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Feature Optimization of Whitefly Detection Algorithm using Image Segmentation and Feature Analysis
| Communications on Applied Electronics |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 7 - Number 3 |
| Year of Publication: 2017 |
| Authors: Honse-Al-Walid, Md. Tanjim-Al-Akib, Nusratul Islam |
10.5120/cae2017652610
|
Honse-Al-Walid, Md. Tanjim-Al-Akib, Nusratul Islam . Feature Optimization of Whitefly Detection Algorithm using Image Segmentation and Feature Analysis. Communications on Applied Electronics. 7, 3 ( Jun 2017), 6-13. DOI=10.5120/cae2017652610
Abstract
With the increase of agricultural production worldwide, the economic importance of early detection of crop pests is more evident than ever before. The purpose of this study is to improve the performance of crop pest detection algorithm using image processing techniques. This study combines the object extraction, feature extraction and classification of a particular crop pest species using the SVM classifier. The end point of this study is to achieve optimal performance and accuracy.
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