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Successful applicants of the 2nd PULL Open Call for Farming, Forestry & Rural Challenges

Meet the 6 sub-projects that  have been selected in the ICAERUS’s 2nd PULL Open Call! These forward-thinking projects will use drone technology to tackle real challenges in farming, forestry, and rural communities—boosting sustainability, efficiency, and innovation.

ISSF Forest Guard: Innovative Drone Service for Safeguarding Forests

ISSF Forest Guard, by the Institute for Security and Strategic Research,  aims to develop and implement a drone-based monitoring service to combat environmental crimes such as illegal logging, waste dumping, and unauthorized resource extraction in forested areas. The primary objectives are to identify state-of-the-art drone, sensing, and analytical solutions, develop a methodology for detecting illegal activities using drones, create a proof of concept, and ultimately upgrade this into a market-ready service. The service will be offered on a subscription or pay-per-use basis, making it affordable and accessible for forestry agencies, cooperatives, and environmental organizations.

HYGRI: uav-based HYperspectral monitoring of aGRIculture

HYGRI,  by AVT Airborne Sensing, will improve the current in-house technology for the monitoring and detection of plant pathogens in fruit trees using UAV-mounted hyperspectral cameras with the final aim of commercialization of new services. The methodology, based on Machine Learning (ML) methods, will be tested in multiple surveys in Trentino province and validated with laboratory analysis

The outcomes for the monitoring activities will be available in the form of geospatial data, like classification maps, spectral indices, and an easy-to-use and friendly visualization and annotation application for desktop and mobile platforms. All products will be accompanied by metadata and accuracy statements. End users will use HYGRI in the field to check the status of their crops and enrich the data with annotations or in the office to make decision. HYGRI will be tested on flavescence dorée in vineyards and extended to other green monitoring applications  
 
RODENT: Rodent Obstruction through Drone-Enabled Non-invasive Technology

RODENT, by Šumski Mir and  Innovation Center, School of Electrical Engineering, University of Belgrade, proposes an innovative, non-invasive pest management solution. By utilizing unmanned aerial vehicles (drones) equipped with ultrasound speakers and thermal cameras, we aim to deter rodents effectively without relying on harmful chemicals 2 . The ultrasound waves, emitted within the rodents’ hearing range (8 kHz to 80 kHz), serve as a deterrent, while the thermal cameras enable precise rodent tracking and monitoring

Heidedrones: Heathland Environmental Impact Drone-based Evaluation Service
The Heidedrones project, by Grenspark Kalmthoutse Heide,  proposes an innovative environmental monitoring service in support of conservation management at the Belgian-Dutch border park Grenspark Kalmthoutse Heide 
  • photo point monitoring of nature development across the reserve,
  • linear monitoring of infrastructure such as firebreaks and roads/trails, including the distribution and spread of alien invasive species and litter, and
  • area monitoring of water bodies and the associated result of conservation management works.

The secondary objective is to create public awareness in the rural community on the potential as well as the limitations and restrictions of drones in environmental monitoring, leading to a continued community of engaging volunteers collaborating with conservation practitioners.  

UAInSPECT: UAS AI-driven INSPECTion and Maintenance System for Bridge Infrastructure

The main expected outcome of the UAInSPECT, by the Eucentre Foundation, is to provide a UAS-based monitoring and maintenance system of bridge infrastructure, including the use of innovative procedures based on artificial intelligence algorithms for semi-automated damage detection. This will result in a comprehensive service value chain, beginning with the infrastructure inspection and concluding with the fast assessment form of the bridge with the class of attention, as a basis for the intervention prioritization  

FAMMS: Forest Aerial Monitoring and Management System
The FAMMS project, by Ordine & Sicurezza Srl aims to combine drone technology, earth observation, and AI algorithms to develop a powerful decision support system (DSS) for forest management and planning, particularly in combating illegal logging. The prototype will be tested at the forest put at disposal by Piano Lago Legnami, achieving a TRL7 with a system prototype demonstrated in an operational environment. FAMMS DSS will be commercialised approximately 2 years after the project ends, adopting a B2B business model charging a recurrent annual fee calculated considering cadastral parcel analysed.  
 
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      Views and opinions expressed are however those of the author(s) only and do not necessarily reflect those of the European Union or Research Executive Agency. Neither the European Union nor the granting authority can be held responsible for them.

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