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The Science and Information (SAI) Organization publishes open-access peer-reviewed journals in computer science and artificial intelligence.

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Research Article | Open Access |

Regressive Analysis on Leaf Nitrogen Content and Near Infrared Reflectance and Its Application for Agricultural Farm Monitoring with Helicopter Mounted Near Infrared Camera

Author 1: Kohei Arai Author 2: Sadayuki Akaisi Author 3: Hideo Miyazaki Author 4: Yasuyuki Watabe
International Journal of Advanced Research in Artificial Intelligence (IJARAI) · Vol. 2, No. 3 · Published 2013

DOI: https://doi.org/10.14569/IJARAI.2013.020306

Abstract

Method for evaluation of nitrogen richness of tealeaves with near infrared reflectance is proposed. Also tea farm monitoring with helicopter mounted near infrared camera is proposed. Through experiments and regressive analysis, it is found that the proposed method and monitoring system is validated.

Keywords

How to Cite this Article

Arai, K., Akaisi, S., Miyazaki, H., & Watabe, Y. (2013). Regressive Analysis on Leaf Nitrogen Content and Near Infrared Reflectance and Its Application for Agricultural Farm Monitoring with Helicopter Mounted Near Infrared Camera. International Journal of Advanced Research in Artificial Intelligence, 2(3). https://doi.org/10.14569/IJARAI.2013.020306

Arai, Kohei, et al.. "Regressive Analysis on Leaf Nitrogen Content and Near Infrared Reflectance and Its Application for Agricultural Farm Monitoring with Helicopter Mounted Near Infrared Camera." International Journal of Advanced Research in Artificial Intelligence, vol. 2, no. 3, 2013, https://doi.org/10.14569/IJARAI.2013.020306.

@article{Arai2013,
  title     = {Regressive Analysis on Leaf Nitrogen Content and Near Infrared Reflectance and Its Application for Agricultural Farm Monitoring with Helicopter Mounted Near Infrared Camera},
  journal   = {International Journal of Advanced Research in Artificial Intelligence},
  volume    = {2},
  number    = {3},
  year      = {2013},
  publisher = {The Science and Information Organization},
  author    = {Kohei Arai and Sadayuki Akaisi and Hideo Miyazaki and Yasuyuki Watabe},
  doi       = {10.14569/IJARAI.2013.020306},
  url       = {https://doi.org/10.14569/IJARAI.2013.020306}
}

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