation (ISMS) 2012 |
Abstract: | 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. |
Description: | Link to publisher's homepage at http://ieeexplore.ieee.org/ |
URI: | http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6169716 http://dspace.unimap.edu.my/123456789/26578 |
ISBN: | 978-076954668-1 |
Appears in Collections: | Ali Yeon Md Shakaff, Dato' Prof. Dr. Conference Papers |
Files in This Item:
File | Description | Size | Format | |
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Feasibility study on plant chili disease detection using image processing techniques.pdf | 26.18 kB | Adobe PDF | View/Open |
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