Kok, Sing Lim and Wan Rushdiah, Rusik and Amirul Al-Hafiz, Abd. Hamid and Cheong, Weng Ooi and Waldo, Udos and Mohd Shiraz, Aris and Mohd Zulfahmi, Mohd Yusof and Harikrishsna, Kulaveerasingam and Wu, Yi Chong and Mohamad Faizal, Ismail and Harith, Ahmad (2024) Laser remote sensor for oil palm fruit ripeness assessment. In: Conference on Photonic Technologies in Plant and Agricultural Science, 27 Jan - 01 Feb 2024, San Francisco, California, USA.
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Abstract
The color change of oil palm fresh fruit bunches (FFB) is one of the important parameter for harvesting decisions. However, human visual identification is prone to errors due to uncontrolled ambient lighting and the far distance of fruit bunches on tall palm trees. These errors can lead to inaccurate harvesting and significant revenue loss. This study introduces a laser remote sensor for non-destructive FFB ripeness assessment. Based on the unique spectral reflection curves of the FFO at different ripeness, laser modules at three different wavelenghts (visible-NIR region) have been employed for the measurement. The photodetector and laser sources are configured in a coaxial manner to enable long work distances up 10 9m. This portable laser remote sensor has undergone successful on-plant testing in oil palm estates with measurements validated against oil content by conventional bunch analysis. It is a potential tool for precision harvesting and oil yield prediction.
| Item Type: | Conference or Workshop Item (Paper) |
|---|---|
| Funders: | UNSPECIFIED |
| Additional Information: | Conference paper |
| Uncontrolled Keywords: | Oil palm fruit; Ripeness assessment; Renectance; Remote sensing; Near-infrared |
| Subjects: | S Agriculture > S Agriculture (General) T Technology > TK Electrical engineering. Electronics Nuclear engineering |
| Divisions: | Faculty of Engineering |
| Depositing User: | Mr. Mohd Safri |
| Date Deposited: | 26 Jun 2024 01:54 |
| Last Modified: | 26 Jun 2024 01:54 |
| URI: | http://eprints.um.edu.my/id/eprint/45059 |
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