Apple size estimation using photogrammetry-derived 3D point clouds
2022
Gené Mola, Jordi | Sanz Cortiella, Ricardo | Rosell Polo, Joan Ramon | Escolà i Agustí, Alexandre | Gregorio López, Eduard
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.
Afficher plus [+] Moins [-]This work was partly funded by the Secretaria d’Universitats i Recerca de la Generalitat de Catalunya (grant 2017 SGR 646), the Spanish Ministry of Economy and Competitiveness (projects AGL2013-48297-C2-2-R and TEC2016-75976-R) and the Spanish Ministry of Science, Innovation and Universities (grant RTI2018- 094222-B-I00[PAgFRUIT project] by MCIN/AEI/10.13039/501100011033 and by “ERDF, a way of making Europe”, by the European Union).
Afficher plus [+] Moins [-]Mots clés AGROVOC
Informations bibliographiques
Cette notice bibliographique a été fournie par Universitat de Lleida
Découvrez la collection de ce fournisseur de données dans AGRIS