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Application of the Kinect sensor for three dimensional characterization of vine canopy

Published online by Cambridge University Press:  01 June 2017

F. Marinello ,
A. Pezzuolo ,
F. Meggio ,
J. A. Martínez-Casasnovas ,
T. Yezekyan  and
L. Sartori
F. Marinello*
Affiliation:
TeSAF, Department of Land, Environment, Agriculture and Forestry, University of Padova, Viale dell’Università 16, Legnaro, Italy
A. Pezzuolo
Affiliation:
TeSAF, Department of Land, Environment, Agriculture and Forestry, University of Padova, Viale dell’Università 16, Legnaro, Italy
F. Meggio
Affiliation:
DAFNAE, Department of Agronomy, Food, Natural resources, Animals and Environment, University of Padova, Viale dell’Università 16, Legnaro, Italy
J. A. Martínez-Casasnovas
Affiliation:
Research Group in AgroICT and Precision Agriculture – Agrotecnio Center, University of Lleida, Spain
T. Yezekyan
Affiliation:
Institute of Technology, Estonian University of Life Sciences, Fr. R. Kreutzwaldi 1, Tartu, Estonia
L. Sartori
Affiliation:
TeSAF, Department of Land, Environment, Agriculture and Forestry, University of Padova, Viale dell’Università 16, Legnaro, Italy
*
†E-mail: [email protected]
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Abstract

Monitoring grapevine canopy size and evolution during time is of great interest for the management of the vineyard. An interesting and cost effective solution for 3D characterization is provided by the Kinect sensor. To assess its practical applicability, field experiments were carried out on two different grapevines varieties (Glera and Merlot) for a three months period. The results from 3D digital imaging were compared with those achieved by direct hand-made measurements. Estimated volume was then effectively correlated to the number of leaves and to the leaf area index. The experiments demonstrated how a low cost 3D sensor can be applied for fast and repeatable reconstruction of vine vegetation, opening up for new potential improvements in variable rate application or pruning

Keywords

3D dynamic measurementRGB-DLAIvine canopy
Type
Precision Horticulture and Viticulture
Information
Advances in Animal Biosciences , Volume 8 , Special Issue 2: Papers presented at the 11th European Conference on Precision Agriculture (ECPA 2017), John McIntyre Centre, Edinburgh, UK, July 16–20 2017 , July 2017 , pp. 525 - 529
Copyright
© The Animal Consortium 2017 

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