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Food, fibre and pharmaceuticals from animals

Articles citing this paper

Application of machine-learning algorithms to predict calving difficulty in Holstein dairy cattle

Mahdieh Avizheh A , Mohammad Dadpasand A , Elena Dehnavi https://orcid.org/0000-0001-8238-6290 B and Hamideh Keshavarzi https://orcid.org/0000-0003-4987-4326 C *
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A Department of Animal Science, School of Agriculture, Shiraz University, Shiraz, Iran.

B AGBU, a Joint Venture of NSW Department of Primary Industries and University of New England, Armidale, NSW 2351, Australia.

C Agriculture and Food, Commonwealth Scientific and Industrial Research Organisation (CSIRO), Armidale, NSW 2350, Australia.

* Correspondence to: Hamideh.Keshavarzi@csiro.au

Handling Editor: Sue Hatcher

Animal Production Science 63(11) 1095-1104 https://doi.org/10.1071/AN22461
Submitted: 14 December 2022  Accepted: 24 April 2023   Published: 15 May 2023



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Application of machine learning algorithms to predict dead on arrival of broiler chickens raised without antibiotic program
Pirompud Pranee, Sivapirunthep Panneepa, Punyapornwithaya Veerasak, Chaosap Chanporn
Poultry Science. 2024 103(4). p.103504

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