Please use this identifier to cite or link to this item: http://hdl.handle.net/123456789/9738
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dc.contributor.authorM.Z. Ayob-
dc.contributor.authorA.H. Abdul Rahman-
dc.contributor.authorM.K. Abdul Kadir-
dc.contributor.authorM.D. Hassim N.H.I. Hashim-
dc.contributor.authorN.S. Sahlan-
dc.contributor.authorUniKL BMI-
dc.date.accessioned2015-03-31T04:15:16Z-
dc.date.available2015-03-31T04:15:16Z-
dc.date.issued2015-03-31-
dc.identifier.uri10.1109/ICE2T.2014.7006257-
dc.identifier.urihttp://localhost/xmlui/handle/123456789/9738-
dc.descriptionUniKL BMIen_US
dc.description.abstractElectronics Technology Section Universiti Kuala Lumpur, Malaysia Kuala Selangor, Malaysia email: mohdzaki@unikl.edu.my email: mdesa@doa.gov.my Abstract— This paper describes a pioneering research work in Malaysia to remotely detect brown plant hopper (BPH) using color images. The automation process involves image processing, with an aim to automatically examine, sort and count the number of BPH. The results contribute to additional field data based on remote implementation of electronic systems, where the BPH is threatening paddy yield.en_US
dc.language.isoenen_US
dc.subjectbrown plant hopperen_US
dc.subjectcomputer based identificationen_US
dc.subjectimage processingen_US
dc.subjectmorphologyen_US
dc.titlePrototype Development of Brown Planthopper (BPH) Detector and Data Loggeren_US
dc.typeWorking Paperen_US
dc.conference.nameInternational Conference on Engineering Technology and Technopreneurship (ICE2T 2014)en_US
dc.conference.year2014en_US
Appears in Collections:Conference Paper



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