A Holistic Approach to Sustainable, Digital EU Agriculture, Forestry, Livestock and Rural Development based on Reconfigurable Aerial Enablers and Edge Artificial Intelligence-on-Demand Systems.

Food, Bioeconomy & Natural ResourcesHORIZON-RIAID: 101060529
EC Contribution
€59,497
Consortium Size
12 orgs
Start Year
2022
Summary

CHAMELEON's vision is to introduce, develop, test and evaluate an integrated network of collaborating agents, equipped with advanced sensing and cognitive capabilities that can support multiple - missions at tactical level. While UVs are highly specialized systems manufactured by different providers, they all implement the CHAMELEON specifications, enabling all common features necessary to take part in the surveillance tasks foreseen by the use cases. As such, CHAMELEON aspires to exploit already well-established technologies and tools that have reach adequate maturity, towards offering a complex interoperable and reconfigurable system capable of supporting a wide set of heterogeneous missions in diverse environmental conditions. CHAMELEON innovation lies on a novel reconfigurable drone, the CHAMELEON drone, able to modify its configuration and sizing upon demand, which can be deployed in homogenous or heterogeneous groups to support complex scenarios, as well as a set of existing heterogeneous, modular, interoperable, networked UVs systems. CHAMELEON Drones will be able to adapt its operation from a number of available services or application through CHAMELEON App-store.CHAMELEON will organize two open calls to attract and select the best SMEs from across the continent. SMEs will be funded to generate AI supported products, processes, and business models with strong market potential across the proposed clusters. Besides a total financial support of ~€600.000, CHAMELEON will provide technical and business mentorship to the selected SMEs. Open Calls will also lead towards the industrial applicability of the proposed tools and services without EC funding: it is envisioned that an estimated of 10 applications will be submitted through CHAMELEON and will be enriched with AI components.The CHAMELEON solution will be demonstrated and validated under relevant operating conditions in 3 pilot sites in 3 European countries.

Consortium (12)

Project Results (30)

Source: CORDIS, the EU research results database.

Publications (12)
Aerial-Drone-Based Tool for Assessing Flood Risk Areas Due to Woody Debris Along River Basins
Drones· 2025DOI
Innes Barbero-García, Diego Guerrero-Sevilla, David Sánchez-Jiménez, Ángel Marqués-Mateu, Diego González-Aguilera
BVLOS Unmanned Aircraft Operations in Forest Environments
Drones· 2025DOI
Robin John ap Lewis Hartley, Isaac Levi Henderson, Chris Lewis Jackson
Identifying Tree Species in a Warm-Temperate Deciduous Forest by Combining Multi-Rotor and Fixed-Wing Unmanned Aerial Vehicles
Drones· 2025DOI
Weibo Shi, Shaoqiang Wang, Huanyin Yue, Dongliang Wang, Huping Ye, Leigang Sun, Jia Sun, Jianli Liu, Zhuoying Deng, Yuanyi Rao, Zuoran Hu, Xiyong Sun
Leveraging Earth Observation Satellites and Drones for Emergency Response: Hotspot Detection, Burned Area Tracking, and Beyond
· 2025
David Sanchez-Jimenez; Paula Andrés-Anaya; David Cifuentes; Juan Ramon Charco-Toboso; Diego Guerrero-Sevilla; Roy Yali; Susana Lagüela; Diego Gonzalez-Aguilera
Radiometric Improvement of Spectral Indices Using Multispectral Lightweight Sensors Onboard UAVs
Drones· 2025DOI
Paula Andrés-Anaya, Adolfo Molada-Tebar, David Hernández-López, Miguel Ángel Moreno, Diego González-Aguilera, Mónica Herrero-Huerta
Using Drones to Estimate and Reduce the Risk of Wildfire Propagation in Wildland–Urban Interfaces
Applied System Innovation· 2025DOI
Osvaldo Santos, Natércia Santos
A Novel Drone Design Based on a Reconfigurable Unmanned Aerial Vehicle for Wildfire Management
Drones· 2024DOI
Dimitris Perikleous, George Koustas, Spyros Velanas, Katerina Margariti, Pantelis Velanas, Diego Gonzalez-Aguilera
High-Density UAV-LiDAR in an Integrated Crop-Livestock-Forest System: Sampling Forest Inventory or Forest Inventory Based on Individual Tree Detection (ITD)
Drones· 2024DOI
Ana Corte, Ernandes da Cunha Neto, Franciel Rex, Deivison Souza, Alexandre Behling, Midhun Mohan, Mateus Sanquetta, Carlos Silva, Carine Klauberg, Carlos Sanquetta, Hudson Veras, Danilo de Almeida, Gabriel Prata, Angelica Zambrano, Jonathan Trautenmüller, Anibal de Moraes, Mauro Karasinski, Eben Broadbent
Vineyard Leaf Disease Prediction: Bridging the Gap Between Predictive Accuracy and Interpretability
Advances in Intelligent Systems and Computing, New Trends in Disruptive Technologies, Tech Ethics, and Artificial Intelligence· 2024DOI
Noor E. Mobeen, Sarang Shaikh, Livinus Obiora Nweke, Mohamed Abomhara, Sule Yildirim Yayilgan, Muhammad Fahad
Automatic Processing for Identification of Forest Fire Risk Areas along High-Voltage Power Lines Using Coarse-to-Fine LiDAR Data
Forests· 2023DOI
David Hernández-López, Jorge López-Rebollo, Miguel A. Moreno, Diego Gonzalez-Aguilera
Structural Component Phenotypic Traits from Individual Maize Skeletonization by UAS-Based Structure-from-Motion Photogrammetry
Drones· 2023DOI
Monica Herrero-Huerta, Diego Gonzalez-Aguilera, Yang Yang
Unmanned Aerial Vehicles and Livestock Management: An Application in Western Crete
· 2023DOI
Nikolaos Sarantinoudis; George Arampatzis; Kimon P. Valavanis; Nikos Tsourveloudis
Deliverables (17)
Other Results (1)
Periodic Reporting for period 1 - CHAMELEON (A Holistic Approach to Sustainable, Digital EU Agriculture, Forestry, Livestock and Rural Development based on Reconfigurable Aerial Enablers and Edge Artificial Intelligence-on-Demand Systems.)