Field -testing and demonstration of digital and space based technologies with agro-ecological and organic practices in systemic innovation

Livrables

Dissemination and communication activities [1]

Report on dissemination and communication strategy along with performed activities M1M12 Living updated document Associated Task T61 To be updated in M24 and M36

Pre-pilot DST & AOP systemic innovations field testing and optimization under circular economy organic farming

D4.5 Pre-pilot DST & AOP systemic innovations field testing and optimization under circular economy organic farming (R, PU, M30): A report presenting the deployed DST & AOP in preliminary studies in real setting for further optimization in performance and on systemic use. Associated Task: T4.5.

Standardization Activities [2]

A report presenting the standards (principles, practices, guidelines) that PestNu should be align and propose new contributions based on PestNu innovations in collaboration with standardization bodies national, regional and worldwide by M36. Associated Task: T7.4;

Dissemination and communication activities [3]

Report on dissemination and communication strategy along with performed activities. Associated Task: T6.1;

Training Activities [2]

This report presents the physical and digital training activities that will be implemented during the project duration by M36. Associated Task: T6.5;

PestNu digital platform [2]

A report presenting the advanced PestNu digital platform for agroadvisory and business service along the Farm to Fork stakeholders Associated Task T62 To be updated in M36

Clustering activities with EU platforms & agencies [2]

A report presenting the collaboration with Regional, National and EU Agriculture agencies & platforms for creation of protocols through PestNu by M36. Associated Task: T7.3;

Coordination with policy makers and operational groups

This report presents the synergies of PestNu with policy makers and operational groups by M12 Associated Task T72

Dissemination and communication activities [2]

Report on dissemination and communication strategy along with performed activities. Living updated document. Associated Task: T6.1;

Environmental, social and economic sustainability assessment

D5.4 Environmental, social and economic sustainability assessment (R, PU, M36). This report will present the life cycle environmental, social and economic sustainability assessment of the PestNu approaches, technologies and applications. Associated Task: T5.4;

PP organizations and citizens from farm needs and requirements

D12 Public and private institutions and citizens from farm needs and requirements R PU M12 A public report presenting the main user requirements and needs of the public and private institutions and citizens from farm addressed by PestNu project Associated Task T11

DST & AOP systemic innovation prototypes demonstration and validation in operational precision aqua-ponic farming settings

D5.1 DST & AOP systemic innovation prototypes demonstration and validation in operational precision aquaponic farming settings (R, PU, M36): This report will present the demonstration & field-testing of DST & AOP systemic innovations in Aquaponic plant daily practice. Associated Task: T5.1;

Clustering activities with sister projects [2]

A report presenting the complementary actions of PestNu to align its activities with other relevant EU and National projects by M36. Associated Task: T7.1;

Digital and space-based technologies combined with Agro-ecological and Organic practices – batch 1

This deliverable contains a number of 10 practice abstracts which describes the main informationrecommendationpractice that can serve the endusers in their daily practice based on the systemic innovations on digital and Agroecological and Organic sector by M18 Living updated document Associated Task T72

Clustering activities with EU platforms & agencies [1]

A report presenting the collaboration with Regional National and EU Agriculture agencies platforms for creation of protocols through PestNu by M18Living updated document Associated Task T73

Food safety assessment from production to consumption

D5.3 Food safety, nutrition and security sustainability assessment from production to consumption (R, PU, M36): This report will present the ecotoxicological evaluation of pesticide residues, protocols for field-scale assessments of biofertilizers and biostimulants and bioeconomy strategies in line with guidelines for healthy & secure food. Associated Task: T5.3;

Digital and space-based technologies combined with Agro-ecological and Organic practices – batch 2

This deliverable contains a number of 20 practice abstracts, which describes the main information/ rec-ommendation/practice that can serve the end-users in their daily practice based on the systemic innovations on digital and Agro-ecological and Organic sector by M36. Associated Task: T7.2;

Clustering activities with sister projects [1]

A report presenting the complementary actions of PestNu to align its activities M1M12 with other relevant EU and National projects Living updated document Associated Task T71 To be updated in M36

DST & AOP systemic innovation prototypes demonstration and validation in operational open-fields cultivation settings

D5.2 DST & AOP systemic innovation prototypes demonstration and validation in operational open-fields cultivation settings (R, PU, M36): This report will present the demonstration & field-testing of DST & AOP systemic innovations in Aquaponic plant daily practice. Associated Task: T5.2;

Farm to Fork practitioners needs and requirements

D11 Farm to Fork practitioners needs and requirements R PU M6 A public report presenting the main user requirements and needs along the FarmtoFork chain addressed by PestNu project Associated Task T11

Training Activities [1]

This report presents the physical and digital training activities that will be implemented during the project duration by M18 Living updated document Associated Task T65

Feasibility study& benchmarking report for systemic innovations

D13 Feasibility study and benchmarking report R CO M6 The deliverable will report the pilot surveys findings combined with proposed system thinking approaches based on PestNu solutions Associated Task T12

Standardization Activities [1]

A report presenting the standards principles practicesguidelines that PestNu should be align and propose new contributions based on PestNu innovations in collaboration with standardization bodies national regional and worldwide by M18 Living updated document Associated TaskT74

PestNu Digital Platform [1]

A demo presenting the advanced PestNu website which will be deployed as a digital platform for agro-advisory and business service along the Farm to Fork stakeholders. Living updated document. Associated Task: T6.2; To be updated in M 18 and M36

Publications

Enhanced Growth of Bacterial Cells in a Smart 3D Printed Bioreactor

Auteurs: Eleftheria Maria Pechlivani; Sotirios Pemas; Alexandros Kanlis; Paraskevi Pechlivani; Spyros Petrakis; Athanasios Papadimitriou; Dimitrios Tzovaras; Konstantinos E. Hatzistergos
Publié dans: MDPI Micromachines, 2023, ISSN 2072-666X
Éditeur: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/mi14101829

Smartphone-Based Citizen Science Tool for Plant Disease and Insect Pest Detection Using Artificial Intelligence

Auteurs: Panagiotis Christakakis, Garyfallia Papadopoulou, Georgios Mikos, Nikolaos Kalogiannidis, Dimosthenis Ioannidis, Dimitrios Tzovaras, Eleftheria Maria Pechlivani
Publié dans: Technologies, Numéro 12, 2024, Page(s) 101, ISSN 2227-7080
Éditeur: MDPI
DOI: 10.3390/technologies12070101

Continuous nitrite and nitrate monitoring of recirculating aquaculture systems using a deployable ion chromatography‑based analyser

Auteurs: Meritxell Grau Butinyac, Valeria Arenas Montaño, Jamie Downes, Neil M. Ruane, Elizabeth Ryder, Fintan Egan, Thomas Staessen, Brett Paull, Eoin Murray
Publié dans: Aquaculture International, 2023, ISSN 2193-1801
Éditeur: Springer Science and Business Media Deutschland GmbH
DOI: 10.1007/s10499-023-01200-w

Valorization of Tomato Agricultural Waste for 3D-Printed Polymer Composites Based on Poly(lactic acid)

Auteurs: Sotirios Pemas, Dimitrios Gkiliopoulos, Christina Samiotaki, Dimitrios N. Bikiaris, Zoi Terzopoulou, Eleftheria Maria Pechlivani
Publié dans: Polymers, Numéro 16, 2024, Page(s) 1536, ISSN 2073-4360
Éditeur: MDPI
DOI: 10.3390/polym16111536

Exploring the Potential of Biostimulants to Optimize Lettuce Cultivation in Coupled and Decoupled Aquaponics Systems: Growth Performance, Functional Characteristics and Metabolomic Analysis

Auteurs: Eirini Chandrou, Sofia Faliagka, Anastasia Mourantian, Marios Georgios Kollaros, Katerina Karamanoli, Eleftheria-Maria Pechlivani, Nikolaos Katsoulas, Efi Levizou
Publié dans: Horticulturae, Numéro 10, 2024, Page(s) 514, ISSN 2311-7524
Éditeur: MDPI
DOI: 10.3390/horticulturae10050514

Development of a Greenhouse Wastewater Stream Utilization System for On-Site Microalgae-Based Biostimulant Production

Auteurs: Sofia Faliagka, Georgios Kountrias, Eleni Dimitriou, Maria Álvarez-Gil, Mario Blanco-Vieites, Fabio Magrassi, Marta Notari, Eleftheria Maria Pechlivani, Nikolaos Katsoulas
Publié dans: AgriEngineering, Numéro 6, 2024, Page(s) 1898-1923, ISSN 2624-7402
Éditeur: MDPI
DOI: 10.3390/agriengineering6030111

IoT-Based Agro-Toolbox for Soil Analysis and Environmental Monitoring

Auteurs: Eleftheria Maria Pechlivani; Athanasios Papadimitriou; Sotirios Pemas; Georgios Ntinas; Dimitrios Tzovaras
Publié dans: MDPI Micromachines, 2023, ISSN 2072-666X
Éditeur: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/mi14091698

Generate-Paste-Blend-Detect: Synthetic dataset for object detection in the agriculture domain

Auteurs: Nikolaos Giakoumoglou, Eleftheria Maria Pechlivani, Dimitrios Tzovaras
Publié dans: Smart Agricultural Technology, 2023, Page(s) 100258, ISSN 2772-3755
Éditeur: Elsevier BV
DOI: 10.1016/j.atech.2023.100258

An Autonomous Navigation Framework for Holonomic Mobile Robots in Confined Agricultural Environments

Auteurs: Kosmas Tsiakas, Alexios Papadimitriou, Eleftheria Maria Pechlivani, Dimitrios Giakoumis, Nikolaos Frangakis, Antonios Gasteratos, Dimitrios Tzovaras
Publié dans: Robotics, Numéro 12, 2023, Page(s) 146, ISSN 2218-6581
Éditeur: MDPI
DOI: 10.3390/robotics12060146

Multi-spectral image transformer descriptor classification combined with molecular tools for early detection of tomato grey mould

Auteurs: Dimitrios Kapetas, Eleni Kalogeropoulou, Panagiotis Christakakis, Christos Klaridopoulos, Eleftheria Maria Pechlivani
Publié dans: Smart Agricultural Technology, Numéro 9, 2024, Page(s) 100580, ISSN 2772-3755
Éditeur: Elsevier
DOI: 10.1016/j.atech.2024.100580

Enhancing Tuta absoluta Detection on Tomato Plants: Ensemble Techniques and Deep Learning

Auteurs: Nikolaos Giakoumoglou, Eleftheria-Maria Pechlivani, Nikolaos Frangakis, Dimitrios Tzovaras
Publié dans: AI, Numéro 4, 2023, Page(s) 996-1009, ISSN 2673-2688
Éditeur: MDPI
DOI: 10.3390/ai4040050

In Situ Nitrate Monitoring for Improved Fertigation in On-Demand Coupled Aquaponic Systems

Auteurs: Sofia Faliagka, Ioannis Naounoulis, Eleftheria Maria Pechlivani, Nikolaos Katsoulas
Publié dans: MDPI Nitrogen, 2024, ISSN 2504-3129
Éditeur: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/nitrogen5040067

Artificial Intelligence-based Flow Cytometer for Real-time Algae Monitoring

Auteurs: Nikolaos Giakoumoglou, Tomas Björnfot, David Suárez Montes, María Álvarez-Gil, Dag Ilver, Eleftheria Maria Pechlivani
Publié dans: Procedia Computer Science, Numéro 237, 2024, Page(s) 320-327, ISSN 1877-0509
Éditeur: ELSEVIER
DOI: 10.1016/j.procs.2024.05.111

Deep learning-based multi-spectral identification of grey mould

Auteurs: Nikolaos Giakoumoglou, Eleftheria Maria Pechlivani, Athanasios Sakelliou, Christos Klaridopoulos, Nikolaos Frangakis, Dimitrios Tzovaras
Publié dans: Smart Agricultural Technology, 2023, ISSN 2772-3755
Éditeur: Elsevier BV
DOI: 10.1016/j.atech.2023.100174

Revolutionizing Agriculture: Leveraging Hydroponic Greenhouse Wastewater for Sustainable Microalgae-Based Biostimulant Production

Auteurs: Álvarez-Gil, María; Blanco-Vieites, Mario; Suárez-Montes, David; Casado-Bañares, Víctor; Delgado-Ramallo, Jesús Fidel; Rodríguez, Eduardo
Publié dans: MDPI Sustainability, 2023, ISSN 2071-1050
Éditeur: MDPI Open Access Publishing
DOI: 10.3390/su151914398

Early detection of Botrytis cinerea symptoms using deep learning multi-spectral image segmentation

Auteurs: Nikolaos Giakoumoglou, Eleni Kalogeropoulou, Christos Klaridopoulos, Eleftheria Maria Pechlivani, Panagiotis Christakakis, Emilia Markellou, Nikolaos Frangakis, Dimitrios Tzovaras
Publié dans: Smart Agricultural Technology, Numéro 8, 2024, Page(s) 100481, ISSN 2772-3755
Éditeur: ELSEVIER
DOI: 10.1016/j.atech.2024.100481

Exploration of Methodologies for Developing Antimicrobial Fused Filament Fabrication Parts

Auteurs: Sotirios Pemas, Eleftheria Xanthopoulou, Zoi Terzopoulou, Georgios Konstantopoulos, Dimitrios N. Bikiaris, Christine Kottaridi, Dimitrios Tzovaras, Eleftheria Maria Pechlivani
Publié dans: Materials, Numéro 16, 2023, Page(s) 6937, ISSN 1996-1944
Éditeur: MDPI Open Access Publishing
DOI: 10.3390/ma16216937

A Citizen Science Tool Based on an Energy Autonomous Embedded System with Environmental Sensors and Hyperspectral Imaging

Auteurs: Charalampos S. Kouzinopoulos, Eleftheria Maria Pechlivani, Nikolaos Giakoumoglou, Alexios Papaioannou, Sotirios Pemas, Panagiotis Christakakis, Dimosthenis Ioannidis, Dimitrios Tzovaras
Publié dans: Journal of Low Power Electronics and Applications, Numéro 14, 2024, Page(s) 19, ISSN 2079-9268
Éditeur: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/jlpea14020019

Distributed Ledger Technologies for Food Sustainability indexing

Auteurs: Georgios Gkogkos; Patrícia Lourenço; Eleftheria Maria Pechlivani; Luís Encarnaçao; Konstantinos Votis; Nikolaos Giakoumoglou; Jose Marques da Silva; Dimitrios Tzovaras
Publié dans: Smart Agricultural Technology, 2023, ISSN 0346-251X
Éditeur: Pergamon Press Ltd.
DOI: 10.1016/j.atech.2023.100312

Low-Cost Hyperspectral Imaging Device for Portable Remote Sensing

Auteurs: Eleftheria Maria Pechlivani, Athanasios Papadimitriou, Sotirios Pemas, Nikolaos Giakoumoglou, Dimitrios Tzovaras
Publié dans: Instruments, Numéro 7, 2023, Page(s) 32, ISSN 2410-390X
Éditeur: MDPI
DOI: 10.3390/instruments7040032

Vision Transformers in Optimization of AI-Based Early Detection of Botrytis cinerea

Auteurs: Panagiotis Christakakis, Nikolaos Giakoumoglou, Dimitrios Kapetas, Dimitrios Tzovaras, Eleftheria-Maria Pechlivani
Publié dans: AI, Numéro 5, 2024, Page(s) 1301-1323, ISSN 2673-2688
Éditeur: MDPI
DOI: 10.3390/ai5030063

Deep Learning-based Lightweight Models for Bactrocera Oleae Detection

Auteurs: Nikolaos Giakoumoglou, Georgios Pediaditis, Eleftheria-Maria Pechlivani, Dimitrios Tzovaras
Publié dans: Procedia Computer Science, Numéro 237, 2024, Page(s) 313-319, ISSN 1877-0509
Éditeur: ELSEVIER
DOI: 10.1016/j.procs.2024.05.110

Integration of Information and Communication Technologies in Agriculture for Farm Management and Knowledge Exchange

Auteurs: Christos Chaschatzis, Anastasios Lytos, Stamatia Bibi, Thomas Lagkas, Christina Petaloti, Sotirios Goudos ,Ioannis Moscholios, Panagiotis Sarigiannidis
Publié dans: International Conference on Modern Circuits and Systems Technologies (MOCAST), 2022, ISBN 978-1-6654-6717-9
Éditeur: IEEE
DOI: 10.1109/mocast54814.2022.9837534

White Flies and Black Aphids Detection in Field Vegetable Crops using Deep Learning

Auteurs: Nikolaos Giakoumoglou, Eleftheria Maria Pechlivani, Nikolaos Katsoulas, Dimitrios Tzovaras
Publié dans: 2022 IEEE 5th International Conference on Image Processing Applications and Systems IPAS, 2022, ISBN 978-1-6654-6219-8
Éditeur: IEEE
DOI: 10.1109/ipas55744.2022.10052855

A Multidisciplinary In-Depth Systemic Analysis to Support European Green Deal Halving Pesticides Use and Loss of Nutrients: A Greek Case Study

Auteurs: Eleftheria-Maria Pechlivani, Anastasia Kapetanakou, Sofia Faliagka, Nikolaos Giakoumoglou, Fotini Salta, Nikolaos Katsoulas
Publié dans: 2023 7th International Symposium on Multidisciplinary Studies and Innovative Technologies (ISMSIT), 2023, Page(s) 1-7
Éditeur: IEEE
DOI: 10.1109/ismsit58785.2023.10304887

Artificial Intelligence Data Model Verification through Distributed Ledger Technology

Auteurs: Georgios Gkogkos, Nikolaos Giakoumoglou, Eleftheria Maria Pechlivani, Konstantinos Votis, Dimitrios Tzovaras
Publié dans: 2024 28th International Conference on Information Technology (IT), Numéro 5, 2024, Page(s) 1-6
Éditeur: IEEE
DOI: 10.1109/it61232.2024.10475723

Towards Sustainable Farming: A Robust Decision Support System’s Architecture for Agriculture 4.0

Auteurs: Eleftheria Maria Pechlivani, Georgios Gkogkos, Nikolaos Giakoumoglou, Ioannis Hadjigeorgiou, Dimitrios Tzovaras
Publié dans: 2023 24th International Conference on Digital Signal Processing (DSP2023), 2023, ISBN 979-8-3503-3959-8
Éditeur: IEEE
DOI: 10.1109/dsp58604.2023.10167922

In-Depth Study Across Various Disciplines of the Agri-Food Retail Chain on Sufficient, Safe and Healthy Food

Auteurs: Agoustina Galitsopoulou, Eleftheria-Maria Pechlivani, Stefanos Tsachouridis, Sofia Faliagka, Nikolaos Giakoumoglou, Angeliki Elvanidi, Nikolaos Katsoulas
Publié dans: 2023 7th International Symposium on Multidisciplinary Studies and Innovative Technologies (ISMSIT), 2023, Page(s) 1-6
Éditeur: IEEE
DOI: 10.1109/ismsit58785.2023.10304993

Machine Learning for Cybersecurity Frameworks in Smart Farming

Auteurs: Charis Eleftheriadis, Georgios Andronikidis, Konstantinos Kyranou, Eleftheria Maria Pechlivani, Ioannis Hadjigeorgiou, Zisis Batzos
Publié dans: 2024 28th International Conference on Information Technology (IT), Numéro 11, 2024, Page(s) 1-5
Éditeur: IEEE
DOI: 10.1109/it61232.2024.10475711

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