Prospect and scope of artificial neural network in livestock farming: a review-Reference-Cited by-同舟云学术

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Prospect and scope of artificial neural network in livestock farming: a review

Published:2022-10-31 Issue:2 Volume:54 Page:249-262
ISSN:0929-1016
Container-title:Biological Rhythm Research
language:en
Short-container-title:Biological Rhythm Research

Author:

Rahman Mokidur¹^ORCID,Mandal Ajoy¹^ORCID,Gayari Indrajit¹^ORCID,Bidyalaxmi Kangabam¹^ORCID,Sarkar Debajyoti²,Allu Teja³^ORCID,Debbarma Asish⁴^ORCID

Affiliation:

1. Animal Genetics and Breeding, Eastern Regional Station, ICAR-NDRI, Kalyani, India, 741235

2. Animal Reproduction Gynaecology and Obstetrics, Eastern Regional Station, ICAR- NDRI, Kalyani, India, 741235

3. Animal Reproduction Gynaecology and Obstetrics, Southern Regional Station, ICAR-NDRI, Adugodi, India, 560030

4. Livestock Production and Management, Eastern Regional Station, ICAR-NDRI, Kalyani, India, 741235

Publisher

Informa UK Limited

Subject

Physiology (medical),Ecology, Evolution, Behavior and Systematics,Physiology

Link

https://www.tandfonline.com/doi/pdf/10.1080/09291016.2022.2139389

Reference108 articles.

1. Body weight prediction using different data mining algorithms in Thalli sheep: A comparative study

2. The Use of Artificial Neural Networks and a General Discriminant Analysis for Predicting Culling Reasons in Holstein-Friesian Cows Based on First-Lactation Performance Records

3. The use of artificial neural networks for modelling rumen fill

4. Predicting the Landscape of Recombination Using Deep Learning

5. Evolving artificial neural network and imperialist competitive algorithm for prediction oil flow rate of the reservoir

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