In the global effort to reduce greenhouse gas emissions, innovative carbon farming activities could play a prominent role in the sequestration of atmospheric CO2. By implementing state-of-the-art technological solutions, the EU-funded INNO4CFIs project will assess C tree sequestration in four Euro-pean agroforestry Living Hubs (LHs). For sustainable freshwater production in agroforestry systems, the performance of an IoT-supported desalination system (Mangrove Technology Platform, MTP) will be validated in the reference LH of Follonica (Grosseto, Italy). As an indicator of C sequestration, tree biomass accumulation will be monitored using a cutting-edge approach that integrates traditional tree allometric equations to satellite-and UAV drone-based remote sensing analyses. Ecophysiological measurements by sensors will characterize tree performances and functionality. All the physiological, agronomic, and car-bon accumulation data from the different agroforestry plantations will be directed to a decentralized data management that guarantees security measures and data traceability for end-users and stakeholders. Finally, advanced Artificial Intelli-gence (AI) methodologies will support the project in developing a peer-to-peer (P2P) carbon credit recommendation engine. Overall, INNO4CFIs will offer an advanced and unique analysis of AFS potential as a carbon offset strategy.

Living Hubs in the INNO4CFIs Project. From Ground to Satellites to AI Applications: Integrating Advanced Technologies for Carbon Farming in Agroforestry

Niccolò Conti;Lorenzo Scatena;Elena Marra;Jacopo Manzini;Pierluigi Paris;Gianni Della Rocca
2025

Abstract

In the global effort to reduce greenhouse gas emissions, innovative carbon farming activities could play a prominent role in the sequestration of atmospheric CO2. By implementing state-of-the-art technological solutions, the EU-funded INNO4CFIs project will assess C tree sequestration in four Euro-pean agroforestry Living Hubs (LHs). For sustainable freshwater production in agroforestry systems, the performance of an IoT-supported desalination system (Mangrove Technology Platform, MTP) will be validated in the reference LH of Follonica (Grosseto, Italy). As an indicator of C sequestration, tree biomass accumulation will be monitored using a cutting-edge approach that integrates traditional tree allometric equations to satellite-and UAV drone-based remote sensing analyses. Ecophysiological measurements by sensors will characterize tree performances and functionality. All the physiological, agronomic, and car-bon accumulation data from the different agroforestry plantations will be directed to a decentralized data management that guarantees security measures and data traceability for end-users and stakeholders. Finally, advanced Artificial Intelli-gence (AI) methodologies will support the project in developing a peer-to-peer (P2P) carbon credit recommendation engine. Overall, INNO4CFIs will offer an advanced and unique analysis of AFS potential as a carbon offset strategy.
2025
Istituto per la Protezione Sostenibile delle Piante - IPSP
Istituto per la BioEconomia - IBE
Istituto di Ricerca sugli Ecosistemi Terrestri - IRET - Sede Secondaria Firenze
9783031764585
9783031764592
Tree biomass measurements, allometric equations, salt water desalination
File in questo prodotto:
File Dimensione Formato  
Living Hubs in the INNO4CFIs Project.pdf

solo utenti autorizzati

Tipologia: Versione Editoriale (PDF)
Licenza: NON PUBBLICO - Accesso privato/ristretto
Dimensione 6.12 MB
Formato Adobe PDF
6.12 MB Adobe PDF   Visualizza/Apri   Richiedi una copia

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/540241
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus ND
  • ???jsp.display-item.citation.isi??? ND
social impact