Document Type
Conference Item
Publication Date
4-25-2024
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.
Keywords
Oil palm fruit, Ripeness assessment, Renectance, Remote sensing, Near-infrared
Divisions
fac_eng
Event Title
Conference on Photonic Technologies in Plant and Agricultural Science
Event Location
San Francisco, California, USA
Event Dates
27 Jan - 01 Feb 2024
Event Type
conference
Additional Information
Conference paper