Appropriate Tealeaf Harvest Timing Determination Based on NIR Images
Автор: Kohei Arai, Yoshihiko Sasaki, Shihomi Kasuya, Hideto Matusura
Журнал: International Journal of Information Technology and Computer Science(IJITCS) @ijitcs
Статья в выпуске: 7 Vol. 7, 2015 года.
Бесплатный доступ
Method for most appropriate tealeaves harvest timing with Near Infrared (NIR) camera images is proposed. In the proposed method, NIR camera images of tealeaves are used for estimation of nitrogen content in tealeaves. The nitrogen content is highly correlated to Theanine (amid acid) content in tealeaves. Theanine rich tealeaves taste good. Therefore, tealeaves quality can be estimated with NIR camera images. Also, leaf area of tealeaves is highly correlated to NIR reflectance of tealeaf surface. Therefore, not only tealeaf quality but also harvest mount can be estimated with NIR camera images. Experimental results shows the proposed method does work for estimation of appropriate tealeaves harvest timing with NIR camera images.
Tealeaves, Nitrigen Content, Amino Accid, Leaf Are
Короткий адрес: https://sciup.org/15012317
IDR: 15012317
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