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Research Article | Open Access |

Estimation of Protein Content in Rice Crop and Nitrogen Content in Rice Leaves Through Regression Analysis with NDVI Derived from Camera Mounted Radio-Control Helicopter

Author 1: Kohei Arai Author 2: Masanori Sakashita Author 3: Osamu Shigetomi Author 4: Yuko Miura
International Journal of Advanced Research in Artificial Intelligence (IJARAI) · Vol. 3, No. 3 · Published 2014 · Cited by 13

DOI: 10.14569/IJARAI.2014.030303

Abstract

Estimation of protein content in rice crop and nitrogen content in rice leaves through regression analysis with Normalized Difference Vegetation Index: NDVI derived from camera mounted radio-control helicopter is proposed. Through experiments at rice paddy fields which is situated at Saga Prefectural Research Institute of Agriculture: SPRIA in Saga city, Japan, it is found that protein content in rice crops is highly correlated with NDVI which is acquired with visible and Near Infrared: NIR camera mounted on radio-control helicopter. It also is found that nitrogen content in rice leaves is correlated to NDVI as well. Protein content in rice crop is negatively proportional to rice taste. Therefore rice crop quality can be evaluated through NDVI observation of rice paddy field.

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How to Cite this Article

Arai, K., Sakashita, M., Shigetomi, O., & Miura, Y. (2014). Estimation of Protein Content in Rice Crop and Nitrogen Content in Rice Leaves Through Regression Analysis with NDVI Derived from Camera Mounted Radio-Control Helicopter. International Journal of Advanced Research in Artificial Intelligence, 3(3). https://doi.org/10.14569/IJARAI.2014.030303

Arai, Kohei, et al.. "Estimation of Protein Content in Rice Crop and Nitrogen Content in Rice Leaves Through Regression Analysis with NDVI Derived from Camera Mounted Radio-Control Helicopter." International Journal of Advanced Research in Artificial Intelligence, vol. 3, no. 3, 2014, https://doi.org/10.14569/IJARAI.2014.030303.

@article{Arai2014,
  title     = {Estimation of Protein Content in Rice Crop and Nitrogen Content in Rice Leaves Through Regression Analysis with NDVI Derived from Camera Mounted Radio-Control Helicopter},
  journal   = {International Journal of Advanced Research in Artificial Intelligence},
  volume    = {3},
  number    = {3},
  year      = {2014},
  publisher = {The Science and Information Organization},
  author    = {Kohei Arai and Masanori Sakashita and Osamu Shigetomi and Yuko Miura},
  doi       = {10.14569/IJARAI.2014.030303},
  url       = {https://doi.org/10.14569/IJARAI.2014.030303}
}

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