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Article Details

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.

Smartphone Image based Agricultural Product Quality and Harvest Amount Prediction Method

Author 1: Kohei Arai
Author 2: Osamu Shigetomi
Author 3: Yuko Miura
Author 4: Satoshi Yatsuda

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Digital Object Identifier (DOI) : 10.14569/IJACSA.2019.0100904

Article Published in International Journal of Advanced Computer Science and Applications(IJACSA), Volume 10 Issue 9, 2019.

  • Abstract and Keywords
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Abstract: A method for agricultural product quality and harvest amount prediction by using smartphone camera image is proposed. It is desired to predict agricultural product quality and harvest amount as soon as possible after the sowing. In order for that, satellite imagery data, UAV camera based images, ground based camera images are used and tried These methods do cost significantly and these do not work so well due to some reasons, in particular, most of farmers cannot use these properly. The proposed method uses just smartphone camera acquired images. Therefore, it is totally easy to use. If the results of prediction of product quality and harvest amount are not satisfied, then farmers have to add some additional fertilizer at the appropriate time. The experimental results with soy plantations show some possibility of the proposed method.

Keywords: Smartphone camera image; agricultural product quality and harvest prediction; fertilizer control; soy plantation

Kohei Arai, Osamu Shigetomi, Yuko Miura and Satoshi Yatsuda, “Smartphone Image based Agricultural Product Quality and Harvest Amount Prediction Method” International Journal of Advanced Computer Science and Applications(IJACSA), 10(9), 2019. http://dx.doi.org/10.14569/IJACSA.2019.0100904

@article{Arai2019,
title = {Smartphone Image based Agricultural Product Quality and Harvest Amount Prediction Method},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2019.0100904},
url = {http://dx.doi.org/10.14569/IJACSA.2019.0100904},
year = {2019},
publisher = {The Science and Information Organization},
volume = {10},
number = {9},
author = {Kohei Arai and Osamu Shigetomi and Yuko Miura and Satoshi Yatsuda}
}


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