Spain: They use thermal images with drones for better detection of 'La Seca' of the oak

Published 2024년 2월 21일

Tridge summary

A collaborative study has developed a new method for monitoring the health of agrosilvopastoral systems using drones equipped with multispectral and thermal sensors. The method, which predicts the impact of diseases, was able to identify trees affected by the fungus Phytophthora with over 76% accuracy. This early detection allows for proactive forest management and could be crucial in conserving ecosystems.
Disclaimer:The above summary was generated by Tridge's proprietary AI model for informational purposes.

Original content

The CSIC has explained in a note that the pasture plays a crucial role in the ecosystem and is threatened by various circumstances such as pests, diseases or environmental stress factors, so detecting the deterioration of its health in time "is vital for proper management." effective forestry,” says Homero. The researcher has indicated that the study developed demonstrates that the joint use of multispectral and thermal sensors in drones, combined with physical models, "changes the rules of the game to predict the impact of diseases in agrosilvopastoral systems." The study, in which researchers from the University of Córdoba, the University of Melbourne (Australia) and the InnovPlantProtect laboratory in Portugal also participated, demonstrates a novel approach to monitoring the health of the dehesa. “Using multispectral and thermal images captured by unmanned aerial vehicles (UAVs) equipped with miniaturized cameras, together with 3D radiative transfer models and machine ...
Source: Agromeat

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