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Applications of optical sensing and imaging spectroscopy in indoor farming: A systematic review
Mälardalen University, School of Business, Society and Engineering, Future Energy Center.ORCID iD: 0000-0002-4528-4989
Mälardalen University, School of Business, Society and Engineering, Future Energy Center.ORCID iD: 0000-0002-5341-3656
Mälardalen University, School of Business, Society and Engineering, Future Energy Center.ORCID iD: 0000-0001-5480-0167
2024 (English)In: Spectrochimica Acta Part A - Molecular and Biomolecular Spectroscopy, ISSN 1386-1425, E-ISSN 1873-3557, Vol. 322, article id 124820Article in journal (Refereed) Published
Abstract [en]

As demand for food continues to rise, innovative methods are needed to sustainably and efficiently meet thegrowing pressure on agriculture. Indoor farming and controlled environment agriculture have emerged aspromising approaches to address this challenge. However, optimizing fertilizer usage, ensuring homogeneousproduction, and reducing agro-waste remain substantial challenges in these production systems. One potentialsolution is the use of optical sensing technology, which can provide real-time data to help growers makeinformed decisions and enhance their operations. optical sensing can be used to analyze plant tissues, evaluatecrop quality and yield, measure nutrients, and assess plant responses to stress. This paper presents a systematicliterature review of the current state of using spectral-optical sensors and hyperspectral imaging for indoorfarming, following the PRISMA 2020 guidelines. The study surveyed existing studies from 2017 to 2023 toidentify gaps in knowledge, provide researchers and farmers with current trends, and offer recommendations andinspirations for possible new research directions. The results of this review will contribute to the development ofsustainable and efficient methods of food production.

Place, publisher, year, edition, pages
Pergamon-Elsevier Science LTD , 2024. Vol. 322, article id 124820
Keywords [en]
Indoor farming, Controlled environment agriculture, Optical sensing, Spectral-optical sensors, Hyperspectral imaging
National Category
Physical Sciences
Identifiers
URN: urn:nbn:se:mdh:diva-68096DOI: 10.1016/j.saa.2024.124820ISI: 001275662700001PubMedID: 39032229Scopus ID: 2-s2.0-85198994797OAI: oai:DiVA.org:mdh-68096DiVA, id: diva2:1885213
Funder
VinnovaAvailable from: 2024-07-22 Created: 2024-07-22 Last updated: 2024-08-07Bibliographically approved

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Gorji, ReyhanehSkvaril, JanOdlare, Monica

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