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Understanding its mechanisms is crucial for optimizing crop yields and for environmental monitoring across a diverse range of plants. In this study, we employed reflectance, transmittance, and absorbance hyperspectral sensors and utilized multivariate statistical techniques to improve the predictive models for chlorophyll a fluorescence (ChlF) parameters in Hibiscus and Geranium model plants. Our objective was to identify spectral bands within hyperspectral data that correlate with ChlF indicators using high-resolution data spanning the electromagnetic spectrum from ultraviolet to shortwave infrared (UV\u2013VIS\u2013NIR\u2013SWIR). Utilizing the hyperspectral vegetation indices (HVIs) tool to align importance projection for wavelength preselection and select the most responsive wavelength by variable importance projection (VIP), we optimized partial least squares regression (PLSR) models to enhance predictive accuracy. Our findings revealed a strong relationship between hyperspectral sensor data and ChlF parameters. Employing principal component analysis, kappa coefficients (k), and accuracy (Acc) evaluations, we achieved values exceeding 86% of the predicted ChlF parameters for both Hibiscus and Geranium plants. Regression models for parameters such as \u03a8(EO), \u03d5(PO), \u03d5(EO), \u03d5(DO), \u03b4Ro, \u03c1Ro, Kn, Kp, SFI(abs), PI(abs), and D.F. demonstrated model accuracies close to 0.84 for R2 and approximately 1.96 for RPD. The spectral regions linked with these parameters included blue, green, red, infrared, SWIR1, and SWIR2, emphasizing their relevance for noninvasive evaluations. This research demonstrates the ability of hyperspectral sensors to noninvasively predict chlorophyll a fluorescence (ChlF) parameters, which are essential for assessing photosynthetic efficiency in plants. Notably, hyperspectral absorbance data were more accurate in predicting JIP-test-based chlorophyll a kinetic parameters. In conclusion, this study underscores the potential of hyperspectral sensors for deepening our understanding of plant photosynthesis and monitoring plant health.<\/jats:p>","DOI":"10.3390\/rs15205067","type":"journal-article","created":{"date-parts":[[2023,10,23]],"date-time":"2023-10-23T01:41:21Z","timestamp":1698025281000},"page":"5067","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":14,"title":["Assessment of Combined Reflectance, Transmittance, and Absorbance Hyperspectral Sensors for Prediction of Chlorophyll a Fluorescence Parameters"],"prefix":"10.3390","volume":"15","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-2343-5045","authenticated-orcid":false,"given":"Renan","family":"Falcioni","sequence":"first","affiliation":[{"name":"Department of Agronomy, State University of Maring\u00e1, Av. Colombo, 5790, Maring\u00e1 87020-900, Paran\u00e1, Brazil"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8430-2791","authenticated-orcid":false,"given":"Werner Camargos","family":"Antunes","sequence":"additional","affiliation":[{"name":"Department of Agronomy, State University of Maring\u00e1, Av. Colombo, 5790, Maring\u00e1 87020-900, Paran\u00e1, Brazil"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7338-2666","authenticated-orcid":false,"given":"Roney Berti de","family":"Oliveira","sequence":"additional","affiliation":[{"name":"Department of Agronomy, State University of Maring\u00e1, Av. Colombo, 5790, Maring\u00e1 87020-900, Paran\u00e1, Brazil"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1631-3709","authenticated-orcid":false,"given":"Marcelo Luiz","family":"Chicati","sequence":"additional","affiliation":[{"name":"Department of Agronomy, State University of Maring\u00e1, Av. Colombo, 5790, Maring\u00e1 87020-900, Paran\u00e1, Brazil"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5328-0323","authenticated-orcid":false,"given":"Jos\u00e9 Alexandre M.","family":"Dematt\u00ea","sequence":"additional","affiliation":[{"name":"Department of Soil Science, Luiz de Queiroz College of Agriculture, University of S\u00e3o Paulo, Av. P\u00e1dua Dias, 11, Piracicaba 13418-260, S\u00e3o Paulo, Brazil"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4854-2661","authenticated-orcid":false,"given":"Marcos Rafael","family":"Nanni","sequence":"additional","affiliation":[{"name":"Department of Agronomy, State University of Maring\u00e1, Av. Colombo, 5790, Maring\u00e1 87020-900, Paran\u00e1, Brazil"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2023,10,22]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"86","DOI":"10.1016\/j.envexpbot.2017.06.001","article-title":"Distinct Growth Light and Gibberellin Regimes Alter Leaf Anatomy and Reveal Their Influence on Leaf Optical Properties","volume":"140","author":"Falcioni","year":"2017","journal-title":"Environ. Exp. 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