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Abstract
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Article Information:
Oil Palm Fruit Classifications by using Near Infrared Images
Muhamad Saufi Mohd Kassim, Wan Ishak Wan Ismail and Lim Ho Teik
Corresponding Author: Muhamad Saufi Mohd Kassim
Submitted: February 23, 2013
Accepted: June 18, 2013
Published: March 20, 2014 |
Abstract:
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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.
Key words: Microstrip sensor, multispectral images, Near Infrared (NIR), oil palm FFB, , ,
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Cite this Reference:
Muhamad Saufi Mohd Kassim, Wan Ishak Wan Ismail and Lim Ho Teik, . Oil Palm Fruit Classifications by using Near Infrared Images. Research Journal of Applied Sciences, Engineering and Technology, (11): 2200-2207.
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ISSN (Online): 2040-7467
ISSN (Print): 2040-7459 |
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