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.

Informazioni relative al progetto

CHAMELEON

ID dell’accordo di sovvenzione: 101060529

DOI

10.3030/101060529

Progetto chiuso

Data della firma CE 7 Giugno 2022

Data di avvio 1 Luglio 2022

Data di completamento 30 Giugno 2025

Finanziato da

• Food, Bioeconomy Natural Resources, Agriculture and Environment

Costo totale

€ 5 949 746,25

Contributo UE

€ 5 949 746,25

Coordinato da

ACCELIGENCE LTD
Cyprus

CORDIS fornisce collegamenti ai risultati finali pubblici e alle pubblicazioni dei progetti ORIZZONTE.

I link ai risultati e alle pubblicazioni dei progetti del 7° PQ, così come i link ad alcuni tipi di risultati specifici come dataset e software, sono recuperati dinamicamente da .OpenAIRE .

Risultati finali

Documents, reports (12)

CHAMELEON, Bundles, services v1

This document will detail all work happening in Tasks 4.3-4.5

Report on CHAMELEON Pilot Campaign Plan and Evaluation Methodology

This report will detail guidelines and the initial integration tests needed for providing the necessary feedback for the Pilot installation and realization. This deliverable will include the outcomes of T6.1

ADSS visualization and user interface v1

This document will detail all work happening in Tasks 4.6

Integration with CHAMELEON drone ecosystem v1

This document will detail all work happening in Task 5.4 until month 17

CHAMELEON technical requirement and system architecture v1

Specifies in detail the procedure for achieving holistic drones and remote piloted aircraft systems as multi-purpose vehicle in farming, forestry, and rural areas. This document will detail all work happening in Task2.2 and Task 2.4 on month 11

CHAMELEON Innovation platform and data governance plan v1

This document will detail all work happening in Task 5.1 and 5.2. The task starts earlier in the development phase and end latter than the other technological task as it must guarantee the ability to add services and bundles in the CHAMELEON STORE

Market Shaping, Scale-up Business Models and Socio-Economic Impact v1

The first periodic report of Market Shaping, Scale-up Business Models and Socio-Economic Impact. These deliverable will present the outcomes of T7.1 and T7.2 on M18

CHAMELEON store, brokering and matchmaking v1

This document will detail all work happening in Task 5.3 until M17

CHAMELEON conceptualisation, and use cases definition v1

Definition management along with the ability to re-utilise available means from the demonstration phases of the CHAMELEON Solution. This document will detail all work happening in Task2.1 and Task 2.3 on month 8.

Chameleon on-boarding v1

This document will detail all work happening in Tasks 4.2

CHAMELEON Plug-n-play platform v1

This document will detail all work happening in Tasks 4.1

CHAMELEON Outreach, Dissemination, Standardisation and Communication Activities v1

A periodic report of the CHAMELEON Outreach, Dissemination, Standardisation and Communication Activities. These deliverable will present the outcomes of T7.3, T7.4 and T7.5 on M12

Websites, patent fillings, videos etc. (1)

CHAMELEON Communication and Dissemination Strategy and Plan

Report at CHAMELEON Communication and Dissemination Strategy and Plan.This deliverable will provide the plans for T7.5

Pubblicazioni

Conference proceedings (1)

Unmanned Aerial Vehicles and Livestock Management: An Application in Western Crete

Autori: Nikolaos Sarantinoudis; George Arampatzis; Kimon P. Valavanis; Nikos Tsourveloudis
Pubblicato in: 2023, ISSN 2575-7296
Editore: IEEE
DOI: 10.1109/ICUAS57906.2023.10155900

Peer reviewed articles (10)

Structural Component Phenotypic Traits from Individual Maize Skeletonization by UAS-Based Structure-from-Motion Photogrammetry

Autori: Monica Herrero-Huerta; Diego Gonzalez-Aguilera; Yang Yang
Pubblicato in: Drones, 2023, ISSN 2504-446X
Editore: MDPI
DOI: 10.3390/drones7020108

Automatic Processing for Identification of Forest Fire Risk Areas along High-Voltage Power Lines Using Coarse-to-Fine LiDAR Data

Autori: David Hernández-López, Jorge López-Rebollo, Miguel A. Moreno, Diego Gonzalez-Aguilera
Pubblicato in: Forests, Numero 14, 2023, ISSN 1999-4907
Editore: MDPI AG
DOI: 10.3390/F14040662

High-Density UAV-LiDAR in an Integrated Crop-Livestock-Forest System: Sampling Forest Inventory or Forest Inventory Based on Individual Tree Detection (ITD)

Autori: 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
Pubblicato in: Drones, Numero 6, 2024, ISSN 2504-446X
Editore: MDPI AG
DOI: 10.3390/DRONES6020048

Using Drones to Estimate and Reduce the Risk of Wildfire Propagation in Wildland–Urban Interfaces

Autori: Osvaldo Santos, Natércia Santos
Pubblicato in: Applied System Innovation, Numero 8, 2025, ISSN 2571-5577
Editore: MDPI AG
DOI: 10.3390/ASI8030062

Structural Component Phenotypic Traits from Individual Maize Skeletonization by UAS-Based Structure-from-Motion Photogrammetry

Autori: Monica Herrero-Huerta, Diego Gonzalez-Aguilera, Yang Yang
Pubblicato in: Drones, Numero 7, 2023, ISSN 2504-446X
Editore: MDPI AG
DOI: 10.3390/DRONES7020108

BVLOS Unmanned Aircraft Operations in Forest Environments

Autori: Robin John ap Lewis Hartley, Isaac Levi Henderson, Chris Lewis Jackson
Pubblicato in: Drones, Numero 6, 2025, ISSN 2504-446X
Editore: MDPI AG
DOI: 10.3390/DRONES6070167

Radiometric Improvement of Spectral Indices Using Multispectral Lightweight Sensors Onboard UAVs

Autori: Paula Andrés-Anaya, Adolfo Molada-Tebar, David Hernández-López, Miguel Ángel Moreno, Diego González-Aguilera, Mónica Herrero-Huerta
Pubblicato in: Drones, Numero 8, 2025, ISSN 2504-446X
Editore: MDPI AG
DOI: 10.3390/DRONES8020036

A Novel Drone Design Based on a Reconfigurable Unmanned Aerial Vehicle for Wildfire Management

Autori: Dimitris Perikleous, George Koustas, Spyros Velanas, Katerina Margariti, Pantelis Velanas, Diego Gonzalez-Aguilera
Pubblicato in: Drones, Numero 8, 2024, ISSN 2504-446X
Editore: MDPI AG
DOI: 10.3390/DRONES8050203

Identifying Tree Species in a Warm-Temperate Deciduous Forest by Combining Multi-Rotor and Fixed-Wing Unmanned Aerial Vehicles

Autori: Weibo Shi, Shaoqiang Wang, Huanyin Yue, Dongliang Wang, Huping Ye, Leigang Sun, Jia Sun, Jianli Liu, Zhuoying Deng, Yuanyi Rao, Zuoran Hu, Xiyong Sun
Pubblicato in: Drones, Numero 7, 2025, ISSN 2504-446X
Editore: MDPI AG
DOI: 10.3390/DRONES7060353

Aerial-Drone-Based Tool for Assessing Flood Risk Areas Due to Woody Debris Along River Basins

Autori: Innes Barbero-García, Diego Guerrero-Sevilla, David Sánchez-Jiménez, Ángel Marqués-Mateu, Diego González-Aguilera
Pubblicato in: Drones, Numero 9, 2025, ISSN 2504-446X
Editore: MDPI AG
DOI: 10.3390/DRONES9030191

Book chapters (1)

Vineyard Leaf Disease Prediction: Bridging the Gap Between Predictive Accuracy and Interpretability

Autori: Noor E. Mobeen, Sarang Shaikh, Livinus Obiora Nweke, Mohamed Abomhara, Sule Yildirim Yayilgan, Muhammad Fahad
Pubblicato in: Advances in Intelligent Systems and Computing, New Trends in Disruptive Technologies, Tech Ethics, and Artificial Intelligence, 2024
Editore: Springer Nature Switzerland
DOI: 10.1007/978-3-031-66635-3_9