Development of imaging application for oil palm fruit maturity prediction

• Main Authors: Wan Ismail, Wan Ishak, Razali, Mohd Hudzari, Ramli, Abdul Rahman, Sulaiman, Md. Nasir, Harun, Mohd Haniff
• Format: Article
• Language: English
• Published: Faculty of Computer Science & Information Technology, University of Malaya 2009
• Online Access: http://psasir.upm.edu.my/id/eprint/14024/1/Development%20of%20imaging%20application%20for%20oil%20palm%20fruit%20maturity%20prediction.pdf; http://psasir.upm.edu.my/id/eprint/14024/; http://ejum.fsktm.um.edu.my/ArticleInformation.aspx?ArticleID=868

Color is the most important indicator for the farmer to determine fresh fruit bunches (FFB) for oil palm fruit maturity in manual harvesting process. To automate the harvesting operation, the development of vision system will replace the human eye for matured FFB recognition. In real plantation envi...