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Oil palm fruit classifications by using near infrared images


Citation

Mohd Kassim, Muhamad Saufi and Wan Ismail, Wan Ishak and Lim, Ho Teik (2014) Oil palm fruit classifications by using near infrared images. Research Journal of Applied Sciences, Engineering and Technology, 7 (11). pp. 2200-2207. ISSN 2040-7459; ESSN: 2040-7467

Abstract

Non-destructive assessment on oil palm Fresh Fruit Bunch (FFB) variability provides information for convenient oil palm field management practices. In this study a destructive assessment, using a microstrip sensor technique was firstly used to determine oil palm FFB maturity stages. A sample of FFB fruitlets was taken from 50 oil palm trees. The statistical data of insertion loss obtained from microstrip sensor was then been compared with moisture content in wet basis that was obtained from oven drying to correlate with the FFB maturity stages. The images of the above FFB samples were taken at the field by using multispectral camera. These images were processed and Near Infrared (NIR) hue value was extracted as the maturity feature. A relationship between images data of NIR and microstrip sensor data was developed to determine the maturity stages. The maturity stages data was plotted in the GIS map. Farmers will be able to go to specific location of FFB that has the optimum maturity and carried out the harvesting operation efficiently.


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Additional Metadata

Item Type: Article
Divisions: Faculty of Engineering
Publisher: Maxwell Science Publication
Keywords: Microstrip sensor; Multispectral images; Near Infrared; Oil palm FFB
Depositing User: Nurul Ainie Mokhtar
Date Deposited: 21 Dec 2015 12:12
Last Modified: 21 Dec 2015 12:12
URI: http://psasir.upm.edu.my/id/eprint/34715
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