Volume 3 Number 3 (May 2014)
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IJCCE 2014 Vol.3(3): 189-192 ISSN: 2010-3743
DOI: 10.7763/IJCCE.2014.V3.317

Pest Detection and Extraction Using Image Processing Techniques

Johnny L. Miranda, Bobby D. Gerardo, and Bartolome T. Tanguilig III
Abstract—Detection of pests in the paddy fields is a major challenge in the field of agriculture, therefore effective measures should be developed to fight the infestation while minimizing the use of pesticides. The techniques of image analysis are extensively applied to agricultural science, and it provides maximum protection to crops, which can ultimately lead to better crop management and production. Monitoring of pests infestation relies on manpower, however automatic monitoring has been advancing in order to minimize human efforts and errors. This study extends the implementation of different image processing techniques to detect and extract insect pests by establishing an automated detection and extraction system for estimating pest densities in paddy fields. Experiment results shows that the proposed system provides a simple, efficient and fast solution in detecting pests in the rice fields.

Index Terms—Automated pests management, image analysis object detection, object extraction.

Johnny Miranda is with the College of Resource Engineering and Agricultural Mechanization, Pampanga State Agricultural University, Magalang, Pampanga, Philippines (e-mail: john_miranda9@yahoo.com).
Bobby D. Gerardo is with the Institute of Information and Communications Technology, West Visayas State University, Lapaz, Iloilo City, Philippines (e-mail: bgerardo@wvsu.edu.ph).
Bartolome T. Tanguilig III is with the College of Information Technology Education, Technological Institute of the Philippines, Quezon City, Philippines (e-mail: bttanguilig_3@yahoo.com).

Cite:Johnny L. Miranda, Bobby D. Gerardo, and Bartolome T. Tanguilig III, "Pest Detection and Extraction Using Image Processing Techniques," International Journal of Computer and Communication Engineering vol. 3, no. 3, pp. 189-192, 2014.

General Information

ISSN: 2010-3743 (Online)
Abbreviated Title: Int. J. Comput. Commun. Eng.
Frequency: Quarterly
Editor-in-Chief: Dr. Maode Ma
Abstracting/ Indexing: INSPEC, CNKI, Google Scholar, Crossref, EBSCO, ProQuest, and Electronic Journals Library
E-mail: ijcce@iap.org
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