Exploring Collective Behavior of Internet of Robotic Things for Indoor Plant Health Monitoring

In this paper, we present an innovative way of sensing the health of indoor plants and performing actions using social media messaging service as a cost-saving exercise. For this, we explore the use of Internet of Robotic Things (IoRT), the incorporation of robotics aspect into wider IoT environment to transform the present landscape into the fully automated world. The dynamic nature of health of plants is inferred intelligently by the employed machine learning models which take the input readings of the sensors attached to the robotic arm of an autonomous mobile robot. Ericsson’s APPIoT platform is used for storing and analyzing the sensor data in a cloud background for setting newer thresholds. The actuation efforts are shared to a closed community through social media messaging platform like WhatsApp. The community members who received the intimation are expected to take necessary actions immediately. The system has been tested in an indoor environment of the Ericsson office in Chennai where the different types of plant pots are deployed on different floors. By exploring the collective behavior in our system proved to be a cost-efficient way of maintaining the health of the indoor plants.