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Orange tree canopy volume estimation by manual and LiDAR-based methods

Published online by Cambridge University Press:  01 June 2017

A. F. Colaço ,
R. G. Trevisan ,
J. P. Molin ,
J. R. Rosell-Polo  and
A. Escolà
A. F. Colaço*
Affiliation:
University of São Paulo, ‘Luiz de Queiroz’ College of Agriculture, Biosystems Engineering Department, Piracicaba-SP, Brazil
R. G. Trevisan
Affiliation:
University of São Paulo, ‘Luiz de Queiroz’ College of Agriculture, Biosystems Engineering Department, Piracicaba-SP, Brazil
J. P. Molin
Affiliation:
University of São Paulo, ‘Luiz de Queiroz’ College of Agriculture, Biosystems Engineering Department, Piracicaba-SP, Brazil
J. R. Rosell-Polo
Affiliation:
University of Lleida – Agrotecnio Center, School of Agrifood and Forestry Science and Engineering, Department of Agricultural and Forest Engineering, Research Group on AgroICT & Precision Agriculture, Lleida - Catalonia, Spain
A. Escolà
Affiliation:
University of Lleida – Agrotecnio Center, School of Agrifood and Forestry Science and Engineering, Department of Agricultural and Forest Engineering, Research Group on AgroICT & Precision Agriculture, Lleida - Catalonia, Spain
*
†E-mail: andre.colaco@usp.br
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Abstract

LiDAR (Light detection and ranging) technology is an alternative to current manual methods of canopy geometry estimations in orange trees. The objective of this work was to compare different types of canopy volume estimations of orange trees, some inspired on manual methods and others based on a LiDAR sensor. A point cloud was generated for 25 individual trees using a laser scanning system. The convex-hull and the alpha-shape surface reconstruction algorithms were tested. LiDAR derived models are able to represent orange trees more accurately than traditional methods. However, results differ significantly from the current manual method. In addition, different 3D modeling algorithms resulted in different canopy volume estimations. Therefore, a new standard method should be developed and established.

Keywords

tree cropslaser scannerconvex-hullalpha-shapecitrus
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. 477 - 480
Copyright
© The Animal Consortium 2017 

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References

Auat Cheein, FA, Guivant, J, Sanz, R, Escolà, A, Yandún, F, Torres-Torriti, M and Rosell-Polo, JR 2015. Real-time approaches for characterization of fully and partially scanned canopies in groves. Computers and Electronics in Agriculture 118, 361–371.CrossRefGoogle Scholar
CONAB. COMPANHIA NACIONAL DE ABASTESCIMENTO 2013. Acompanhamento de safra brasileira: laranja, terceiro levantamento, dezembro/2013. Brasília, 16p.Google Scholar
Del-Moral-Martínez, I, Arnó, J, Escolà, A, Sanz, R, Masip-Vilalta, J, Company-Mesa, J and Rosell-Polo, JR 2015. Georeferenced Scanning System to Estimate the Leaf Wall Area in Tree Crops. Sensors 15 (4), 8382–8405.Google Scholar
Dworak, V, Selbeck, J and Ehlert, D 2011. Ranging sensors for vehicle-based measurement of crop stand and orchard parameters: a review. Transactions Of The Asabe 54 (4), 1497–1510.Google Scholar
Escolà, A, Martínez-Casasnovas, JA, Rufat, J, Arnó, J, Arbonés, A, Sebé, F, Pascual, M, Gregorio, E and Rosell-Polo, JR 2016. Mobile terrestrial laser scanner applications in precision fruticulture/horticulture and tools to extract information from canopy point clouds. Precision Agriculture, in press. DOI: 10.1007/s11119-016-9474-5 CrossRefGoogle Scholar
Escolà, A, Rosell-Polo, JR, Planas, S, Gil, E, Pomar, J, Camp, F and Solanelles, F 2013. Variable rate sprayer. Part 1 – Orchard prototype: Design, implementation and validation. Computers and Electronics in Agriculture 95, 122–135.Google Scholar
Rosell-Polo, JR, Llorens, J, Sanz, R, Arnó, J, Ribes-Dasi, M, Masip, J, Escolà, A, Camp, F, Solanelles, F, Gràcia, F, Gil, E, Val, L, Planas, S and Palacín, J 2009. Obtaining the three-dimensional structure of tree orchards from remote 2D terrestrial LIDAR scanning. Agricultural and Forest Meteorology 149 (9), 1505–1515.Google Scholar
Rosell-Polo, JR and Sanz, R 2012. A review of methods and applications of the geometric characterization of tree crops in agricultural activities. Computers and Electronics in Agriculture 81, 124–141.CrossRefGoogle Scholar