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DOI: 10.14569/IJARAI.2015.040705
PDF

Relation between Rice Crop Quality (Protein Content) and Fertilizer Amount as Well as Rice Stump Density Derived from Helicopter Data

Author 1: Kohei Arai
Author 2: Masanoori Sakashita
Author 3: Osamu Shigetomi
Author 4: Yuko Miura

International Journal of Advanced Research in Artificial Intelligence(IJARAI), Volume 4 Issue 7, 2015.

  • Abstract and Keywords
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Abstract: Relation between protein content in rice crops and fertilizer amount as well as rice stump density is clarified with a multi-spectral camera data mounted on a radio-wave controlled helicopter. Estimation of protein content in rice crop and total nitrogen content in rice leaves through regression analysis with Normalized Difference Vegetation Index: NDVI derived from camera mounted radio-controlled helicopter is already 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 total nitrogen content in rice leaves is linearly proportional to fertilizer amount and NDVI. Also, it is found that protein content in rice crops is positively proportional to fertilizer amount for lower fertilizer amount while protein content in rice crop is negatively proportional to fertilizer amount for relatively high fertilizer amount.

Keywords: Rice Crop; Rice Leaf; Total nitrogen content; Protein content; NDVI; Fertilizer amount; Rice stump density

Kohei Arai, Masanoori Sakashita, Osamu Shigetomi and Yuko Miura, “Relation between Rice Crop Quality (Protein Content) and Fertilizer Amount as Well as Rice Stump Density Derived from Helicopter Data” International Journal of Advanced Research in Artificial Intelligence(IJARAI), 4(7), 2015. http://dx.doi.org/10.14569/IJARAI.2015.040705

@article{Arai2015,
title = {Relation between Rice Crop Quality (Protein Content) and Fertilizer Amount as Well as Rice Stump Density Derived from Helicopter Data},
journal = {International Journal of Advanced Research in Artificial Intelligence},
doi = {10.14569/IJARAI.2015.040705},
url = {http://dx.doi.org/10.14569/IJARAI.2015.040705},
year = {2015},
publisher = {The Science and Information Organization},
volume = {4},
number = {7},
author = {Kohei Arai and Masanoori 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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