Feasibility Study on Plant Chili Disease Detection Using Image Processing Techniques

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 earl...

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Vydáno v:2012 Third International Conference on Intelligent Systems Modelling and Simulation s. 291 - 296
Hlavní autoři: Husin, Zulkifli Bin, Shakaff, Ali Yeon Bin Md, Aziz, Abdul Hallis Bin Abdul, Farook, Rohani Binti S. Mohamed
Médium: Konferenční příspěvek
Jazyk:angličtina
Vydáno: IEEE 01.02.2012
Témata:
Chili disease
Diseases
Educational institutions
Feature extraction
Image color analysis
image processing
Inspection
leaf image
Neural networks
ISBN:1467308862, 9781467308861
ISSN:2166-0662
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Shrnutí: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.
ISBN:1467308862
9781467308861
ISSN:2166-0662
DOI:10.1109/ISMS.2012.33