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The repository for the OCT1 focusing on vine segmentation and predicting the severity of leafhopper infestations by analyzing RGB and multispectral imagery captured by drones over vineyards.

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ICAERUS-EU/AI4Leafhopper

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AI4Leafhopper

This project was developed to detect symptoms of leafhopper infestation early in severity through the analysis of RGB and multispectral vineyard drone imagery.



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Summary

Within this repository, you will find a vine segmentation model and leafhopper disease severity prediction designed for vineyard severity monitoring.

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Acknowledgements

This project is funded by the European Union, grant ID 101060643.

https://cordis.europa.eu/project/id/101060643

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The repository for the OCT1 focusing on vine segmentation and predicting the severity of leafhopper infestations by analyzing RGB and multispectral imagery captured by drones over vineyards.

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