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RoboTreeSense - Robot- and drone-assisted tree viability monitoring in tree nurseries (RoboTreeSense)

Project

Production processes

This project contributes to the research aim 'Production processes'. Which funding institutions are active for this aim? What are the sub-aims? Take a look:
Production processes


Project code: EIP-Agri-2022-Ni-PPGB
Contract period: 01.01.2022 - 31.12.2024
Budget: 448,501 Euro
Purpose of research: Applied research
Keywords: plant production and horticulture

The project RoboTreeSense deals with digital fitness monitoring of single trees in the tree nursery Bonk in Bad Zwischenahn, Germany, for early damage detection. Several optical sensor are mounted on a robot and a drone platform in order to detect spectral changes in the reflection pattern of the trees. Additionally, an electronic nose is used on both plathforms in order to detect the odor emission pattern of the trees, which should allow the detection of the onset of tree vitality decrease. This new monitoring approach improves the capabilities of the tree nursery to maintain the health of the plants with less resources.

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Subjects

Excutive institution

University of Goettingen

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