{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,7]],"date-time":"2026-02-07T04:49:39Z","timestamp":1770439779414,"version":"3.49.0"},"reference-count":18,"publisher":"MDPI AG","issue":"2","license":[{"start":{"date-parts":[[2014,2,5]],"date-time":"2014-02-05T00:00:00Z","timestamp":1391558400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/3.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>Laser scanning is a non-invasive method for collecting and parameterizing 3D data of well reflecting objects. These systems have been used for 3D imaging of plant growth and structure analysis. A prerequisite is that the recorded signals originate from the true plant surface. In this paper we studied the effects of species, leaf chlorophyll content and sensor settings on the suitability and accuracy of a commercial 660 nm active laser triangulation scanning device. We found that surface images of Ficus benjamina leaves were inaccurate at low chlorophyll concentrations and a long sensor exposure time. Imaging of the rough waxy leaf surface of leek (Allium porrum) was possible using very low exposure times, whereas at higher exposure times penetration and multiple refraction prevented the correct imaging of the surface. A comparison of scans with varying exposure time enabled the target-oriented analysis to identify chlorotic, necrotic and healthy leaf areas or mildew infestations. We found plant properties and sensor settings to have a  strong influence on the accuracy of measurements. These interactions have to be further elucidated before laser imaging of plants is possible with the high accuracy required for e.g., the observation of plant growth or reactions to water stress.<\/jats:p>","DOI":"10.3390\/s140202489","type":"journal-article","created":{"date-parts":[[2014,2,5]],"date-time":"2014-02-05T10:45:44Z","timestamp":1391597144000},"page":"2489-2509","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":28,"title":["Limits of Active Laser Triangulation as an Instrument for High Precision Plant Imaging"],"prefix":"10.3390","volume":"14","author":[{"given":"Stefan","family":"Paulus","sequence":"first","affiliation":[{"name":"Institute of Geodesy and Geoinformation, Chair of Geodesy, University of Bonn, Nu\u00dfallee 17, Bonn 53115, Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Thomas","family":"Eichert","sequence":"additional","affiliation":[{"name":"Institute of Crop Science and Resource Conservation, Division Plant Nutrition, University of Bonn, Karlrobert-Kreiten-Str. 13, Bonn 53115, Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Heiner","family":"Goldbach","sequence":"additional","affiliation":[{"name":"Institute of Crop Science and Resource Conservation, Division Plant Nutrition, University of Bonn, Karlrobert-Kreiten-Str. 13, Bonn 53115, Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Heiner","family":"Kuhlmann","sequence":"additional","affiliation":[{"name":"Institute of Geodesy and Geoinformation, Chair of Geodesy, University of Bonn, Nu\u00dfallee 17, Bonn 53115, Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2014,2,5]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"881","DOI":"10.1093\/jxb\/erl142","article-title":"3D lidar imaging for detecting and understanding plant responses and canopy structure","volume":"58","author":"Omasa","year":"2007","journal-title":"J. Exp. Bot."},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"1299","DOI":"10.1111\/j.1365-3040.2007.01702.x","article-title":"A stereo imaging system for measuring structural parameters of plant canopies","volume":"30","author":"Biskup","year":"2007","journal-title":"Plant Cell Environ."},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"478","DOI":"10.1016\/j.agrformet.2010.01.003","article-title":"Three-dimensional digital model of a maize plant","volume":"150","author":"Frasson","year":"2010","journal-title":"Agric. For. Meteorol."},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"2166","DOI":"10.3390\/s110202166","article-title":"3-D Modeling of tomato canopies using a high-resolution portable scanning lidar for extracting structural information","volume":"11","author":"Hosoi","year":"2011","journal-title":"Sensors"},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"661","DOI":"10.1109\/TGRS.2011.2161613","article-title":"Automatic stem mapping using single-scan terrestrial laser scanning","volume":"50","author":"Liang","year":"2012","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"79","DOI":"10.1007\/s11104-011-0797-8","article-title":"A tool to model 3D coarse-root development with annual resolution","volume":"346","author":"Wagner","year":"2011","journal-title":"Plant Soil"},{"key":"ref_7","doi-asserted-by":"crossref","unstructured":"Paulus, S., Dupuis, J., Mahlein, A.K., and Kuhlmann, H. (2013). Surface feature based classification of plant organs from 3D laserscanned point clouds for plant phenotyping. BMC Bioinforma., 14.","DOI":"10.1186\/1471-2105-14-238"},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"2229","DOI":"10.1016\/j.rse.2010.04.025","article-title":"Simultaneous measurements of plant structure and chlorophyll content in broadleaf saplings with a terrestrial laser scanner","volume":"114","author":"Eitel","year":"2010","journal-title":"Remote Sens. Environ."},{"key":"ref_9","unstructured":"Hexagon Metrology: Technical Data Romer Infinite 2.0. Available online: http:\/\/www.hexagonmetrology.com.ar\/en\/romer-infinite-20_814.htm."},{"key":"ref_10","unstructured":"Hexagon Metrology: Technical Data Perceptron ScanWorks V5 for Romer. Available online: http:\/\/www.hexagonmetrology.com.ar\/en\/perceptron-scanworks-v5-for-romer_275.htm."},{"key":"ref_11","unstructured":"Donges, A., and Noll, R. (1993). Laserme\u03b2technik. Grundlagen und Anwendungen, DE H\u00fcthig."},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"384","DOI":"10.1016\/S0005-2728(89)80347-0","article-title":"Determination of accurate extinction coefficients and simultaneous equations for assaying chlorophyll A and chlorolophyll B extracted with 4 different solvents: verification of the concentration of chlorophyll standards by atomic-absorbtion spectroscopy","volume":"975","author":"Porra","year":"1989","journal-title":"Biochim. Biophys. Acta"},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"358","DOI":"10.1111\/j.1365-313X.2004.02042.x","article-title":"Automatic quantification of morphological traits via three-dimensional measurement of Arabidopsis","volume":"38","author":"Kaminuma","year":"2004","journal-title":"Plant J. Cell Mol. Biol."},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/j.isprsjprs.2012.02.001","article-title":"Multi-wavelength canopy LIDAR for remote sensing of vegetation: Design and system performance","volume":"69","author":"Wei","year":"2012","journal-title":"J. Photogr. Remote Sens."},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"227","DOI":"10.1016\/j.copbio.2011.12.010","article-title":"Imaging plants dynamics in heterogenic environments","volume":"23","author":"Fiorani","year":"2012","journal-title":"Curr. Opin. Biotechnol."},{"key":"ref_16","doi-asserted-by":"crossref","unstructured":"Mahlein, A.K., Steiner, U., Hillnhutter, C., Dehne, H.W., and Oerke, E.C. (2012). Hyperspectral imaging for small-scale analysis of symptoms caused by different sugar beet diseases. Plant Methods, 8.","DOI":"10.1186\/1746-4811-8-3"},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"647","DOI":"10.14358\/PERS.69.6.647","article-title":"Remote sensing for crop management","volume":"69","author":"Pinter","year":"2003","journal-title":"Photogr. Eng. Remote Sens."},{"key":"ref_18","doi-asserted-by":"crossref","first-page":"197","DOI":"10.1007\/s10658-011-9878-z","article-title":"Recent advances in sensing plant diseases for precision crop protection","volume":"133","author":"Mahlein","year":"2012","journal-title":"Eur. J. 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