A Study on Greenhouse Management Framework for Intelligent Control Service of Greenhouse

نویسندگان

  • Miran Baek
  • Myeongbae Lee
  • Hong-geun Kim
  • Jangwoo Park
  • Yongyun Cho
  • Changsun Shin
چکیده

In this paper, an intelligent control of the greenhouse in the Greenhouse Management Framework (GMF) has been designed for the purpose of increasing the farmer’s profit and promoting the ease of agricultural production. The GMF is divided into Greenhouse Control Engine and Crop Growth Engine. The Greenhouse Control Engine consists of Data Aggregator, Greenhouse Information Storage, and Greenhouse Control Agent. The Greenhouse Control Agent includes Information Analyzer, Control Device Selector, and Greenhouse Control Model. The Crop Growth Engine consists of Crop Status Information Storage and Crop Growth Agent. The Crop Growth Agent includes Crop Status Predictor, Environment Set-points Decisioner, and Crop Growth Model. In this paper, the aim to reduce the consumption cost of the control device driven for the optimal greenhouse growth environment is one of the major features of the framework that is being proposed. In order to reduce heating cost, which consists of a major part in the cost of cultivation, we have tested the performance of our proposal for the GMF through the simulation. The simulated results confirm the decrease of heating costs from the present GMF.

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تاریخ انتشار 2016