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Appropriate Tealeaf Harvest Timing Determination Based on NIR Images

By Kohei Arai, Yoshihiko Sasaki, Shihomi Kasuya and Hideto Matusura

Abstract

Method for most appropriate tealeaves harvest\ud timing with Near Infrared (NIR) camera images is proposed. In\ud the proposed method, NIR camera images of tealeaves are used\ud for estimation of nitrogen content in tealeaves. The nitrogen\ud content is highly correlated to Theanine (amid acid) content in\ud tealeaves. Theanine rich tealeaves taste good. Therefore,\ud tealeaves quality can be estimated with NIR camera images.\ud Also, leaf area of tealeaves is highly correlated to NIR\ud reflectance of tealeaf surface. Therefore, not only tealeaf quality\ud but also harvest mount can be estimated with NIR camera\ud images. Experimental results shows the proposed method does\ud work for estimation of appropriate tealeaves harvest timing with\ud NIR camera images

Topics: Nitrigen Content, Amino Accid, Leaf Are., Tealeaves, Leaf Are., Electronic computers. Computer science, QA75.5-76.95, Instruments and machines, QA71-90, Mathematics, QA1-939, Science, Q
Publisher: MECS Publisher
Year: 2015
DOI identifier: 10.5815/ijitcs.2015.07.01
OAI identifier: oai:doaj.org/article:245691ada4f044afb2e52e80bcae5c3d
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