Artificial Intelligence based Fertilizer Control for Improvement of Rice Quality and Harvest Amount
Journal Title: International Journal of Advanced Computer Science & Applications - Year 2018, Vol 9, Issue 10
Abstract
Artificial Intelligence: AI based fertilizer control for improvement of rice quality and harvest amount is proposed together with intelligent drone based rice field monitoring system. Through experiments at the rice paddy fields which is situated at Saga Prefectural Research Institute of Agriculture: SPRIA in Saga city, Japan, it is found that the proposed system allows control rice crop quality and harvest amount by changing fertilizer type and supply amount. It, also, is found the most appropriate fertilizer supply management method which maximizing rice crop quality and harvest amount. Furthermore, these rice crop quality and harvest mount can be predicted in the early stage of rice leaf grow. Therefore, rice crop quality and harvest amount becomes controllable.
Authors and Affiliations
Kohei Arai, Osamu Shigetomi, Yuko Miura
Keywords
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- EP ID EP406802
- DOI 10.14569/IJACSA.2018.091008
- Views 90
- Downloads 0
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