| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 7602123 | Food Chemistry | 2013 | 6 Pages |
Abstract
⺠Quantifying tea quality parameters using statistical methods and Remote Sensing. ⺠Investigating methods for determining tea quality based on remotely sensed data. ⺠Deriving relationships between NDVI and the quality parameters. ⺠A higher level of caffeine content lowers brightness; relationship seen with NDVI. ⺠NDVI can be used as a tool to monitor tea quality.
Related Topics
Physical Sciences and Engineering
Chemistry
Analytical Chemistry
Authors
Rishiraj Dutta,