Use of data mining algorithms to predict body weight of Dorper sheep Breed in two selected villages of Lepelle-Nkumpi local municipality in Limpopo province, South Africa-Reference-Cited by-同舟云学术

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Use of data mining algorithms to predict body weight of Dorper sheep Breed in two selected villages of Lepelle-Nkumpi local municipality in Limpopo province, South Africa

Published:2024-08 Issue: Volume:8 Page:100479
ISSN:2772-3755
Container-title:Smart Agricultural Technology
language:en
Short-container-title:Smart Agricultural Technology

Author:

Phaladi Abigail Mmapaseka^ORCID,Tyasi Thobela Louis^ORCID,Tada Obert^ORCID,Mogashoa Stanley

Funder

NRF

Publisher

Elsevier BV

Reference35 articles.

1. Application of Biometric traits for predicting weaning weight of Dorper sheep using path analysis;Molabe;Int. J. Vet. Sci.,2021

2. Production characteristics and management practices of indigenous Tswana sheep in southern districts of Botswana;Bolowe;Animals,2022

3. Indigenous breeding practices and selection criteria of sheep breed in Selale area, Central Ethiopia;Abera;Int. J. Livest. Res.,2014

4. Prediction of body weight from morphological traits of South African non-descript indigenous goats of Lepelle-Nkumbi Local Municipality using different data mining algorithm;Mathapo;Trop. Anim. Health Prod.,2022

5. Prediction of body weight from linear body measurements in sheep;Kumar;Indian J. Anim. Res.,2018

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