Automatic estimation of number of piglets in a pen during farrowing, using image analysis-Reference-Cited by-同舟云学术

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Automatic estimation of number of piglets in a pen during farrowing, using image analysis

Published:2016-11 Issue: Volume:151 Page:81-89
ISSN:1537-5110
Container-title:Biosystems Engineering
language:en
Short-container-title:Biosystems Engineering

Author:

Oczak Maciej,Maschat Kristina,Berckmans Daniel,Vranken Erik,Baumgartner Johannes^ORCID

Funder

Provincial Government of Niederösterreich

Ethical Committee of the Austrian Federal Ministry of Science, Research and Economy

Ethical Committee of Vetmeduni Vienna

Publisher

Elsevier BV

Subject

Soil Science,Agronomy and Crop Science,Food Science,Control and Systems Engineering

Reference44 articles.

1. Crushing of piglets by the mother sow (Sus scrofa)—purely accidental or a poor mother?;Andersen;Applied Animal Behaviour Science,2005

2. Hidden phase-type Markov model for the prediction of onset of farrowing for loose-housed sows;Aparna;Computers and Electronics in Agriculture,2014

3. Application of a fully automatic analysis tool to assess the activity of broiler chickens with different gait scores;Aydin;Computers and Electronics in Agriculture,2010

4. Basic principles of PLF: Gold standard, labelling and field data;Berckmans,2013

5. Image analysis to measure activity index of animals;Bloemen;Equine Veterinary Journal,1997

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1. Pose estimation of sow and piglets during free farrowing using deep learning;Journal of Agriculture and Food Research;2024-06

2. Farmers’ Perspectives of the Benefits and Risks in Precision Livestock Farming in the EU Pig and Poultry Sectors;Animals;2023-09-09

3. A novel method for automatically analysing the activity of fast-moving animals: a case study of Callimico goeldii monkeys housed in a zoological garden;Scientific Reports;2023-07-16

4. An Improved Pig Counting Algorithm Based on YOLOv5 and DeepSORT Model;Sensors;2023-07-11

5. New insights into factors affecting piglet crushing and anti-crushing techniques;Livestock Science;2022-11

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