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AI-driven optimization in plant factories
KTH, School of Architecture and the Built Environment (ABE), Sustainable development, Environmental science and Engineering, Sustainability Assessment and Management. IVL Swedish Environmental Research Institute, Stockholm, Sweden.ORCID iD: 0000-0003-3014-8930
2024 (English)In: Nature Food, E-ISSN 2662-1355, Vol. 5, no 10, p. 805-806Article in journal (Refereed) Published
Abstract [en]

Artificial intelligence has the potential to improve the energy and resource use efficiency of plant factories with artificial lighting, promoting more economically viable and environmentally sustainable indoor agriculture.
Place, publisher, year, edition, pages
Springer Nature , 2024. Vol. 5, no 10, p. 805-806
National Category
Production Engineering, Human Work Science and Ergonomics Energy Systems Horticulture
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URN: urn:nbn:se:kth:diva-366726DOI: 10.1038/s43016-024-01050-6ISI: 001320075000002PubMedID: 39327526Scopus ID: 2-s2.0-85205285538OAI: oai:DiVA.org:kth-366726DiVA, id: diva2:1983058
Note

QC 20250709

Available from: 2025-07-09 Created: 2025-07-09 Last updated: 2025-07-09Bibliographically approved

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Martin, Michael

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