Video-Based Fruit Detection and Tracking for Apple Counting and Mapping-Reference-Cited by-同舟云学术

Video-Based Fruit Detection and Tracking for Apple Counting and Mapping

Published:2023-11-06 Issue: Volume: Page:301-306
ISSN:
Container-title:2023 IEEE International Workshop on Metrology for Agriculture and Forestry (MetroAgriFor)
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Author:

Gené-Mola Jordi¹,Felip-Pomés Marc²,Net-Barnés Francesc³,Morros Josep-Ramon⁴,Miranda Juan C.²,Arnó Jaume²,Asín Luís¹,Lordan Jaume¹,Ruiz-Hidalgo Javier⁴,Gregorio Eduard²

Affiliation:

1. Institute of AgriFood Research and Technology (IRTA),Fruitcentre, Parc Científic i Tecnològic Agroalimentari de Gardeny (PCiTAL),Lleida,Catalonia,Spain

2. Universitat de Lleida (UdL) – Agrotecnio-CERCA Center,Research Group in AgroICT& Precision Agriculture – GRAP,Department of Agricultural and Forest Sciences and Engineering,Lleida,Catalonia,Spain

3. Computer Vision Center, Campus UAB,Barcelona,Catalonia,Spain

4. Universitat Politècnica de Catalunya,Department of Signal Theory and Communications,Barcelona,Catalonia,Spain

Funder

Generalitat de Catalunya

European Social Fund

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10424027/10424015/10424135.pdf?arnumber=10424135

Reference19 articles.

1. Fruit yield prediction and estimation in orchards: A state-of-the-art comprehensive review for both direct and indirect methods

2. Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks

3. You Only Look Once: Unified, Real-Time Object Detection

4. Looking behind occlusions: A study on amodal segmentation for robust on-tree apple fruit size estimation

5. Development and evaluation of automated localisation and reconstruction of all fruits on tomato plants in a greenhouse based on multi-view perception and 3D multi-object tracking