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논문검색

Greenhouse Management Framework based on Localization Using RGPSi and AoA

초록

영어

In this paper, the concept of the smart greenhouse control framework is proposed with the help of localization algorithm. The proposed smart greenhouse framework consists of the data aggregator with the database, the environment control part and the crop growth status control part. The data aggregator has been equipped with the various sensors to measure the data for crop growth. The sensors have ability of communication and calculation of location of target. As a localization algorithm, RGPSi is used. RGPSi uses the iteration algorithm similar to the GPS algorithm, but utilize the ratio of signal strengths instead of absolute strengths. To improve the accuracy of the localization, the method of AOA(angle of arrival) of signal will be added. The environment control part has the role to generate the control signals for the greenhouse to operate properly for satisfying the goal. Information for the status of crop growth is generated from the growth control part. With the help of the goal function two parts will be interacting each other and have fed back the sensed data from the greenhouse.

목차

Abstract
 1. Introduction
 2. Localization Algorithm
 3. The Greenhouse Monitoring Framework with Localization Algorithm
 4. Conclusion
 References

저자정보

  • Jangwoo Park Department of Information and Communication Engineering, Sunchon National University
  • Hong-geun Kim Department of Information and Communication Engineering, Sunchon National University
  • Yongyun Cho Department of Information and Communication Engineering, Sunchon National University
  • Changsun Shin Department of Information and Communication Engineering, Sunchon National University
  • Kyungryong Cho Department of Information and Communication Engineering, Sunchon National University
  • Dong-guk Park Department of Information and Communication Engineering, Sunchon National University

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