The impact of light heterogeneity in controlled environment agriculture on biomass of microgreens

Yield is impacted by the environmental conditions that plants are exposed to. Controlled environmental agriculture provides growers with an opportunity to fine-tune environmental conditions for optimising yield and crop quality. However, space and time constraints will limit the number of experimental conditions that can be tested, which will in turn limit the resolution to which environmental conditions can be optimised. Here we present an innovative experimental approach that utilises the existing heterogeneity in light quantity and quality across a vertical farm to evaluate hundreds of environmental conditions concurrently. Using an observational study design, we identify features in light quality that are most predictive of biomass in different kinds of microgreens (kale, radish and sunflower) that may inform future iterations of lighting technology development for vertical farms.

Publication Details

Journal
White Rose Research Online (University of Leeds, The University of Sheffield, University of York)
Published
2025-04-23
Primary Topic
Remote-Sensing Image Classification
Type
article
Field-Weighted Citation Impact
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article

The impact of light heterogeneity in controlled environment agriculture on biomass of microgreens

White Rose Research Online (University of Leeds, The University of Sheffield, University of York)
Remote-Sensing Image Classification
article

The impact of light heterogeneity in controlled environment agriculture on biomass of microgreens

article en

Abstract

Yield is impacted by the environmental conditions that plants are exposed to. Controlled environmental agriculture provides growers with an opportunity to fine-tune environmental conditions for optimising yield and crop quality. However, space and time constraints will limit the number of experimental conditions that can be tested, which will in turn limit the resolution to which environmental conditions can be optimised. Here we present an innovative experimental approach that utilises the existing heterogeneity in light quantity and quality across a vertical farm to evaluate hundreds of environmental conditions concurrently. Using an observational study design, we identify features in light quality that are most predictive of biomass in different kinds of microgreens (kale, radish and sunflower) that may inform future iterations of lighting technology development for vertical farms.

White Rose Research Online (University of Leeds, The University of Sheffield, University of York)
Zero hunger
Openalex Percentile: Top 40%
Remote-Sensing Image Classification
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