Multiple orange detection and tracking with 3-D fruit relocalization and neural-net based yield regression in commercial sweet orange orchards-Reference-Cited by-同舟云学术

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Multiple orange detection and tracking with 3-D fruit relocalization and neural-net based yield regression in commercial sweet orange orchards

Published:2024-09 Issue: Volume:224 Page:109199
ISSN:0168-1699
Container-title:Computers and Electronics in Agriculture
language:en
Short-container-title:Computers and Electronics in Agriculture

Author:

Santos Thiago T.^ORCID,de Souza Kleber X.S.,Camargo Neto João,Koenigkan Luciano V.,Moreira Alécio S.,Ternes Sônia

Publisher

Elsevier BV

Reference39 articles.

1. Evaluating multiple object tracking performance: The CLEAR MOT metrics;Bernardin;EURASIP J. Image Video Process.,2008

2. Simple online and realtime tracking;Bewley,2016

3. Uso de redes neurais convolucionais para detecção de laranjas no campo;Camargo Neto,2019

4. APPLE MOTS: Detection, Segmentation and Tracking of Homogeneous Objects Using MOTS;de Jong;IEEE Robot. Autom. Lett.,2022

5. Factor graphs: Exploiting structure in robotics;Dellaert;Annu. Rev. Control, Robotics, Auton. Syst.,2021

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