ONDEHESA Operational Group: Intelligent observation of the DEHESA to prevent drought
- Type Operational group
- Status In progress
- Execution 2024 -2025
- Assigned Budget 298.656,1 €
- Scope Autonómico
- Autonomous community Andalucía
- Project website GO ONDEHESA
The ONDEHESA project will develop an innovative measurement system, based on IoT devices, that will allow real-time monitoring of the state of the dehesa, while also helping to issue recommendations that warn of the presence of the pathogen, along with its degree of severity, or even the possibility of its appearance, even before visual signs appear on the tree itself.
Among the project's outcomes are: Software for the automated detection of drought based on machine learning, which will aid in its prevention and severity assessment, thus contributing to the conservation of dehesas. Software for the visualization of indicators that help predict the onset of drought. Forty people will be trained to use the developed system.
- Analysis of variables that impact drought.
- Study of techniques and tools for data processing and early detection.
- Aerial image capture.
- Design and development of algorithms for data collection, transformation, and loading.
- Implementation and adjustment of algorithms for early drought prediction.
- Design of the user information and display system.
- Expert data analysis, results evaluation, and system tuning.
- Technical training
- Participation and organization of events
- Dissemination through resources offered by the AEI Network and EIP-Agri.
In Andalusia, pastures occupy around 1.2 million hectares and some 14,000 farms, managing a livestock population of more than 3 million sheep, cattle, goats, and pigs, which gives an idea of the economic, environmental, and social importance of this agroforestry system. The state of holm oaks and cork oaks, as the main (though not exclusive) tree components of pastures, is very worrying.
Added to an already serious situation of aging and lack of renewal in recent decades is the severe incidence of root rot and other factors that cause declines colloquially referred to as "Dry Forest." In Andalusia, the Agricultural Association of Young Farmers (Asaja) warns that, in just ten years, more than 100,000 hectares of holm oaks have been lost in Huelva.
Preventing and detecting the presence of dry blight in the pastureland is extremely important to prevent its spread to neighboring trees and to implement appropriate treatments that will impact its development.
To this end, the ONDEHESA project will develop an innovative measurement system, based on IoT devices, that will allow real-time monitoring of the state of the dehesa, while also helping to issue recommendations that warn of the presence of the pathogen, along with its degree of severity, or even the possibility of its appearance, even before visual signs appear on the tree itself.
Among the project's outcomes are: Software for the automated detection of drought based on machine learning, which will aid in its prevention and severity assessment, thus contributing to the conservation of dehesas. Software for the visualization of indicators that help predict the onset of drought. Forty people will be trained to use the developed system.
- Coordinator/entity name: Ayesa Foundation
- Postal address: Avd. Marie Curie 2 - PCT Cartuja - 41092 Seville
- Coordinator/entity email: info@fundacionayesa.org
- Telephone: 954467046
- Fundación Ayesa
- Fundación Ayesa (info@fundacionayesa.org)
- Fundación Ayesa
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