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DOI: 10.14569/IJARAI.2014.030303
PDF

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), Volume 3 Issue 3, 2014.

  • Abstract and Keywords
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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.

Keywords: nitrogen content; NDVI; protein content; rice paddy field; remote sensing; regression analysis

Kohei Arai , Masanori Sakashita, Osamu Shigetomi and Yuko Miura, “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(IJARAI), 3(3), 2014. http://dx.doi.org/10.14569/IJARAI.2014.030303

@article{2014,
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},
doi = {10.14569/IJARAI.2014.030303},
url = {http://dx.doi.org/10.14569/IJARAI.2014.030303},
year = {2014},
publisher = {The Science and Information Organization},
volume = {3},
number = {3},
author = {Kohei Arai and Masanori Sakashita and Osamu Shigetomi and Yuko Miura}
}



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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