Smartphone Image based Agricultural Product Quality and Harvest Amount Prediction Method
Journal Title: International Journal of Advanced Computer Science & Applications - Year 2019, Vol 10, Issue 9
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.
Authors and Affiliations
Kohei Arai, Osamu Shigetomi, Yuko Miura, Satoshi Yatsuda
Keywords
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- EP ID EP645782
- DOI 10.14569/IJACSA.2019.0100904
- Views 72
- Downloads 0
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