Parameter acceptance of software development for oil palm fruit maturity prediction

• Published in: Journal of Software Engineering
• Main Author: Hudzari R.M.; Ishak W.W.W.; Noorman M.M.
• Format: Article
• Language: English
• Published: 2010
• Online Access: https://www.scopus.com/inward/record.uri?eid=2-s2.0-78049314888&doi=10.3923%2fjse.2010.244.256&partnerID=40&md5=09ccdc1cc98c7c5d66f691af445a4c82

This study investigates the correlation between oil content in the oil palm fruit against the color of the oil palm fruit. Images from samples of oil palm fruits were acquired using Microsoft LifeCam VX-1000 while the light intensity was recorded using Extech Instrument Datalogging Light Meter model 401036. Image processing and analysis of the samples was carried out using Visual Basic 6.0. Physical measurements of the amount of oil content in the fruit were carried out by chemical analysis. Twenty three FFB type Elaeis guineensis Jacq. with three ripeness categories had shows relationship between red band and oil content It was found that red color band is significant to determine oil content in FFB for this species of oil palm. The fruit is ripe when R = 0.0016x+142.39 and contains 11.82% oil content, R = 0.0009x+186.67 for unripe fruit with 0.09% oil content and overripe FFB shows 9.63% oil content whenR = 0.0012x+l79.83 where, x is the light intensity in FC (Foot Candles) 2000 unit The finding of this study is useful for determining ripeness of oil palm for harvesting and at the last will use in developing the commercial color meter to measure fruit ripeness using non-contact measurement technique. © 2010 Academic Journals Inc.