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dc.contributor.authorAzamuddin, Daud
dc.date.accessioned2016-05-29T06:17:38Z
dc.date.available2016-05-29T06:17:38Z
dc.date.issued2015-06
dc.identifier.urihttp://dspace.unimap.edu.my:80/xmlui/handle/123456789/41729
dc.descriptionAccess is limited to UniMAP community.en_US
dc.description.abstractPlant disease early detection is very important in the world of agriculture to reduce wastage in country. Disease surveillance by using naked eye previously is very limited and also might be some negligence in job. This project will be used to detect plant disease by using technique process image that have in take by farm worker itself. HSV Technique (Hue, Saturation, and Value) will be used to compare leaf color that is good and also leaf that is damaged. Matlab software will be used to carrying out this system. Area and leaf damage itself will be determined by system after the image is completed processed. This project only to give focus to the plant damage factor. Leaf position hit sunlight surplus and also leaf that is overlap cause sometimes decision accepted inaccurate. As the result from this project, 85% samples that was tested show positive result. This study has been carried out use the accurate technique that has been chosen, all study final decision was gathered in fixed place.en_US
dc.language.isoenen_US
dc.publisherUniversiti Malaysia Perlis (UniMAP)en_US
dc.subjectPlant diseaseen_US
dc.subjectDisease surveillanceen_US
dc.subjectDiseaseen_US
dc.subjectDetection systemen_US
dc.subjectAgricultureen_US
dc.titleDevelopment of plant diease detection systemen_US
dc.typeLearning Objecten_US
dc.publisher.departmentSchool of Computer and Communication Engineeringen_US


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