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Sensors (Basel). 2018 Sep 3;18(9). pii: E2924. doi: 10.3390/s18092924.

Fast Phenomics in Vineyards: Development of GRover, the Grapevine Rover, and LiDAR for Assessing Grapevine Traits in the Field.

Author information

1
CSIRO Agriculture and Food, Waite Campus, Urrbrae 5064, Adelaide, Australia. m.h.siebers@gmail.com.
2
CSIRO Agriculture and Food, Waite Campus, Urrbrae 5064, Adelaide, Australia. everard.edwards@csiro.au.
3
High Resolution Plant Phenomics Centre (HRPPC), Australian Plant Phenomics Facility (APPF), Cnr Clunies Ross St and Barry Dr, Acton 2601, Canberra, Australia. berni@ias.csic.es.
4
Instituto de Agricultura Sostenible (IAS), Consejo Superior de Investigaciones Científicas (CSIC), 14004 Córdoba, Spain. berni@ias.csic.es.
5
CSIRO Agriculture and Food, CSIRO Black Mountain Science and Innovation Park, Cnr Clunies Ross St and Barry Dr, Acton 2601, Canberra, Australia. berni@ias.csic.es.
6
CSIRO Agriculture and Food, Waite Campus, Urrbrae 5064, Adelaide, Australia. mark.r.thomas@csiro.au.
7
High Resolution Plant Phenomics Centre (HRPPC), Australian Plant Phenomics Facility (APPF), Cnr Clunies Ross St and Barry Dr, Acton 2601, Canberra, Australia. michael.salim@csiro.au.
8
CSIRO Agriculture and Food, CSIRO Black Mountain Science and Innovation Park, Cnr Clunies Ross St and Barry Dr, Acton 2601, Canberra, Australia. michael.salim@csiro.au.
9
CSIRO Agriculture and Food, Waite Campus, Urrbrae 5064, Adelaide, Australia. rob.walker@csiro.au.

Abstract

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.

KEYWORDS:

grapevine; light detection and ranging (LiDAR); phenomics; proximal sensing

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