fruit_detection_in_LiDAR_pointClouds

Dataset

DOI

This project is a matlab implementation for fruit detection in 3D point clouds acquired with LiDAR sensor Velodyne VLP-16 (Velodyne LIDAR Inc., San Jose, CA, USA).

This implementation was used to evaluate the LFuji-air dataset, which contains 3D LiDAR data of 11Fuji apple trees with the corresponding fruit position annotations.

MATLAB, R2018

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

Computer Vision System Toolbox Statistics and Machine Learning Toolbox

Identifier
DOI	https://doi.org/10.34810/data2323
Related Identifier	IsSupplementedBy https://doi.org/10.1016/j.compag.2019.105121
Metadata Access	https://dataverse.csuc.cat/oai?verb=GetRecord&metadataPrefix=oai_datacite&identifier=doi:10.34810/data2323

Provenance
Creator	Gené Mola, Jordi ; Gregorio López, Eduard ; Auat Cheein, Fernando ; Guevara, Javier (ORCID: 0000-0002-5802-641X); Llorens Calveras, Jordi ; Sanz Cortiella, Ricardo ; Escolà i Agustí, Alexandre ; Rosell Polo, Joan Ramon
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	1402; 527; 164; 1118; 2118; 4386; 1751; 1362; 440; 1088; 1194; 1068; 1394; 234; 35335; 20230; 2637; 1775; 691; 5543; 873; 2442; 1259
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