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Research Article | Open Access |

Method for Determination of Tealeaf Plucking Date with Cumulative Air Temperature: CAT and Photosynthetically Active Radiation: PAR

Author 1: Kohei Arai Author 2: Yoshiko Hokazono
International Journal of Advanced Computer Science and Applications (IJACSA) · Vol. 13, No. 10 · Published 2022

DOI: https://doi.org/10.14569/IJACSA.2022.01310110

Abstract

Method for determination of tealeaf plucking date with cumulative air temperature and Photosynthetically Active Radiation: PAR which is provided by the remote sensing satellites: Terra/MODIS and Aqua/MODIS is proposed. Also, a confirmation of thermal environment at the intensive study tea farm areas with Landsat-9 TIR (Thermal Infrared) image is conducted. Through a regressive analysis between the harvested tealeaf quality and the cumulative air temperature and PAR at the intensive study areas, it is found that there is a highly reliable relation between both. Also, an importance of air temperature environment at the sites is confirmed with Landsat-9 TIR image.

Keywords

How to Cite this Article

Arai, K., & Hokazono, Y. (2022). Method for Determination of Tealeaf Plucking Date with Cumulative Air Temperature: CAT and Photosynthetically Active Radiation: PAR. International Journal of Advanced Computer Science and Applications, 13(10). https://doi.org/10.14569/IJACSA.2022.01310110

Arai, Kohei, and Yoshiko Hokazono. "Method for Determination of Tealeaf Plucking Date with Cumulative Air Temperature: CAT and Photosynthetically Active Radiation: PAR." International Journal of Advanced Computer Science and Applications, vol. 13, no. 10, 2022, https://doi.org/10.14569/IJACSA.2022.01310110.

@article{Arai2022,
  title     = {Method for Determination of Tealeaf Plucking Date with Cumulative Air Temperature: CAT and Photosynthetically Active Radiation: PAR},
  journal   = {International Journal of Advanced Computer Science and Applications},
  volume    = {13},
  number    = {10},
  year      = {2022},
  publisher = {The Science and Information Organization},
  author    = {Kohei Arai and Yoshiko Hokazono},
  doi       = {10.14569/IJACSA.2022.01310110},
  url       = {https://doi.org/10.14569/IJACSA.2022.01310110}
}

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