Sub-window inference: A novel approach for improved sheep counting in high-density aerial images-Reference-Cited by-同舟云学术

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Sub-window inference: A novel approach for improved sheep counting in high-density aerial images

Published:2024-10 Issue: Volume:225 Page:109271
ISSN:0168-1699
Container-title:Computers and Electronics in Agriculture
language:en
Short-container-title:Computers and Electronics in Agriculture

Author:

Biggs David R.^ORCID,Theart Rensu P.^ORCID,Schreve Kristiaan^ORCID

Publisher

Elsevier BV

Reference33 articles.

1. Review: Precision livestock farming technologies in pasture-based livestock systems;Aquilani;Animal,2022

2. Counting cattle in UAV images—Dealing with clustered animals and animal/background contrast changes;Barbedo;Sensors,2020

3. A study on the detection of cattle in UAV images using deep learning;Barbedo;Sensors,2019

4. Insect counting through deep learning-based density maps estimation;Bereciartua-Pérez;Comput. Electron. Agric.,2022

5. Improving object counting in aerial images with density-based threshold shifting;Biggs;Int. J. Remote Sens.,2023

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