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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2025
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| _version_ | 1849927624424423424 |
|---|---|
| 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 |