Potential of hyperspectral imaging for visual authentication of sliced organic potatoes from potato and sweet potato tubers and rapid grading of the tubers according to moisture proportion.
W. Su, and D. Sun. Comput. Electron. Agric., (2016)
Please log in to take part in the discussion (add own reviews or comments).
Cite this publication
More citation styles
- please select -
%0 Journal Article
%1 journals/cea/SuS16
%A Su, Wen-Hao
%A Sun, Da-Wen
%D 2016
%J Comput. Electron. Agric.
%K dblp
%P 113-124
%T Potential of hyperspectral imaging for visual authentication of sliced organic potatoes from potato and sweet potato tubers and rapid grading of the tubers according to moisture proportion.
%U http://dblp.uni-trier.de/db/journals/cea/cea125.html#SuS16
%V 125
@article{journals/cea/SuS16,
added-at = {2020-02-22T00:00:00.000+0100},
author = {Su, Wen-Hao and Sun, Da-Wen},
biburl = {https://www.bibsonomy.org/bibtex/257d1e2f81718b1f0ddac4ad659ff4a84/dblp},
ee = {https://www.wikidata.org/entity/Q59239743},
interhash = {83d4604c093669844fa1a9d5ea372426},
intrahash = {57d1e2f81718b1f0ddac4ad659ff4a84},
journal = {Comput. Electron. Agric.},
keywords = {dblp},
pages = {113-124},
timestamp = {2020-02-25T11:44:58.000+0100},
title = {Potential of hyperspectral imaging for visual authentication of sliced organic potatoes from potato and sweet potato tubers and rapid grading of the tubers according to moisture proportion.},
url = {http://dblp.uni-trier.de/db/journals/cea/cea125.html#SuS16},
volume = 125,
year = 2016
}