Digital Mapping of Pruning Weight in Vineyards in the Framework of Precision Viticulture

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Authors: Aristotelis C. Tagarakis, Katerina Biniari, Ioannis Daskalakis, Dimitrios Katerıs, Athanasios Τ. Balafoutis, Dionysis Bochtis
Cited by: 0
References: 4

Abstract

This study showcases the potential of utilizing LiDAR sensing technologies as an automated, efficient, and rapid method for mapping winter pruning wood across vineyards. It was conducted in 2024 in a commercial vineyard in the region of Attica in Greece in the framework of the “AGROSYS” project. The experimental area was 3.5 ha grown with the Savvatiano variety. Cane weight data were collected manually at pruning, while soil spatial variability and canopy properties were mapped and analyzed. The regression analysis of the three-dimensional point clouds and the manual measurements of pruning weight revealed a strong relationship. This signifies the high potential of accurate mapping of dormant pruning canes across vineyards using rapid and time-efficient digital methods. The analysis also revealed strong relationships with the NDRE and canopy temperature at harvest.

Fields of Study & Subjects

Remote Sensing and LiDAR Applications Remote Sensing in Agriculture Horticultural and Viticultural Research

Publication details

Journal / source
International Conference of the Hellenic Association of Agricultural Economists
Pages
43–43
Publication date
14 January 2026
Language
EN