Flexible robots for intelligent automation of precision agriculture operations

CORDIS fournit des liens vers les livrables publics et les publications des projets HORIZON.

Les liens vers les livrables et les publications des projets du 7e PC, ainsi que les liens vers certains types de résultats spécifiques tels que les jeux de données et les logiciels, sont récupérés dynamiquement sur OpenAIRE .

Livrables

Pilot 1 assessment

D4.4 Pilot 1 assessment (SERESCO, R, PU, M36) – T4.4A document analyzing the evaluation and assessment of the pilot based on the results of the testing and use of the demonstrators, as well as the ethical assessment.

Pilot 3 assessment

D6.4 Pilot 3 assessment (ART, R, PU, M36) – T6.4A document analysing the evaluation and assessment of the pilot based on the results of the testing and use of the demonstrators, as well as the ethical assessment

Report on ethical AI in Agri-Food

D7.7 Report on ethical AI in Agri-Food (CEPS, R, PU, M36) - T7.6. A consolidated synopsis report containing horizontal lessons learned and recommendations, to be distributed via different online communication channels and a dedicated event.

Communication report final

D7.8 Communication report final (ATOS, R, PU, M36) - T7.2. Updated version of D7.2. with special focus on KPI reporting.

Pilot 2 Technical report on the demonstrator-specific components

D5.2 Pilot 2 Technical report on the demonstrator-specific components (PRO, R, PU, M27) – T5.2 A document compiling the technical description of all the pilot-specific components and the information required for their integration and deployment.

Pilot 2 Demonstrator integration, testing and deployment

D5.3 Pilot 2 Demonstrator integration, testing and deployment (LUKE, R, PU, M34) – T5.3 A document describing the in-field deployment of the pilot. It will also describe the integration of the software components and services developed in the task T5.2. The document will include the tests and results of the deployment and demonstrators.

Communication report 2

D7.8 Communication report 2 (ATOS, R, PU, M24) - T7.2. Updated version of D7.2. with special focus on KPI reporting.

Stakeholder view to FlexiGroBots system scenarios

D2.1 Stakeholder view to FlexiGroBots system scenarios (VTT, R, PU, M9) – T2.1It shall describe what the stakeholders will expect from FlexiGroBots based robot fleet operations in pilot use cases both from technical and business perspectives. The deliverable formulates the end-user views to the requirement setting and the validation planning.

Project sustainability and long-term operation plan Final

D7.6 Project sustainability and long-term operation plan Final (SER, R, PU, M36) - T7.5. This deliverable, with two editions, will include the design of an ambitious plan for the sustainability and long-term operation of the solutions developed within the project, focusing on ensuring pilot operations beyond the scope of the project.

Standardisation activities report 1

D2.3 Standardisation activities report 1 (CSIC, R, PU, M18) – T2.3Gathering the information on current standards both on robotics and on agriculture, with the expertise developed along the first phases of the project, proposals on how normative should be adapted.

Pilot 3 objectives, requirements and design

D6.1 Pilot 3 objectives, requirements and design (BIO, R, PU, M12) – T6.1A report documenting the plan for the development of the pilot. The document will also collect all functional and non-functional requirements of the pilot for all the components involved and including not only software components but also robots and UAVs. The document will include the detailed description of the system architecture and elaboration of pilot-specific user requirements, technical possibilities and field constraints.

Pilot 2 assessment

D5.4 Pilot 2 assessment (MTE, R, PU, M36) – T5.4 A document analysing the evaluation and assessment of the pilot based on the results of the testing and use of the demonstrators, as well as the ethical assessment.

Technology transfer report

D7.5 Technology transfer report (BIO, R, PU, M34) - T7.4. This deliverable consists of a consolidated report on pilot demonstration activities, their results, and technology transfer requirements and procedures, made in respect to D1.3 and D7.3.

Communication Plan and Communication Kit

D7.2 Communication Plan and Communication Kit (ATOS, R, PU, M6) - T7.2. This deliverable will consist of a detailed plan for ongoing project communication activities, partner roles and performance KPIs. A first analysis of target audiences will be provided. In addition, a communication kit will be provided, including a project visual identity book, website, blog, social media accounts, promotional materials, and document templates.

ELSE factor analysis and guidelines

D24 ELSE factor analysis and guidelines CEPS R PU M18 T24ELSE factor analysis and guidelines in form of a report and a public post on the AI4EU observatory

Pilot 1 Demonstrator integration, testing and deployment

D4.3 Pilot 1 Demonstrator integration, testing and deployment (SERESCO, R, PU, M34) – T4.3A document describing the in-field deployment of the UGVs, UAVs, software components of the FlexiGroBots and software demonstrator. It will also describe the integration of the software components and services developed in the task T4.2. The document will include the tests and results of the deployment and demonstrators.

Pilot 1 Technical report on the demonstrator-specific components

D4.2 Pilot 1 Technical report on the demonstrator-specific components (CSIC, R, PU, M27) – T4.2A document compiling the technical description of all the demonstrator-specific components and the information required for their integration and deployment.

Pilot 3 Demonstrator integration, testing and deployment

D6.3 Pilot 3 Demonstrator integration, testing and deployment (ART, R, PU, M34) – T6.3A document describing the in-field deployment of the UGVs, UAVs, software components of the FlexiGroBots and software demonstrators. It will also describe the integration of the software components and services developed in the task T6.2. The document will include the tests and results of the deployment and demonstrators.

Business modelling and commercial exploitation report final

D7.3 Business modelling and commercial exploitation report final (AFL, R, PU, M36) - T7.3. A strategy report detailing the results of business modelling, opportunity exploration and new product and service commercialization planning activities, to be distributed via different online communication channels and among interested prospective end-customers, industry representatives and public stakeholders.

Requirements and platform architecture specifications Final

D2.2 Requirements and platform architecture specifications Final (ATOS, R, PU, M18) – T2.2. This deliverable will include stakeholder, system and technology (i.e. software) specifications as defined by ISO/IEC/IEEE 29148:2011 and IEC 62559. It will also include the architecture framework (set of viewpoints) compliant with ISO/IEC 42010 and the corresponding architecture descriptions or views.

Pilot 3 Technical report on the demonstrator-specific components

D6.2 Pilot 3 Technical report on the demonstrator-specific components (BIO, R, PU, M27) – T6.2A document compiling the technical description of all the demonstrator-specific components and the information required for their integration and deployment.

Communication report 1

D78 Communication report 1 ATOS R PU M12 T72 Updated version of D72 with special focus on KPI reporting

Dissemination Plan

D71 Dissemination Plan WUR R PU M6 T71 It will set the project result dissemination plan and designate practical actions partners roles in their implementation and KPIs for assessing the impact of proposed measures

Pilot 1 objectives, requirements and design

D4.1 Pilot 1 objectives, requirements and design (SERESCO, R, PU, M12) – T4.1A report documenting the plan for the development of the pilot. The document will also collect all functional and non-functional requirements of the pilot for all the components involved and including not only software components but also robots and UAVs. The design will be part of this document, describing the architecture of the solution and the design of the components that will developed for the pilot.

Requirements and platform architecture specifications 1

D22 Requirements and platform architecture specifications ATOS R PU M12 T22 This deliverable will include stakeholder system and technology ie software specifications as defined by ISOIECIEEE 291482011 and IEC 62559 It will also include the architecture framework set of viewpoints compliant with ISOIEC 42010 and the corresponding architecture descriptions or views

Methodology for virtual pilot demonstration

D7.4 Methodology for virtual pilot demonstration (BIO, R, PU, M30) - T7.4. A methodology report on virtual demonstrations for on-site robotic pilots using innovative digital streaming, visualisation and interactive engagement solutions.

Pilot alignment and joint assessment report 1

D2.5 Pilot alignment and joint assessment report 1 (ATOS, R, PU, M12) – T2.5. This is a series of yearly reports on the global status and results obtained by the different pilots, which are development by independent teams in different WPs.

Pilot alignment and joint assessment report Final

D2.5 Pilot alignment and joint assessment report Final (ATOS, R, PU, M36) – T2.5. This is a series of yearly reports on the global status and results obtained by the different pilots, which are development by independent teams in different WPs.

Pilot 2 objectives, requirements and design

D5.1 Pilot 2 objectives, requirements and design (LUKE, R, PU, M12) – T5.1 A report documenting the plan for the development of the pilot. The document will also collect all functional and non-functional requirements of the pilot for all the components involved. The document will describe the system architecture and the design of the pilot specific components.

Business modelling and commercial exploitation report 1

D7.3 Business modelling and commercial exploitation report 1 (AFL, R, PU, M24) - T7.3. A strategy report detailing the results of business modelling, opportunity exploration and new product and service commercialization planning activities, to be distributed via different online communication channels and among interested prospective end-customers, industry representatives and public stakeholders.

Standardisation activities report Final

D2.3 Standardisation activities report Final (CSIC, R, PU, M36) – T2.3Gathering the information on current standards both on robotics and on agriculture, with the expertise developed along the first phases of the project, proposals on how normative should be adapted.

Pilot alignment and joint assessment report 2

D2.5 Pilot alignment and joint assessment report 2 (ATOS, R, PU, M24) – T2.5. This is a series of yearly reports on the global status and results obtained by the different pilots, which are development by independent teams in different WPs.

FlexiGroBots Platform v2

D3.2 FlexiGroBots Platform v2 (ATOS, OTH, PU, M24) – T3.1-T3.5Second version of FlexiGroBots digital platform and services together with a report providing details on the implementation and deployment activities.

FlexiGroBots Platform v3

D3.3 FlexiGroBots Platform v3 (ATOS, OTH, PU, M36) – T3.1-T3.5Third and final version of FlexiGroBots digital platform and services together with a report providing details on the implementation and deployment activities.

FlexiGroBots Platform v1

D3.1 FlexiGroBots Platform v1 (ATOS, OTH, PU, M12) – T3.1-T3.5First version of FlexiGroBots digital platform and services together with a report providing details on the implementation and deployment activities.

Publications

Automation in Agriculture. Chapter in book Encyclopedia of Smart Agriculture Technologies

Auteurs: Karouta, Jeremy JH, and Angela Ribeiro.
Publié dans: Encyclopedia of Smart Agriculture Technologies p, 2023, Page(s) 41640, ISBN 978-3-030-89123-7
Éditeur: Springer
DOI: 10.1007/978-3-030-89123-7_226-1

Autonomous Platforms

Auteurs: Jeremy J. H. Karouta, Angela Ribeiro
Publié dans: Agriculture Automation and Control, Advanced Automation for Tree Fruit Orchards and Vineyards, 2023, Page(s) 175-194
Éditeur: Springer International Publishing
DOI: 10.1007/978-3-031-26941-7_8

Connecting Different Drone Operations with the Farm Robotic Management

Auteurs: Jere Kaivosoja, Kari Kolehmainen, Oskar Marko, Ari Ronkainen, Nina Pajević, Marko Panić, Sergio Vélez, Mar Ariza-Sentis, João Valente, Juha-Pekka Soininen
Publié dans: New Developments and Environmental Applications of Drones, 2024, Page(s) 33-41
Éditeur: Springer Nature Switzerland
DOI: 10.1007/978-3-031-44607-8_2

Advances in connectivity and distributed intelligence in agricultural robotics

Auteurs: null null, Liisa Pesonen, Daniel Calvo Alonso, null null, Juha Backman, null null, Jere Kaivosoja, null null, Jarmi Recio Martinez, null null, Juha-Pekka Soininen, null null
Publié dans: Burleigh Dodds Series in Agricultural Science, Advances in agri-food robotics, 2024, Page(s) 223-262
Éditeur: Burleigh Dodds Science Publishing
DOI: 10.19103/as.2023.0124.14

Blueberry Row Detection Based on UAV Images for Inferring the Allowed UGV Path in the Field

Auteurs: Dimitrije Stefanović, Aleksandar Antić, Marko Otlokan, Bojana Ivošević, Oskar Marko, Vladimir Crnojević, Marko Panić
Publié dans: Lecture Notes in Networks and Systems, ROBOT2022: Fifth Iberian Robotics Conference, 2022, Page(s) 401-411
Éditeur: Springer International Publishing
DOI: 10.1007/978-3-031-21062-4_33

Advances in connectivity and distributed intelligence in agricultural robotics

Auteurs: Liisa Pesonen, Daniel Calvo Alonso, Juha Backman, Jere Kaivosoja, Jarmi Recio Martinez, Juha-Pekka Soininen
Publié dans: 2023
Éditeur: Burleigh Dodds Science

Towards Automated UAV Image Processing Workflows in Precision Viticulture: Challenges and Benefits

Auteurs: Sergio Vélez, Mar Ariza-Sentís, João Valente
Publié dans: Lecture Notes in Networks and Systems, ROBOT2022: Fifth Iberian Robotics Conference, 2022, Page(s) 451-462
Éditeur: Springer International Publishing
DOI: 10.1007/978-3-031-21062-4_37

BBR: An open-source standard workflow based on biophysical crop parameters for automatic Botrytis cinerea assessment in vineyards

Auteurs: Mar Ariza, Sergio Vélez, João Valente
Publié dans: SoftwareX, 2023, ISSN 2352-7110
Éditeur: Elsevier
DOI: 10.1016/j.softx.2023.101542

GrapeMOTS: UAV vineyard dataset with MOTS grape bunch annotations recorded from multiple perspectives for enhanced object detection and tracking

Auteurs: Mar Ariza-Sentís, Kaiwen Wang, Zhen Cao, Sergio Vélez, João Valente
Publié dans: Data in Brief, Numéro 54, 2024, Page(s) 110432, ISSN 2352-3409
Éditeur: Elsevier BV
DOI: 10.1016/j.dib.2024.110432

Speeding up UAV-based crop variability assessment through a data fusion approach using spatial interpolation for site-specific management

Auteurs: Sergio Vélez, Mar Ariza-Sentís, Marko Panić, Bojana Ivošević, Dimitrije Stefanović, Jere Kaivosoja, João Valente
Publié dans: Smart Agricultural Technology, Numéro 8, 2024, Page(s) 100488, ISSN 2772-3755
Éditeur: Elsevier
DOI: 10.1016/j.atech.2024.100488

Comparing Nadir and Oblique Thermal Imagery in UAV-Based 3D Crop Water Stress Index Applications for Precision Viticulture with LiDAR Validation

Auteurs: Thomas Buunk, Sergio Vélez, Mar Ariza-Sentís, João Valente
Publié dans: Sensors, 2023, ISSN 1424-8220
Éditeur: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/s23208625

An aerial framework for Multi-View grape bunch detection and route Optimization using ACO

Auteurs: Mar Ariza-Sentís, Sergio Vélez, Hilmy Baja, Roberto G. Valenti, João Valente
Publié dans: Computers and Electronics in Agriculture, Numéro 221, 2024, Page(s) 108972, ISSN 0168-1699
Éditeur: Elsevier BV
DOI: 10.1016/j.compag.2024.108972

Object detection and tracking on UAV RGB videos for early extraction of grape phenotypic traits

Auteurs: Mar Ariza-Sentís, Hilmy Baja, Sergio Vélez, João Valente
Publié dans: Computers and Electronics in Agriculture, 2023, ISSN 0168-1699
Éditeur: Elsevier BV
DOI: 10.1016/j.compag.2023.108051

Precision farming technologies for crop protection: A meta-analysis

Auteurs: Evangelos Anastasiou, Spyros Fountas, Matina Voulgaraki, Vasilios Psiroukis, Michael Koutsiaras, Olga Kriezi, Erato Lazarou, Anna Vatsanidou, Longsheng Fu, Fabiola Di Bartolo, Jesus Barreiro-Hurle, Manuel Gómez-Barbero
Publié dans: Smart Agricultural Technology, Numéro 5, 2024, Page(s) 100323, ISSN 2772-3755
Éditeur: Elsevier
DOI: 10.1016/j.atech.2023.100323

Object detection and tracking in Precision Farming: a systematic review

Auteurs: Mar Ariza-Sentís, Sergio Vélez, Raquel Martínez-Peña, Hilmy Baja, João Valente
Publié dans: Computers and Electronics in Agriculture, Numéro Volume 219, April 2024, 2024, ISSN 0168-1699
Éditeur: Elsevier BV
DOI: 10.1016/j.compag.2024.108757

VineLiDAR: High-resolution UAV-LiDAR vineyard dataset acquired over two years in northern Spain

Auteurs: Sergio Vélez, Mar Ariza-Sentís, João Valente
Publié dans: Data in Brief, 2023, ISSN 2352-3409
Éditeur: Elsevier BV
DOI: 10.1016/j.dib.2023.109686

Fostering Agricultural Transformation through AI: An Open-Source AI Architecture Exploiting the MLOps Paradigm

Auteurs: Antonio Carlos Cob-Parro, Yerhard Lalangui, Raquel Lazcano
Publié dans: Agronomy, Special Numéro Data-Driven Agriculture: Remote Sensing and Machine Learning for Sustainable Farming Practices, Numéro Agronomy 2024, 14(2), 259, 2024, Page(s) 259, ISSN 2073-4395
Éditeur: MDPI
DOI: 10.3390/agronomy14020259

Mapping the spatial variability of Botrytis bunch rot risk in vineyards using UAV multispectral imagery

Auteurs: Sergio Vélez, Mar Ariza-Sentís, João Valente
Publié dans: European Journal of Agronomy, 2022, ISSN 1161-0301
Éditeur: Elsevier BV
DOI: 10.1016/j.eja.2022.126691

Dataset on unmanned aerial vehicle multispectral images acquired over a vineyard affected by Botrytis cinerea in northern Spain

Auteurs: Sergio Vélez, Mar Ariza-Sentís, João Valente
Publié dans: Data in Brief, 2023, ISSN 2352-3409
Éditeur: Elsevier BV
DOI: 10.1016/j.dib.2022.108876

Dataset on UAV RGB videos acquired over a vineyard including bunch labels for object detection and tracking

Auteurs: Mar Ariza-Sentís, Sergio Vélez, João Valente
Publié dans: Data in Brief, 2023, ISSN 2352-3409
Éditeur: Elsevier BV
DOI: 10.1016/j.dib.2022.108848

Simulation Based Performance Evaluation of FIWARE IoT Platform for Smart Agriculture

Auteurs: Kari Kolehmainen, Marco Pirazzi, Juha-Pekka Soininen, Juha Backman
Publié dans: Proceedings of the 8th International Conference on Internet of Things, Big Data and Security, 2023
Éditeur: SCITEPRESS - Science and Technology Publications
DOI: 10.5220/0011918700003482

Benchmarking the Reliability of Sentinel-2 Satellite Data for Estimating Vineyard NDVI and Leaf Area Index Parameters through UAV LiDAR and Multispectral Imagery

Auteurs: Sergio Vélez, Mar Ariza-Sentís, João Valente
Publié dans: ECRS 2023, 2024
Éditeur: MDPI
DOI: 10.3390/ecrs2023-15859

Bush Detection for Vision-based UGV Guidance in Blueberry Orchards: Data Set and Methods

Auteurs: Vladan Filipović, Dimitrije Stefanović, Nina Pajević, Željana Grbović, Nemanja Djuric, Marko Panić
Publié dans: 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2023
Éditeur: IEEE
DOI: 10.1109/cvprw59228.2023.00372

Optimised Routing of the Blueberry Cultivating Unmanned Ground Vehicle

Auteurs: Nikola Obrenović, Maksim Lalić, Dimitrije Stefanović, Marko Panić, Sanja Brdar, Vladimir Crnojević, and Oskar Marko
Publié dans: 2023
Éditeur: Proceedings of the 17th International Symposium on Operations Research in Slovenia, Bled, Slovenia, September 20-22

Collaborative Harvest Robot

Auteurs: Maria Nuria Conejero, Hector Montes, Dionisio Andujar, Jose Maria Bengochea-Guevara, and Angela Ribeiro
Publié dans: Lecture Notes in Networks and Systems, 2022, ISBN 978-3-031-21061-7
Éditeur: Springer
DOI: 10.1007/978-3-031-21062-4_34

Efficient Assessment of Crop Spatial Variability Using UAV Imagery: A Geostatistical Approach

Auteurs: Sergio Vélez, Mar Ariza-Sentís, João Valente
Publié dans: ECRS 2023, 2024
Éditeur: MDPI
DOI: 10.3390/ecrs2023-16643

NeRFLight: Fast and Light Neural Radiance Fields using a Shared Feature Grid

Auteurs: Fernando Rivas-Manzaneque, Jorge Sierra-Acosta, Adrian Penate-Sanchez, Francesc Moreno-Noguer, Angela Ribeiro
Publié dans: 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023
Éditeur: IEEE
DOI: 10.1109/cvpr52729.2023.01195

Small robot for localized spraying using ISOBUS protocol

Auteurs: Jose M. Bengochea-Guevara1, Fernando J. Jimenez-Pinto, Dionisio Andujar, Hector Montes, Angela Ribeiro
Publié dans: 2023
Éditeur: ECPA

134. Collaborative smart-robot for yield mapping and harvesting assistance

Auteurs: M.N. Conejero, H. Montes, D. Andujar, J.M. Bengochea-Guevara, E. Rodríguez, A. Ribeiro
Publié dans: Precision agriculture ’23, 2023
Éditeur: Wageningen Academic Publishers
DOI: 10.3920/978-90-8686-947-3_134

1. Grape counting in RGB videos – comparing two instance segmentation models

Auteurs: M. Ariza-Sentís, S. Vélez, H. Baja, J. Valente
Publié dans: Precision agriculture ’23, 2023
Éditeur: Wageningen Academic Publishers
DOI: 10.3920/978-90-8686-947-3_1

Improving Up-Close Remote Sensing of Occluded Areas in Vineyards through Customized Multiple-Unmanned-Aerial-Vehicle Path Planning

Auteurs: Mar Ariza-Sentís, Sergio Vélez, Roberto G. Valenti, João Valente
Publié dans: ECRS 2023, 2024
Éditeur: MDPI
DOI: 10.3390/ecrs2023-15857

Building a Robot Tractor Using Commercial Components and Widely Used Standards

Auteurs: Juha Backman; Raimo Linkolehto; Madis Lemsalu; Jere Kaivosoja
Publié dans: IFAC-PapersOnLine, Numéro 1, 2022
Éditeur: IFAC-PapersOnLine
DOI: 10.1016/j.ifacol.2022.11.106

Agro Smart

Auteurs: Biosense & Zeleni hit
Publié dans: 2021
Éditeur: BIO, ZEL

Tanjug media agency

Auteurs: Biosense & Zeleni hit
Publié dans: 2021
Éditeur: BIO, ZEL

Radio Television of Vojvodina - online portal

Auteurs: Biosense & Zeleni hit
Publié dans: 2021
Éditeur: BIO, ZEL

Naslovi.net—general news portal

Auteurs: Biosense & Zeleni hit
Publié dans: 2021
Éditeur: BIO, ZEL

Agrofin

Auteurs: Biosense & Zeleni hit
Publié dans: 2021
Éditeur: BIO, ZEL

Late Botrytis TERRAS 2021

Auteurs: Ángela Ribeiro Seijas, José Maria Bengochea-Guevara, Mariano Todeschini, Dionisio Andújar
Publié dans: Digital CSIC, 2021
Éditeur: CSIC
DOI: 10.20350/digitalcsic/14011

MOTS-annotated UAV Vineyard Dataset captured using Multiple Perspectives to avoid Leaf Occlusion for Object Detection and Tracking

Auteurs: Mar Ariza-Sentís, Kaiwen Wang, Zhen Cao, Sergio Vélez, João Valente
Publié dans: Zenodo, Numéro February 7, 2024, 2024
Éditeur: Wageningen University & Research

Nieuwe Oogst

Auteurs: WU
Publié dans: 2021
Éditeur: WU

Vest.rs—general news portal

Auteurs: Biosense & Zeleni hit
Publié dans: 2021
Éditeur: BIO, ZEL

Early Botrytis in Terras Gauda 2021

Auteurs: João Valente, Mar Ariza-Sentís
Publié dans: Zenodo, 2021
Éditeur: WU
DOI: 10.5281/zenodo.5654707

Agro TV

Auteurs: Biosense & Zeleni hit
Publié dans: 2021
Éditeur: BIO, ZEL

Poljoprivrednik (print and online media)

Auteurs: Biosense & Zeleni hit
Publié dans: 2021
Éditeur: BIO, ZEL

Extensius.cat

Auteurs: WU
Publié dans: 2022
Éditeur: WU

Krila severa—general news portal

Auteurs: Biosense & Zeleni hit
Publié dans: 2021
Éditeur: BIO, ZEL

inSTORE

Auteurs: Biosense & Zeleni hit
Publié dans: 2021
Éditeur: BIO, ZEL

Precision viticulture dataset for detailed vineyard mapping composed of geotagged smartphone ground images, phytosanitary status, UAV orthomosaics, 3D point clouds, and RTK GNSS data - Northern Spain, July 2022

Auteurs: Sergio Vélez, Mar Ariza-Sentí, João Valente
Publié dans: Zenodo, Numéro December 12, 2023, 2024
Éditeur: Wageningen University & Research
DOI: 10.5281/zenodo.10362567

FlexiGroBots - Blueberry orchard UAV dataset

Auteurs: Ivošević Bojana, Grbović Željana, Stefanović Dimitrije, Filipović Vladan, Antić Aleksandar, Pajević Nina, Marko Oskar, Panić Marko
Publié dans: Zenodo, 2021
Éditeur: BIO
DOI: 10.5281/zenodo.5712792

Poljosfera

Auteurs: Biosense & Zeleni hit
Publié dans: 2021
Éditeur: BIO, ZEL

eKapija—general news portal

Auteurs: Biosense & Zeleni hit
Publié dans: 2021
Éditeur: BIO, ZEL

FlexiGroBots - Blueberry UAV Hyperspectral Dataset

Auteurs: ART21, JSC
Publié dans: Zenodo, 2022
Éditeur: ART21
DOI: 10.5281/zenodo.6457533

24SEDAM

Auteurs: Biosense & Zeleni hit
Publié dans: 2021
Éditeur: BIO, ZEL

Agro News

Auteurs: Biosense & Zeleni hit
Publié dans: 2021
Éditeur: BIO, ZEL

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