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    Dynamic Environmental Control of a Vertical Farm for Lettuce Production

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    azu_etd_22727_sip1_m.pdf
    Embargo:
    2026-07-06
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    Author
    Jesse, Samuel David
    Issue Date
    2025
    Keywords
    crop growth
    crop quality
    dynamic light control
    hyperspectral imaging
    resource use efficiency
    vertical farm
    Advisor
    Kacira, Murat
    
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    Publisher
    The University of Arizona.
    Rights
    Copyright © is held by the author. Digital access to this material is made possible by the University Libraries, University of Arizona. Further transmission, reproduction, presentation (such as public display or performance) of protected items is prohibited except with permission of the author.
    Embargo
    Release after 07/06/2026
    Abstract
    Dynamic environmental control systems in vertical farms have been posed as avenues towards improving agricultural productivity and crop quality while addressing sustainability concerns around energy consumed by lighting systems as well as overall resource use. Previous efforts in dynamic controls in vertical farming have built on an abundance of literature on yields, resource use efficiencies, crop indices, anthocyanin content, and tipburn mitigation reported under a variety of fixed light conditions to propose and evaluate dynamic light intensity and light quality treatments. However, many of these studies either neglect resource use efficiencies or fail to control the total amount of artificial lighting within the range of extended photosynthetically active radiation (ePAR, 400-750 nm) that is accumulated over the growing period. As accumulated ePAR light, consisting of blue, green, red, and far-red light is comprehensively responsible for supporting plant growth and these constitutive light colors can modify cellular responses from cell expansion to photoprotective investment, controlling these light attributes is a major opportunity for optimization. Furthermore, integration of airflow and CO2 enrichment, along with the light intensity and quality, has also been lacking in a more comprehensive dynamic environmental control in vertical farming system. This study proposed a treatment strategy of dynamic light quality with or without a dynamic light intensity in comparison to a treatment of fixed light intensity and quality as a control in a vertical farm that also incorporates existing practices established in the literature on intermittent airflow and CO2 enrichment. Fresh and dry shoot masses of red colored lettuce (Lactuca sativa L. cv. ‘Rouxaï’), along with light use efficiency and electrical use efficiency, were used to evaluate the proposed dynamic light control strategies for growth, while anthocyanin concentration, tipburn severity score, and crop quality indices (ARI, mARI, RGRI, and NDVI) of red colored lettuce (Lactuca sativa L. cv. ‘Rouxaï’) are used to evaluate the proposed dynamic light control strategies for quality. No differences in yields or resource efficiency were observed when replacing an initially elevated proportion of Fr light with B light towards the end of production –except with a slight impairment of fresh mass, which is supported by similar studies. In contrast, combining this strategy with a stepwise decreasing light intensity over time has a negative effect on yields and light use efficiency, but was not observed by electrical use efficiency by lighting. However, the consistency of resource efficiencies by both fresh and dry mass bases highlights the importance of controlling light accumulation in this research area. When replacing an initially elevated proportion of Fr light with B light towards the end of production, positive differences in ARI and mARI were observed. With or without adding a stepwise decreasing light intensity regime, tipburn was reduced, but without changing the overall marketable loss of the crop. However, some findings of this study appear contradictory within the context of the literature, such that the anthocyanin concentration was lower than expected by the high ARI and mARI indices, which is potentially explained by methodological inconsistencies in the literature between studies –to be addressed by future work. We further suggest that future work explores the space of light intensity and quality over time, while facilitating greater flexibility than pre-determined treatments by incorporating advanced algorithms and machine vision for real-time control of the growing environment.
    Type
    text
    Electronic Dissertation
    Degree Name
    Ph.D.
    Degree Level
    doctoral
    Degree Program
    Graduate College
    Biosystems Engineering
    Degree Grantor
    University of Arizona
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