Implementation of Autonomous Robot for Analysis of Phenotypic, Genotypic and Environmental Stress in Warming Chamber and/or Greenhouse Setup+
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Thermal imaging of plants allows for the assessment of plants’ response to heat and water deprivation. A cyber-physical system(CPS) that can collect, monitor, and deliver Infrared (IR) and Visible Light(VL) images can help for the monitoring of experiments in a greenhouse setup. Due to the layout of a greenhouse, it is important for the system to be compact and mobile. The system also has to be controllable through a network interface in order to allow remote control and it has to be able to deliver data through the network. That is why the system will be implemented using a Raspberry Pi in conjunction with ROS. Furthermore, once the monitoring pictures have been delivered, analysis of the responses will be done using Python in conjunction with the image analysis library OpenCV. What we hope to achieve is to show the proof-of-concept of such a CPS with the preliminary results showing a clear difference between responses of plants that have been watered and plants that have not reflected in measurement changes in both IR and VL images. These results will also allow to possibly recognize patterns in plants response and thus leading to the development of a prediction model. With such a CPS of both data collection and analysis modules, future experiments will be able to be monitored remotely and effectively.
Avendano Ovalle, Dario (2019). Implementation of Autonomous Robot for Analysis of Phenotypic, Genotypic and Environmental Stress in Warming Chamber and/or Greenhouse Setup+. Undergraduate Research Scholars Program. Available electronically from