Vol. 18 No. 1 (2012)
Articles

Integration of terrestrial laser scanning and spectral canopy scanner in horticulture applications

Published April 25, 2012
J. Tamás
University of Debrecen, Institute of Water and Environmental Management, Debrecen, 4032 Böszörményi str. 138.
P. Riczu
University of Debrecen, Institute of Water and Environmental Management, Debrecen, 4032 Böszörményi str. 138.
A. Nagy
University of Debrecen, Institute of Water and Environmental Management, Debrecen, 4032 Böszörményi str. 138.
J. Nyéki
University of Debrecen, Institute for Research and Development, Debrecen, 4032. Böszörményi str. 138.
I. Gonda
University of Debrecen, Institute for Research and Development, Debrecen, 4032. Böszörményi str. 138.
Z. Szabó
University of Debrecen, Institute for Research and Development, Debrecen, 4032. Böszörményi str. 138.
pdf

APA

Tamás, J., Riczu, P., Nagy, A., Nyéki, J., Gonda, I., & Szabó, Z. (2012). Integration of terrestrial laser scanning and spectral canopy scanner in horticulture applications. International Journal of Horticultural Science, 18(1), 15-18. https://doi.org/10.31421/IJHS/18/1/987

One of the most difficult challenge in the everyday practice to describe the canopy growing of fruit trees in an orchard. The photosynthetic activity is the basic of the primer production of plants. The measurement of leaf area and determination of the photosynthetic activity could be occurred with some elaborated methods between experimental conditions. In this article we present such an integrated methodology, which is ideal to determine the geometric and spectral characteristic of fruit trees between field conditions.We have carried out laser scanning technology to investigate the geometric-topological characteristics and parallel the active infra-red sensor to collect spectral data about an apple orchard. The surveys were worked out in an intensive apple orchard with drip irrigation system, protected by hail net in Study and Regional Research Farm of the University of Debrecen near Pallag. This study shows the filtering and interpretation methods of created data. The produced high accuracy data can be directly used in the precision horticulture. It could serve as a guiding data to implementation a future “virtual horticulture”. Higher spatial and temporal resolution could help for a better recognition of water balance of orchards.

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