WeightNameValue
1000 Wichtiger Hinweis
    Dieses Objekt wurde gelöscht
1000 Titel
  • The Digital Agricultural Knowledge and Information System (DAKIS): Employing digitalisation to encourage diversified and multifunctional agricultural systems
1000 Autor/in
  1. Mouratiadou, Ioanna |
  2. Lemke, Nahleen |
  3. Chen, Cheng |
  4. Wartenberg, Ariani |
  5. Bloch, Ralf |
  6. Donat, Marco |
  7. Gaiser, Thomas |
  8. Basavegowda, Deepak Hanike |
  9. Helming, Katharina |
  10. Hosseini Yekani, Seyed Ali |
  11. Krull, Marcos |
  12. Lingemann, Kai |
  13. Melzer, Marvin |
  14. Nendel, Claas |
  15. Piorr, Annette |
  16. Shaaban, Mostafa |
  17. Zander, Peter |
  18. Weltzien, Cornelia |
  19. Bellingrath-Kimura, Sonoko Dorothea |
1000 Erscheinungsjahr 2023
1000 LeibnizOpen
1000 Publikationstyp
  1. Artikel |
1000 Online veröffentlicht
  • 2023-04-14
1000 Erschienen in
1000 Quellenangabe
  • 16:e100274
1000 FRL-Sammlung
1000 Copyrightjahr
  • 2023
1000 Lizenz
1000 Verlagsversion
  • https://doi.org/10.1016/j.ese.2023.100274 |
  • https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10188627/ |
1000 Publikationsstatus
1000 Begutachtungsstatus
1000 Sprache der Publikation
1000 Abstract/Summary
  • Multifunctional and diversified agriculture can address diverging pressures and demands by simultaneously enhancing productivity, biodiversity, and the provision of ecosystem services. The use of digital technologies can support this by designing and managing resource-efficient and context-specific agricultural systems. We present the Digital Agricultural Knowledge and Information System (DAKIS) to demonstrate an approach that employs digital technologies to enable decision-making towards diversified and sustainable agriculture. To develop the DAKIS, we specified, together with stakeholders, requirements for a knowledge-based decision-support tool and reviewed the literature to identify limitations in the current generation of tools. The results of the review point towards recurring challenges regarding the consideration of ecosystem services and biodiversity, the capacity to foster communication and cooperation between farmers and other actors, and the ability to link multiple spatiotemporal scales and sustainability levels. To overcome these challenges, the DAKIS provides a digital platform to support farmers' decision-making on land use and management via an integrative spatiotemporally explicit approach that analyses a wide range of data from various sources. The approach integrates remote and in situ sensors, artificial intelligence, modelling, stakeholder-stated demand for biodiversity and ecosystem services, and participatory sustainability impact assessment to address the diverse drivers affecting agricultural land use and management design, including natural and agronomic factors, economic and policy considerations, and socio-cultural preferences and settings. Ultimately, the DAKIS embeds the consideration of ecosystem services, biodiversity, and sustainability into farmers' decision-making and enables learning and progress towards site-adapted small-scale multifunctional and diversified agriculture while simultaneously supporting farmers' objectives and societal demands.
1000 Sacherschließung
lokal Biodiversity
lokal Ecosystem services
lokal Decision support system
lokal Modelling
lokal Digital agriculture
lokal Farming practices
lokal Small-scale management
1000 Fächerklassifikation (DDC)
1000 Liste der Beteiligten
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1000 Label
1000 Förderer
  1. Bundesministerium für Bildung und Forschung |
1000 Fördernummer
  1. 031B0729A
1000 Förderprogramm
  1. -
1000 Dateien
1000 Förderung
  1. 1000 joinedFunding-child
    1000 Förderer Bundesministerium für Bildung und Forschung |
    1000 Förderprogramm -
    1000 Fördernummer 031B0729A
1000 Objektart article
1000 Beschrieben durch
1000 @id frl:6475477.rdf
1000 Erstellt am 2024-04-30T15:41:42.095+0200
1000 Erstellt von 333
1000 beschreibt frl:6475477
1000 Bearbeitet von 25
1000 Zuletzt bearbeitet 2024-10-23T11:37:44.081+0200
1000 Objekt bearb. Tue May 07 09:33:01 CEST 2024
1000 Vgl. frl:6475477
1000 Oai Id
  1. oai:frl.publisso.de:frl:6475477 |
1000 Sichtbarkeit Metadaten public
1000 Sichtbarkeit Daten private
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