apple_size_estimation_in_3D_point_clouds

DOI

Apple size estimation using photogrammetry-derived 3D point clouds. This project is a matlab implementation for apple size estimation in 3D point clouds. Four different size estimation methods are implemented: largest segment, least squares, MSAC and template matching.

MATLAB, R2020a

This software is stored and maintained in the following github repository: https://github.com/GRAP-UdL-AT/apple_size_estimation_in_3D_point_clouds

Computer Vision System Toolbox Statistics and Machine Learning Toolbox

Identifier
DOI https://doi.org/10.34810/data2321
Related Identifier IsSupplementedBy https://doi.org/10.1016/j.compag.2021.106343
Related Identifier IsSupplementedBy https://doi.org/10.1016/j.dib.2021.107629
Metadata Access https://dataverse.csuc.cat/oai?verb=GetRecord&metadataPrefix=oai_datacite&identifier=doi:10.34810/data2321
Provenance
Creator Gené Mola, Jordi ORCID logo; Sanz Cortiella, Ricardo ORCID logo; Rosell Polo, Joan Ramon ORCID logo; Escolà i Agustí, Alexandre ORCID logo; Gregorio López, Eduard ORCID logo
Publisher CORA.Repositori de Dades de Recerca
Contributor Gené Mola, Jordi; Universitat de Lleida; Centre de Recerca en Agrotecnologia
Publication Year 2025
Funding Reference Agencia Estatal de Investigación RTI2018-094222-B-I00 ; European Union ERDF, a way of making Europe
Rights MIT; info:eu-repo/semantics/openAccess; https://opensource.org/licenses/MIT
OpenAccess true
Contact Gené Mola, Jordi (Universitat de Lleida)
Representation
Resource Type Program source code; Dataset
Format text/x-matlab; text/plain; charset=US-ASCII; text/markdown
Size 481; 1055; 466; 1401; 31779; 4928; 13589; 1068; 1304; 3218; 632; 12485
Version 1.0
Discipline Agricultural Sciences; Agriculture, Forestry, Horticulture, Aquaculture; Agriculture, Forestry, Horticulture, Aquaculture and Veterinary Medicine; Construction Engineering and Architecture; Engineering; Engineering Sciences; Life Sciences