AGRIS - International System for Agricultural Science and Technology

Predictability of price of tea from sensory assessments and biochemical information using data-mining techniques

2008

Paul, Sanjoy K.


Bibliographic information
Journal of the science of food and agriculture
ISSN 0022-5142
Publisher
The Royal Society of Chemistry
Other Subjects
Food composition and quality; Product grading; Tea (beverage); Multivariate adaptive regression splines; Food grades; Mathematics and statistics
Language
English
Note
Includes references
2019-12-06
Type
Text; Journal Article

2024-02-27
MODS
Data Provider
Lookup at Google Scholar
If you notice any incorrect information relating to this record, please contact us at agris@fao.org