Fast Phenomics in Vineyards: Development of GRover, the Grapevine Rover, and LiDAR for Assessing Grapevine Traits in the Field
Autor: | Michael Salim, Rob R. Walker, José A. Jiménez-Berni, Everard J. Edwards, Matthew H. Siebers, Mark R. Thomas |
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Přispěvatelé: | Australian Government, Commonwealth Scientific and Industrial Research Organisation (Australia) |
Jazyk: | angličtina |
Rok vydání: | 2018 |
Předmět: |
0106 biological sciences
Vine Computer science ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION lcsh:Chemical technology 01 natural sciences Biochemistry Vineyard Article Field (computer science) Analytical Chemistry Phenomics lcsh:TP1-1185 Electrical and Electronic Engineering Instrumentation Remote sensing proximal sensing Light detection and ranging (LiDAR) phenomics 04 agricultural and veterinary sciences Atomic and Molecular Physics and Optics grapevine light detection and ranging (LiDAR) Lidar 040103 agronomy & agriculture 0401 agriculture forestry and fisheries Grapevine Proximal sensing Pruning 010606 plant biology & botany |
Zdroj: | Sensors Volume 18 Issue 9 Sensors (Basel, Switzerland) Sensors, Vol 18, Iss 9, p 2924 (2018) Digital.CSIC. Repositorio Institucional del CSIC instname |
ISSN: | 1424-8220 |
DOI: | 10.3390/s18092924 |
Popis: | This paper introduces GRover (the grapevine rover), an adaptable mobile platform for the deployment and testing of proximal imaging sensors in vineyards for the non-destructive assessment of trunk and cordon volume and pruning weight. A SICK LMS-400 light detection and ranging (LiDAR) radar mounted on GRover was capable of producing precise (±3 mm) 3D point clouds of vine rows. Vineyard scans of the grapevine variety Shiraz grown under different management systems at two separate locations have demonstrated that GRover is able to successfully reproduce a variety of vine structures. Correlations of pruning weight and vine wood (trunk and cordon) volume with LiDAR scans have resulted in high coefficients of determination (R2 = 0.91 for pruning weight; 0.76 for wood volume). This is the first time that a LiDAR of this type has been extensively tested in vineyards. Its high scanning rate, eye safe laser and ability to distinguish tissue types make it an appealing option for further development to offer breeders, and potentially growers, quantified measurements of traits that otherwise would be difficult to determine. This project was partly funded by Australia’s grape growers and winemakers through their investment body Wine Australia with matching funds from the Australian Federal Government. Additional funds for this work were provided by Commonwealth Scientific and Industrial Research Organisation (CSIRO). |
Databáze: | OpenAIRE |
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