Assessing the vitality of standing trees is of great interest for environmental protection, tree care, fruit cultivation and forestry. The TreeMon project therefore aims to develop an autonomous sensor node for micro-acoustic sound emissions and put it into practice.
To this end, a demonstrator of a wireless sensor node is to be developed, which is attached to the trunk of the tree. It records micro-acoustic sound emissions over a longer period of time and evaluates them independently or with the help of a central computer on the basis of machine learning. In addition to temperature, humidity and wind data, dendrological and digital optical parameters of the tree will also be recorded. The digital measurement system is intended to detect and classify significant damage and diseases at an early stage, suggest timely measures, and allow more stable and better yields in fruit growing. Furthermore, it is intended to evaluate the effectiveness of long-term measures in forestry and, if necessary, serve as a basis for their adaptation and modification.
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