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. (Published)
|
Pdf
Classification of plant health _capsicum frutescens_ normalize differences.pdf Available under License Creative Commons Attribution Non-commercial. Download (586kB) | Preview |
Abstract
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 |
| URI: | http://umpir.ump.edu.my/id/eprint/33674 |
| Download Statistic: | View Download Statistics |
Actions (login required)
 |
View Item |