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Precision Agriculture

, Volume 20, Issue 4, pp 805–822 | Cite as

Spatial variability in commercial orange groves. Part 2: relating canopy geometry to soil attributes and historical yield

  • André F. ColaçoEmail author
  • José P. Molin
  • Joan R. Rosell-Polo
  • Alexandre Escolà
Article
  • 245 Downloads

Abstract

Site-specific management strategies are usually dependant on the understanding of the underlying cause and effect relationships that occur at the within-field level. The assessment of canopy geometry of tree crops has been facilitated in recent years through the development of light detection and ranging sensors mounted on terrestrial platforms. The main objective of this study was to uncover the factors driving orange tree variability in commercial orange groves. Secondly, this study sought to investigate whether tree geometry information derived from a terrestrial sensing platform is useful information to guide management zones delineation in such groves. A database of soil physical attributes, elevation, historical yield and canopy geometry (canopy volume and height) was analysed in three commercial orange groves in São Paulo, Brazil. Canopy geometry and historical yield were correlated with soil attributes in two of the three groves evaluated; in these groves, the correlation coefficient between yield and soil/landscape information was often above 0.6, depending on the year. Zones of different tree sizes presented different historical yield and soil properties in all three groves. In conclusion, assessing canopy volume provides useful information to delineate management zones and guide enhanced site-specific management strategies.

Keywords

Precision horticulture Management zones Mobile terrestrial laser scanner LiDAR Site-specific management Orange groves 

Notes

Acknowledgements

We thank Citrosuco and Jacto companies for supporting this project, the São Paulo Research Foundation (FAPESP) for providing a scholarship to the first author (grant: 2013/18853-0) and the Coordination for the Improvement of Higher Education Personnel (CAPES), for funding the first author as an exchange visitor at the University of Lleida (Grant: bex_3751/15-5).

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Copyright information

© Springer Science+Business Media, LLC, part of Springer Nature 2018

Authors and Affiliations

  1. 1.Biosystems Engineering Department, ‘Luiz de Queiroz’ College of AgricultureUniversity of São PauloPiracicabaBrazil
  2. 2.Research Group on AgroICT & Precision Agriculture, Department of Agricultural and Forest Engineering, School of Agrifood and Forestry Science and EngineeringUniversity of Lleida – Agrotecnio CenterLleidaSpain
  3. 3.CSIROGlen OsmondAustralia

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