Observing how forests behave is essential to understand complex ecological and economically related processes. Environmental sensor networks can replace time consuming data collection and work autonomously 24/7. When connected to the internet, they allow real-time observations of the environment.
Open-source software and hardware allow to build sophisticated monitoring systems. LoRa technology combined with Raspberry PI is a cost-effective solution that enable long-range nodes communication. The nodes can be customized with different sensors (e.g., vision, temperature, humidity). Moreover, they could be a static node on the ground, or a mobile node shipped on a drone.
The aim of this project is to setup an aerial-ground network that can be operated off-grid and in remote areas. This will be achieved within the main steps:
1) Review of the state-of-the art in this topic
2) Design different network architectures for different user scenarios
3) Field tests with the LoRa modules/nodes
4) Writing report.
- Prauzek, M., Konecny, J., Borova, M., Janosova, K., Hlavica, J., Musilek, P., 2018. Energy harvesting sources, storage devices and system topologies for environmental wireless sensor networks: A review. Sensors (Switzerland) 18.
- Barnard, H.R., Findley, M.C., Csavina, J., 2014. PARduino: A simple and inexpensive device for logging photosynthetically active radiation. Tree Physiol. 34, 640–645.
- Kirby, J., Chapman, L., Chapman, V., 2018. Assessing the Raspberry Pi as a low-cost alternative for acquisition of near infrared hemispherical digital imagery. Agric. For. Meteorol. 259, 232–239.
- Electronics & Gadgets enthusiast
- Willingness to learn new tools
- Keen to work in beautiful forests
Theme(s): Unmanned Aerial Vehicles, Field robotics, Artificial Intelligence, Machine vision, Deep learning
dr. J.R. (Joao) Pereira Valente (email@example.com)
Benjamin Brede - GRS (firstname.lastname@example.org)