{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,8,28]],"date-time":"2024-08-28T05:45:36Z","timestamp":1724823936350},"reference-count":36,"publisher":"MDPI AG","issue":"12","license":[{"start":{"date-parts":[[2015,12,17]],"date-time":"2015-12-17T00:00:00Z","timestamp":1450310400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"3D crop reconstruction with a high temporal resolution and by the use of non-destructive measuring technologies can support the automation of plant phenotyping processes. Thereby, the availability of such 3D data can give valuable information about the plant development and the interaction of the plant genotype with the environment. This article presents a new methodology for georeferenced 3D reconstruction of maize plant structure. For this purpose a total station, an IMU, and several 2D LiDARs with different orientations were mounted on an autonomous vehicle. By the multistep methodology presented, based on the application of the ICP algorithm for point cloud fusion, it was possible to perform the georeferenced point clouds overlapping. The overlapping point cloud algorithm showed that the aerial points (corresponding mainly to plant parts) were reduced to 1.5%\u20139% of the total registered data. The remaining were redundant or ground points. Through the inclusion of different LiDAR point of views of the scene, a more realistic representation of the surrounding is obtained by the incorporation of new useful information but also of noise. The use of georeferenced 3D maize plant reconstruction at different growth stages, combined with the total station accuracy could be highly useful when performing precision agriculture at the crop plant level.<\/jats:p>","DOI":"10.3390\/rs71215870","type":"journal-article","created":{"date-parts":[[2015,12,17]],"date-time":"2015-12-17T15:47:37Z","timestamp":1450367257000},"page":"17077-17096","source":"Crossref","is-referenced-by-count":56,"title":["3D Maize Plant Reconstruction Based on Georeferenced Overlapping LiDAR Point Clouds"],"prefix":"10.3390","volume":"7","author":[{"given":"Miguel","family":"Garrido","sequence":"first","affiliation":[{"name":"Laboratorio de Propiedades F\u00edsicas (LPF)-TAGRALIA, Technical University of Madrid, Madrid 28040, Spain"}]},{"ORCID":"http:\/\/orcid.org\/0000-0001-8275-8840","authenticated-orcid":false,"given":"Dimitris","family":"Paraforos","sequence":"additional","affiliation":[{"name":"Institute of Agricultural Engineering, University of Hohenheim, Garbenstr. 9, Stuttgart D-70599, Germany"}]},{"ORCID":"http:\/\/orcid.org\/0000-0003-0158-6456","authenticated-orcid":false,"given":"David","family":"Reiser","sequence":"additional","affiliation":[{"name":"Institute of Agricultural Engineering, University of Hohenheim, Garbenstr. 9, Stuttgart D-70599, Germany"}]},{"ORCID":"http:\/\/orcid.org\/0000-0001-7820-5143","authenticated-orcid":false,"given":"Manuel","family":"V\u00e1zquez Arellano","sequence":"additional","affiliation":[{"name":"Institute of Agricultural Engineering, University of Hohenheim, Garbenstr. 9, Stuttgart D-70599, Germany"}]},{"given":"Hans","family":"Griepentrog","sequence":"additional","affiliation":[{"name":"Institute of Agricultural Engineering, University of Hohenheim, Garbenstr. 9, Stuttgart D-70599, Germany"}]},{"ORCID":"http:\/\/orcid.org\/0000-0003-4473-3209","authenticated-orcid":false,"given":"Constantino","family":"Valero","sequence":"additional","affiliation":[{"name":"Laboratorio de Propiedades F\u00edsicas (LPF)-TAGRALIA, Technical University of Madrid, Madrid 28040, Spain"}]}],"member":"1968","published-online":{"date-parts":[[2015,12,17]]},"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":"1","DOI":"10.1016\/S0378-3774(01)00184-6","article-title":"Studies of canopy structure and water use of apple trees on three rootstocks","volume":"55","author":"Li","year":"2002","journal-title":"Agric. Water Manag."},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"13533","DOI":"10.3390\/s150613533","article-title":"3D laser triangulation for plant phenotyping in challenging environments","volume":"15","author":"Kjaer","year":"2015","journal-title":"Sensors"},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"20078","DOI":"10.3390\/s141120078","article-title":"A review of imaging techniques for plant phenotyping","volume":"14","author":"Li","year":"2014","journal-title":"Sensors"},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"85","DOI":"10.1016\/0168-1923(94)02204-W","article-title":"Computer stereo plotting for 3-D reconstruction of a maize canopy","volume":"75","author":"Ivanov","year":"1995","journal-title":"Agric. For. Meteorol."},{"key":"ref_6","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":"Krajewski","year":"2010","journal-title":"Agric. For. Meteorol."},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"18587","DOI":"10.3390\/s150818587","article-title":"Structured light-based 3D reconstruction system for plants","volume":"15","author":"Nguyen","year":"2015","journal-title":"Sensors"},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"109","DOI":"10.1016\/j.compag.2014.09.005","article-title":"Automatic morphological trait characterization for corn plants via 3D holographic reconstruction","volume":"109","author":"Chaivivatrakul","year":"2014","journal-title":"Comput. Electron. Agric."},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"4019","DOI":"10.3390\/s150204019","article-title":"Digitization and visualization of greenhouse tomato plants in indoor environments","volume":"15","author":"Li","year":"2015","journal-title":"Sensors"},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"12999","DOI":"10.3390\/s150612999","article-title":"Matching the best viewing angle in depth cameras for biomass estimation based on poplar seedling geometry","volume":"15","author":"Dorado","year":"2015","journal-title":"Sensors"},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"108","DOI":"10.1016\/j.compag.2015.05.014","article-title":"Real time canopy density estimation using ultrasonic envelope signals in the orchard and vineyard","volume":"115","author":"Palleja","year":"2015","journal-title":"Comput. Electron. Agric."},{"key":"ref_12","doi-asserted-by":"crossref","unstructured":"Stafford, J.V. (2015). Precision Agriculture 2015, Wageningen Academic.","DOI":"10.3920\/978-90-8686-814-8"},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"9651","DOI":"10.3390\/s150509651","article-title":"Accuracy analysis of a multi-view stereo approach for phenotyping of tomato plants at the organ level","volume":"15","author":"Rose","year":"2015","journal-title":"Sensors"},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"124","DOI":"10.1016\/j.compag.2011.09.007","article-title":"A review of methods and applications of the geometric characterization of tree crops in agricultural activities","volume":"81","author":"Rosell","year":"2012","journal-title":"Comput. Electron. Agric."},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"253","DOI":"10.1006\/bioe.2002.0082","article-title":"It\u2014Information technology and the human interface: Comparison of different spray volume deposition models using lidar measurements of apple orchards","volume":"82","author":"Walklate","year":"2002","journal-title":"Biosyst. Eng."},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"128","DOI":"10.1016\/j.biosystemseng.2008.10.009","article-title":"A tractor-mounted scanning lidar for the non-destructive measurement of vegetative volume and surface area of tree-row plantations: A comparison with conventional destructive measurements","volume":"102","author":"Sanz","year":"2009","journal-title":"Biosyst. Eng."},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"1505","DOI":"10.1016\/j.agrformet.2009.04.008","article-title":"Obtaining the three-dimensional structure of tree orchards from remote 2D terrestrial lidar scanning","volume":"149","author":"Rosell","year":"2009","journal-title":"Agric. For. Meteorol."},{"key":"ref_18","doi-asserted-by":"crossref","first-page":"478","DOI":"10.1007\/s11119-013-9311-z","article-title":"Automatic corn plant location and spacing measurement using laser line-scan technique","volume":"14","author":"Shi","year":"2013","journal-title":"Precis. Agric."},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"10783","DOI":"10.3390\/s140610783","article-title":"Active optical sensors for tree stem detection and classification in nurseries","volume":"14","author":"Garrido","year":"2014","journal-title":"Sensors"},{"key":"ref_20","doi-asserted-by":"crossref","unstructured":"Stafford, J.V. (2015). Precision Agriculture 2015, Wageningen Academic.","DOI":"10.3920\/978-90-8686-814-8"},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"1019","DOI":"10.1016\/S0031-3203(98)80010-1","article-title":"New algorithms for 2D and 3D point matching: Pose estimation and correspondence","volume":"31","author":"Gold","year":"1998","journal-title":"Pattern Recognit."},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"239","DOI":"10.1109\/34.121791","article-title":"Method for registration of 3-D shapes","volume":"14","author":"Besl","year":"1992","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"ref_23","doi-asserted-by":"crossref","first-page":"762","DOI":"10.1016\/j.imavis.2006.01.009","article-title":"Automatic registration of overlapping 3D point clouds using closest points","volume":"24","author":"Liu","year":"2006","journal-title":"Image Vis. Comput."},{"key":"ref_24","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_25","doi-asserted-by":"crossref","first-page":"305","DOI":"10.1016\/j.compag.2010.09.005","article-title":"3D volumetric modeling of grapevine biomass using tripod LiDAR","volume":"74","author":"Keightley","year":"2010","journal-title":"Comput. Electron. Agric."},{"key":"ref_26","doi-asserted-by":"crossref","unstructured":"Reiser, D., Garrido, M., Vazquez, M., Paraforos, D.S., and Griepentrog, H.W. (2015, January 19\u201321). Crop row detection in maize for developing navigation algorithms under changing plant growth stages. Proceedings of Robot 2015, Second Iberian Robotics Conference, Lisbon, Portugal.","DOI":"10.1007\/978-3-319-27146-0_29"},{"key":"ref_27","unstructured":"Waldkirch, S.A. Laser Measurement Systems of the LMS100 Product Family: Operating Instructions. Available online: https:\/\/mysick.com\/saqqara\/im0031331.pdf."},{"key":"ref_28","unstructured":"Ritchie, S., Hanway, J., and Benson, G. (1992). How A Corn Plant Develops, Iowa State University of Science and Technology Cooperative Extension Service. Special Report No. 48."},{"key":"ref_29","unstructured":"Prentice Hall (1995). Introduction to Signal Processing, Pearson Education, Inc."},{"key":"ref_30","unstructured":"Trimble SPS930 Universal Total Stations Datasheet. Available online: http:\/\/construction.trimble.com\/sites\/construction.trimble.com\/files\/marketing_material\/022482\u20131867_Trimble_SPSx30_UTS_DS_0611_sec.pdf."},{"key":"ref_31","unstructured":"Kahaner, D., Moler, C., and Nash, S. (1989). Numerical Methods and Software, Prentice-Hall, Inc."},{"key":"ref_32","unstructured":"Sotoodeh, S. (2006, January 25\u201327). Outlier detection in laser scanner point clouds. Proceedings of the ISPRS Commission V Symposium \u201cImage Engineering and Vision Metrology\u201d, Dresden, Germany."},{"key":"ref_33","doi-asserted-by":"crossref","first-page":"2751","DOI":"10.3390\/s110302751","article-title":"Characterisation of the LMS200 laser beam under the influence of blockage surfaces. Influence on 3D scanning of tree orchards","volume":"11","year":"2011","journal-title":"Sensors"},{"key":"ref_34","doi-asserted-by":"crossref","first-page":"927","DOI":"10.1016\/j.robot.2008.08.005","article-title":"Towards 3D point cloud based object maps for household environments","volume":"56","author":"Rusu","year":"2008","journal-title":"Robot. Auton. Syst."},{"key":"ref_35","unstructured":"Kovesi, P. Matlab and Octave Functions for Computer Vision and Image Processing. Available online: http:\/\/www.peterkovesi.com\/matlabfns."},{"key":"ref_36","doi-asserted-by":"crossref","first-page":"543","DOI":"10.1007\/s10589-014-9643-2","article-title":"Robust registration of point sets using iteratively reweighted least squares","volume":"58","author":"Edlund","year":"2014","journal-title":"Comput. Optim. Appl."}],"container-title":["Remote Sensing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2072-4292\/7\/12\/15870\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,6,4]],"date-time":"2024-06-04T07:03:27Z","timestamp":1717484607000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2072-4292\/7\/12\/15870"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2015,12,17]]},"references-count":36,"journal-issue":{"issue":"12","published-online":{"date-parts":[[2015,12]]}},"alternative-id":["rs71215870"],"URL":"https:\/\/doi.org\/10.3390\/rs71215870","relation":{},"ISSN":["2072-4292"],"issn-type":[{"value":"2072-4292","type":"electronic"}],"subject":[],"published":{"date-parts":[[2015,12,17]]}}}