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Classification of plant health (capsicum frutescens) normalize differences vegetation index using image processing

Nurin Awanis, Mohd Rudin and Suhaimi, Puteh and Jessnor Arif, Mat Jizat and Ismail, Mohd Khairuddin and Anwar P. P., Abdul Majeed and Mohd Azraai, Mohd Razman (2021) Classification of plant health (capsicum frutescens) normalize differences vegetation index using image processing. Mekatronika - Journal of Intelligent Manufacturing & Mechatronics, 3 (1). pp. 89-96. ISSN 2637-0883

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The evolution of food manufacturer in global contribute in national income of the country. Agriculture has been a part of everyone’s life which result in providing food become the building block of every human being. Malaysia is only country experiencing deteriorating development contribute (25.9%) agriculture in Gross Deficient Domestics Product (GDP) while others are fishing (12%), rubber (3.0%) and forestry & logging (6.3%), livestock (15.3%). In line with the development of technology in present century, a lot of methods and technique introduced to upgrowth agriculture sector by focusing to the plant health. The aims of this study are to classify of agriculture plant health through NDVI using image processing. Image processing is a technique representing operations and observation on an image. The images of plant will be captured in this investigation to obtain a photo without (Infra-Red) IR imaging filter. Some of steps must be perform which also include of using multi-function software to gain NDVI values of plant. The main objective in this study is to classify plant health by performing the vegetation index of plant and identify the best machine learning to be applied.

Item Type: Article
Uncontrolled Keywords: Capsicum frutescens; Normalize difference vegetation Index; Image processing; Agriculture
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering
Faculty/Division: Institute of Postgraduate Studies
Faculty of Manufacturing and Mechatronic Engineering Technology
Depositing User: Mrs Norsaini Abdul Samat
Date Deposited: 11 Apr 2022 03:50
Last Modified: 11 Apr 2022 03:50
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