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
Přispěvatelé: Australian Government, Commonwealth Scientific and Industrial Research Organisation (Australia)
Jazyk: angličtina
Rok vydání: 2018
Předmět:
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