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CORDIS - Forschungsergebnisse der EU
CORDIS

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.

CORDIS bietet Links zu öffentlichen Ergebnissen und Veröffentlichungen von HORIZONT-Projekten.

Links zu Ergebnissen und Veröffentlichungen von RP7-Projekten sowie Links zu einigen Typen spezifischer Ergebnisse wie Datensätzen und Software werden dynamisch von OpenAIRE abgerufen.

Leistungen

CHAMELEON, Bundles, services v1 (öffnet in neuem Fenster)

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

Report on CHAMELEON Pilot Campaign Plan and Evaluation Methodology (öffnet in neuem Fenster)

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 (öffnet in neuem Fenster)

This document will detail all work happening in Tasks 4.6

Integration with CHAMELEON drone ecosystem v1 (öffnet in neuem Fenster)

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

CHAMELEON technical requirement and system architecture v1 (öffnet in neuem Fenster)

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 (öffnet in neuem Fenster)

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 (öffnet in neuem Fenster)

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 (öffnet in neuem Fenster)

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

CHAMELEON conceptualisation, and use cases definition v1 (öffnet in neuem Fenster)

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 (öffnet in neuem Fenster)

This document will detail all work happening in Tasks 4.2

CHAMELEON Plug-n-play platform v1 (öffnet in neuem Fenster)

This document will detail all work happening in Tasks 4.1

CHAMELEON Outreach, Dissemination, Standardisation and Communication Activities v1 (öffnet in neuem Fenster)

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

CHAMELEON Communication and Dissemination Strategy and Plan (öffnet in neuem Fenster)

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

Veröffentlichungen

Unmanned Aerial Vehicles and Livestock Management: An Application in Western Crete (öffnet in neuem Fenster)

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

Structural Component Phenotypic Traits from Individual Maize Skeletonization by UAS-Based Structure-from-Motion Photogrammetry (öffnet in neuem Fenster)

Autoren: Monica Herrero-Huerta; Diego Gonzalez-Aguilera; Yang Yang
Veröffentlicht in: Drones, 2023, ISSN 2504-446X
Herausgeber: 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 (öffnet in neuem Fenster)

Autoren: David Hernández-López, Jorge López-Rebollo, Miguel A. Moreno, Diego Gonzalez-Aguilera
Veröffentlicht in: Forests, Ausgabe 14, 2023, ISSN 1999-4907
Herausgeber: 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) (öffnet in neuem Fenster)

Autoren: 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
Veröffentlicht in: Drones, Ausgabe 6, 2024, ISSN 2504-446X
Herausgeber: MDPI AG
DOI: 10.3390/DRONES6020048

Using Drones to Estimate and Reduce the Risk of Wildfire Propagation in Wildland–Urban Interfaces (öffnet in neuem Fenster)

Autoren: Osvaldo Santos, Natércia Santos
Veröffentlicht in: Applied System Innovation, Ausgabe 8, 2025, ISSN 2571-5577
Herausgeber: MDPI AG
DOI: 10.3390/ASI8030062

Structural Component Phenotypic Traits from Individual Maize Skeletonization by UAS-Based Structure-from-Motion Photogrammetry (öffnet in neuem Fenster)

Autoren: Monica Herrero-Huerta, Diego Gonzalez-Aguilera, Yang Yang
Veröffentlicht in: Drones, Ausgabe 7, 2023, ISSN 2504-446X
Herausgeber: MDPI AG
DOI: 10.3390/DRONES7020108

BVLOS Unmanned Aircraft Operations in Forest Environments (öffnet in neuem Fenster)

Autoren: Robin John ap Lewis Hartley, Isaac Levi Henderson, Chris Lewis Jackson
Veröffentlicht in: Drones, Ausgabe 6, 2025, ISSN 2504-446X
Herausgeber: MDPI AG
DOI: 10.3390/DRONES6070167

Radiometric Improvement of Spectral Indices Using Multispectral Lightweight Sensors Onboard UAVs (öffnet in neuem Fenster)

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

A Novel Drone Design Based on a Reconfigurable Unmanned Aerial Vehicle for Wildfire Management (öffnet in neuem Fenster)

Autoren: Dimitris Perikleous, George Koustas, Spyros Velanas, Katerina Margariti, Pantelis Velanas, Diego Gonzalez-Aguilera
Veröffentlicht in: Drones, Ausgabe 8, 2024, ISSN 2504-446X
Herausgeber: 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 (öffnet in neuem Fenster)

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

Aerial-Drone-Based Tool for Assessing Flood Risk Areas Due to Woody Debris Along River Basins (öffnet in neuem Fenster)

Autoren: Innes Barbero-García, Diego Guerrero-Sevilla, David Sánchez-Jiménez, Ángel Marqués-Mateu, Diego González-Aguilera
Veröffentlicht in: Drones, Ausgabe 9, 2025, ISSN 2504-446X
Herausgeber: MDPI AG
DOI: 10.3390/DRONES9030191

Vineyard Leaf Disease Prediction: Bridging the Gap Between Predictive Accuracy and Interpretability (öffnet in neuem Fenster)

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

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