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DOI: 10.14569/IJARAI.2016.051004
PDF

Method for Vigor Diagnosis of Tea Trees based on Nitrogen Content in Tealeaves Relating to NDVI

Author 1: Kohei Arai

International Journal of Advanced Research in Artificial Intelligence(IJARAI), Volume 5 Issue 10, 2016.

  • Abstract and Keywords
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Abstract: Method for vigor diagnosis of tea trees based on nitrogen content in tealeaves relating to NDVI 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.

Keywords: Tealeaves; Nitrigen content; Amino accid; Leaf area; NDVI

Kohei Arai, “Method for Vigor Diagnosis of Tea Trees based on Nitrogen Content in Tealeaves Relating to NDVI” International Journal of Advanced Research in Artificial Intelligence(IJARAI), 5(10), 2016. http://dx.doi.org/10.14569/IJARAI.2016.051004

@article{Arai2016,
title = {Method for Vigor Diagnosis of Tea Trees based on Nitrogen Content in Tealeaves Relating to NDVI},
journal = {International Journal of Advanced Research in Artificial Intelligence},
doi = {10.14569/IJARAI.2016.051004},
url = {http://dx.doi.org/10.14569/IJARAI.2016.051004},
year = {2016},
publisher = {The Science and Information Organization},
volume = {5},
number = {10},
author = {Kohei Arai}
}



Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.

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