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Monitoring green leaf tea quality parameters of different TV clones grown in northeast India using satellite data.
Food Chem. 2013 Aug 15; 139(1-4):689-94.FC

Abstract

This study tries to quantify the effects of green leaf tea parameters that influence tea quality in Northeast India. The study is to identify the different parameters that have a significant influence on tea quality through the use of remote sensing. It investigates the methods for estimating tea quality based on remotely sensed Normalized Difference Vegetation Index (NDVI) data. Attention focused on high yielding TV clones (TV1, TV18, TV22, TV23, TV25 and TV26). NDVI was obtained from ASTER images. Statistical analysis shows that NDVI has a strong significant effect on the caffeine content followed by epicatechin (EC), epigallocatechin (EGC) and to some extent in other chemical parameters. Relationships therefore exist between quality parameters and remote sensing in particular for the TV clones. This leads to the conclusion that NDVI has a large potential to be used for monitoring tea quality of individual cultivars in the future.

Authors+Show Affiliations

Asian Disaster Preparedness Center, Duty Station: ADPC-Bangladesh Office, Dhaka, Bangladesh. dutta13191@alumni.itc.nl

Pub Type(s)

Journal Article

Language

eng

PubMed ID

23561162

Citation

Dutta, Rishiraj. "Monitoring Green Leaf Tea Quality Parameters of Different TV Clones Grown in Northeast India Using Satellite Data." Food Chemistry, vol. 139, no. 1-4, 2013, pp. 689-94.
Dutta R. Monitoring green leaf tea quality parameters of different TV clones grown in northeast India using satellite data. Food Chem. 2013;139(1-4):689-94.
Dutta, R. (2013). Monitoring green leaf tea quality parameters of different TV clones grown in northeast India using satellite data. Food Chemistry, 139(1-4), 689-94. https://doi.org/10.1016/j.foodchem.2013.01.086
Dutta R. Monitoring Green Leaf Tea Quality Parameters of Different TV Clones Grown in Northeast India Using Satellite Data. Food Chem. 2013 Aug 15;139(1-4):689-94. PubMed PMID: 23561162.
* Article titles in AMA citation format should be in sentence-case
TY - JOUR T1 - Monitoring green leaf tea quality parameters of different TV clones grown in northeast India using satellite data. A1 - Dutta,Rishiraj, Y1 - 2013/02/09/ PY - 2012/02/27/received PY - 2013/01/27/revised PY - 2013/01/28/accepted PY - 2013/4/9/entrez PY - 2013/4/9/pubmed PY - 2013/10/19/medline SP - 689 EP - 94 JF - Food chemistry JO - Food Chem VL - 139 IS - 1-4 N2 - This study tries to quantify the effects of green leaf tea parameters that influence tea quality in Northeast India. The study is to identify the different parameters that have a significant influence on tea quality through the use of remote sensing. It investigates the methods for estimating tea quality based on remotely sensed Normalized Difference Vegetation Index (NDVI) data. Attention focused on high yielding TV clones (TV1, TV18, TV22, TV23, TV25 and TV26). NDVI was obtained from ASTER images. Statistical analysis shows that NDVI has a strong significant effect on the caffeine content followed by epicatechin (EC), epigallocatechin (EGC) and to some extent in other chemical parameters. Relationships therefore exist between quality parameters and remote sensing in particular for the TV clones. This leads to the conclusion that NDVI has a large potential to be used for monitoring tea quality of individual cultivars in the future. SN - 1873-7072 UR - https://www.unboundmedicine.com/medline/citation/23561162/Monitoring_green_leaf_tea_quality_parameters_of_different_TV_clones_grown_in_northeast_India_using_satellite_data_ L2 - https://linkinghub.elsevier.com/retrieve/pii/S0308-8146(13)00121-0 DB - PRIME DP - Unbound Medicine ER -
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