About FAO News Multimedia Main topics Statistics Members Publications

FAO AGRIS - International System for Agricultural Science and Technology

Advanced Search

Prediction of oil content in fresh palm fruit based on an ultrasonic technique

2012

Sutthawee Suwannarat(Prince of Songkla University. Hat Yai Campus, Songkhla (Thailand). Faculty of Engineering. Department of Computer Engineering. Intelligent Systems Laboratory) | Thanate Khaorapapong(Prince of Songkla University. Hat Yai Campus, Songkhla (Thailand). Faculty of Engineering. Department of Computer Engineering. Intelligent Systems Laboratory) | Mitchai Chongcheawchamnan(Prince of Songkla University. Hat Yai Campus, Songkhla (Thailand). Faculty of Engineering. Department of Computer Engineering. Intelligent Systems Laboratory) E-mail:[email protected]

AGROVOC Keywords
forecasting irradiation lipid content neural networks oil content oil palm oil palms prediction statistical methods trade ultrasonics
Bibliographic information
ISSN 0075-5192
Pagination
pp. 318-324
Other Subjects
Oil-palm trading market; Fresh palm fruit; Fruit; Ultrasonic testing; Ultrasonic technique; Neural network; Polynomial regression
Language
English
Type
Summary; Non-Conventional
2016-08-15
AGRIS AP
Data Provider

This bibliographic record has been provided by Kasetsart University

Discover this data provider's collection in AGRIS

Links
http://kasetsartjournal.ku.ac.th
Lookup at Google Scholar
If you notice any incorrect information relating to this record, please contact us at [email protected]