Electronic design and IoT (Internet of Things) project under co-supervision of Prof. Booysens with the main aim to develop a wireless dendrometer utilising LoRaWAN (Long Range Wide Area Network) technology. LoRaWAN represents a groundbreaking advancement in the field of dendrometry and forestry management. By incorporating LoRaWAN (a low-power, long-range communication protocol) this innovative dendrometer system allows high velocity, remote monitoring and data collection from trees and forests. This technology not only enhances the accuracy and frequency of forest data collection, but also minimises the need for physical intervention in the forest, reducing potential disturbance to the ecosystem. With the integration of LoRaWAN, the wireless dendrometer opens up new avenues for efficient and sustainable forest management, aiding in the preservation and sustainable use of our vital forest resources.
This work has recently been published as:
The published study expands on the original MEng project by integrating the wireless dendrometer with a digital twin framework, enabling enhanced modelling, real-time data analysis, and improved decision-making in forestry systems.
This advancement highlights the potential of combining low-cost sensing technologies with intelligent data systems to support scalable and sustainable forest management.


