Apple size estimation using photogrammetry-derived 3D point clouds

Gené Mola, Jordi; Sanz Cortiella, Ricardo; Rosell Polo, Joan Ramon; Escolà i Agustí, Alexandre; Gregorio López, Eduard

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Issue date

2022

Author

Gené Mola, Jordi

Sanz Cortiella, Ricardo

Rosell Polo, Joan Ramon

Escolà i Agustí, Alexandre

Gregorio López, Eduard

Suggested citation

Gené Mola, Jordi; Sanz Cortiella, Ricardo; Rosell Polo, Joan Ramon; Escolà i Agustí, Alexandre; Gregorio López, Eduard; . (2022) . Apple size estimation using photogrammetry-derived 3D point clouds. 9th Annual Catalan Meeting on Computer Vision. September 19, 2022, Universitat Autònoma de Barcelona, (http://acmcv.cat/). http://hdl.handle.net/10459.1/84013.

Abstract

In-field fruit monitoring at different growth stages provides important information for farmers. Recent advances have focused on the detection and location of fruits, although the development of accurate fruit size estimation systems is still a challenge that requires further attention. The present work proposes a novel methodology for in-field measurement of spherical fruits using SfMMVS- based point clouds and considering different percentages of fruit occlusions.

Related resource

http://hdl.handle.net/10459.1/71933

URI

http://hdl.handle.net/10459.1/84013

Is part of

9th Annual Catalan Meeting on Computer Vision. September 19, 2022, Universitat Autònoma de Barcelona, (http://acmcv.cat/)