Temperature and Humidity Control by Recommendation in Soil Cultivation Environment of Greenhouse

Abstract

In this paper, we address the design problem of an agri-environment control system that is constructed and operated at low costs. The key of the cost-reduction is farmers' participation in the control system: the human-in-the-loop system. In such a “human-in-the-loop” system, temperature and humidity in a greenhouse are predicted, and a prediction-based recommendation of control actions is send to the farmer. Based on the recommendation, which includes multiple options of control actions, the farmer determines his/her actions and participates to control the agri-environment in the house. The proposed prediction method and control system are verified in an experiment and a simulation, respectively.