Data Sheet 1_Identifying reliable visible-spectrum reflectance metrics for monitoring cucumber leaf development.csv

<p>Accurate and continuous monitoring of plant development is crucial for managing closed cultivation systems effectively. Optical reflectance-based sensors offer a non-destructive, scalable, and cost-efficient method to track plant growth, physiological status and stress responses. However, e...

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मुख्य लेखक: Jens Balasus (22686461) (author)
अन्य लेखक: Felix Wirth (18206608) (author), Alexander Herzog (10990332) (author), Tran Quoc Khanh (10990338) (author)
प्रकाशित: 2025
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author Jens Balasus (22686461)
author2 Felix Wirth (18206608)
Alexander Herzog (10990332)
Tran Quoc Khanh (10990338)
author2_role author
author
author
author_facet Jens Balasus (22686461)
Felix Wirth (18206608)
Alexander Herzog (10990332)
Tran Quoc Khanh (10990338)
author_role author
dc.creator.none.fl_str_mv Jens Balasus (22686461)
Felix Wirth (18206608)
Alexander Herzog (10990332)
Tran Quoc Khanh (10990338)
dc.date.none.fl_str_mv 2025-11-26T05:14:57Z
dc.identifier.none.fl_str_mv 10.3389/fhort.2025.1664316.s001
dc.relation.none.fl_str_mv https://figshare.com/articles/dataset/Data_Sheet_1_Identifying_reliable_visible-spectrum_reflectance_metrics_for_monitoring_cucumber_leaf_development_csv/30717695
dc.rights.none.fl_str_mv CC BY 4.0
info:eu-repo/semantics/openAccess
dc.subject.none.fl_str_mv Horticultural Crop Improvement (Selection and Breeding)
spectral reflectance
vegetation index
leaf age
horticultural lighting
non-destructive sensing
optical sensors
dc.title.none.fl_str_mv Data Sheet 1_Identifying reliable visible-spectrum reflectance metrics for monitoring cucumber leaf development.csv
dc.type.none.fl_str_mv Dataset
info:eu-repo/semantics/publishedVersion
dataset
description <p>Accurate and continuous monitoring of plant development is crucial for managing closed cultivation systems effectively. Optical reflectance-based sensors offer a non-destructive, scalable, and cost-efficient method to track plant growth, physiological status and stress responses. However, existing vegetation indices predominantly utilize wavelengths in the near-infrared (> 800nm) range, a spectral range typically absent in horticultural LED lighting systems, limiting their applicability in horticultural LED-lit environments. This study investigates spectral metrics within the visible spectrum (440nm - 740nm) that robustly correlate with leaf order, a proxy for leaf age, in cucumber (Cucumis sativus) plants grown under controlled artificial lighting conditions. We systematically compared adaxial and abaxial leaf surfaces, identifying significant spectral variations associated with leaf order. Results demonstrate that abaxial leaf reflectance strongly correlates with leaf order, especially in the blue and red spectral regions. While adaxial reflectance showed weaker correlations, specific reflectance ratios (e.g., ρ<sub>720</sub>/ρ<sub>700</sub>) enhanced this relationship, providing metrics suitable for sensor integration. These findings supply metrics for the development of simple optical sensors optimized for growth monitoring in greenhouse or indoor farming systems.</p>
eu_rights_str_mv openAccess
id Manara_b42d2771e005dcfde9c90b1a87ee4f41
identifier_str_mv 10.3389/fhort.2025.1664316.s001
network_acronym_str Manara
network_name_str ManaraRepo
oai_identifier_str oai:figshare.com:article/30717695
publishDate 2025
repository.mail.fl_str_mv
repository.name.fl_str_mv
repository_id_str
rights_invalid_str_mv CC BY 4.0
spelling Data Sheet 1_Identifying reliable visible-spectrum reflectance metrics for monitoring cucumber leaf development.csvJens Balasus (22686461)Felix Wirth (18206608)Alexander Herzog (10990332)Tran Quoc Khanh (10990338)Horticultural Crop Improvement (Selection and Breeding)spectral reflectancevegetation indexleaf agehorticultural lightingnon-destructive sensingoptical sensors<p>Accurate and continuous monitoring of plant development is crucial for managing closed cultivation systems effectively. Optical reflectance-based sensors offer a non-destructive, scalable, and cost-efficient method to track plant growth, physiological status and stress responses. However, existing vegetation indices predominantly utilize wavelengths in the near-infrared (> 800nm) range, a spectral range typically absent in horticultural LED lighting systems, limiting their applicability in horticultural LED-lit environments. This study investigates spectral metrics within the visible spectrum (440nm - 740nm) that robustly correlate with leaf order, a proxy for leaf age, in cucumber (Cucumis sativus) plants grown under controlled artificial lighting conditions. We systematically compared adaxial and abaxial leaf surfaces, identifying significant spectral variations associated with leaf order. Results demonstrate that abaxial leaf reflectance strongly correlates with leaf order, especially in the blue and red spectral regions. While adaxial reflectance showed weaker correlations, specific reflectance ratios (e.g., ρ<sub>720</sub>/ρ<sub>700</sub>) enhanced this relationship, providing metrics suitable for sensor integration. These findings supply metrics for the development of simple optical sensors optimized for growth monitoring in greenhouse or indoor farming systems.</p>2025-11-26T05:14:57ZDatasetinfo:eu-repo/semantics/publishedVersiondataset10.3389/fhort.2025.1664316.s001https://figshare.com/articles/dataset/Data_Sheet_1_Identifying_reliable_visible-spectrum_reflectance_metrics_for_monitoring_cucumber_leaf_development_csv/30717695CC BY 4.0info:eu-repo/semantics/openAccessoai:figshare.com:article/307176952025-11-26T05:14:57Z
spellingShingle Data Sheet 1_Identifying reliable visible-spectrum reflectance metrics for monitoring cucumber leaf development.csv
Jens Balasus (22686461)
Horticultural Crop Improvement (Selection and Breeding)
spectral reflectance
vegetation index
leaf age
horticultural lighting
non-destructive sensing
optical sensors
status_str publishedVersion
title Data Sheet 1_Identifying reliable visible-spectrum reflectance metrics for monitoring cucumber leaf development.csv
title_full Data Sheet 1_Identifying reliable visible-spectrum reflectance metrics for monitoring cucumber leaf development.csv
title_fullStr Data Sheet 1_Identifying reliable visible-spectrum reflectance metrics for monitoring cucumber leaf development.csv
title_full_unstemmed Data Sheet 1_Identifying reliable visible-spectrum reflectance metrics for monitoring cucumber leaf development.csv
title_short Data Sheet 1_Identifying reliable visible-spectrum reflectance metrics for monitoring cucumber leaf development.csv
title_sort Data Sheet 1_Identifying reliable visible-spectrum reflectance metrics for monitoring cucumber leaf development.csv
topic Horticultural Crop Improvement (Selection and Breeding)
spectral reflectance
vegetation index
leaf age
horticultural lighting
non-destructive sensing
optical sensors