An intelligent monitoring system of greenhouse: A Belief Functions Theory-Based Approach

In order to improve the quality and quantity of agricultural products grown in greenhouses, it is necessary to have optimal microclimatic monitoring. In this paper, we develop a new system for an intelligent monitoring of a greenhouse. This system is able to supervise and perceive environmental conditions of the soil and climatic conditions inside the greenhouse. With its actuation ability, this system can automatically provide appropriate services such as: irrigation control, lighting control, ventilation control, etc. Moreover, in order to deal with the imperfection that characterizes the data perceived by different sensors, we propose a new model based on the theory of belief functions. This will improve the decision making process about the actions to be triggered. Also, the system includes a mobile application for users’ remote interactions. Finally, we make a prototype to test and validate our proposal.