Poster + Paper
12 March 2024 Laser remote sensor for oil palm fruit ripeness assessment
Kok-Sing Lim, Batrisyia Ahmad Nazri, Wan Rusydiah Rusik, Amirul Al Hafiz Abdul Hamid, Cheong-Weng Ooi, Waldo Udos, Mohd Shiraz Aris, Mohd Zulfahmi Mohd Yusof, Harikrishna Kulaveerasingam, Wu-Yi Chong, Mohammad Faizal Ismail, Harith Ahmad
Author Affiliations +
Conference Poster
Abstract
The color change of oil palm Fresh Fruit Bunches (FFB) is one of the important parameters 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 FFB at different ripeness, laser modules at three different wavelengths (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 to 9 m. 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.
(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Kok-Sing Lim, Batrisyia Ahmad Nazri, Wan Rusydiah Rusik, Amirul Al Hafiz Abdul Hamid, Cheong-Weng Ooi, Waldo Udos, Mohd Shiraz Aris, Mohd Zulfahmi Mohd Yusof, Harikrishna Kulaveerasingam, Wu-Yi Chong, Mohammad Faizal Ismail, and Harith Ahmad "Laser remote sensor for oil palm fruit ripeness assessment", Proc. SPIE 12879, Photonic Technologies in Plant and Agricultural Science, 128790I (12 March 2024); https://doi.org/10.1117/12.3014258
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KEYWORDS
Sensors

Reflection

Matrices

Visual inspection

Spectroscopy

Reflectivity

Visualization

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