Application of Machine Learning Identification and Classification of Muturu and Keteku Cattle Species for a Smart Agricultural Practice in Developing Countries such as Nigeria

Smart technologies have drastically reshaped the traditional methods of practicing agriculture as witnessed in husbandry. In this paper, a novel application of machine learning identification and classification of Muturu and Keteku cattle species in Nigeria was proposed as the mainstream model that...

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Main Authors: R. W. Bello, E. S. Ikeremo, D. A. Olubummo
Format: Article
Language:English
Published: Joint Coordination Centre of the World Bank assisted National Agricultural Research Programme (NARP) 2022-07-01
Series:Journal of Applied Sciences and Environmental Management
Subjects:
Online Access:https://www.ajol.info/index.php/jasem/article/view/228274
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author R. W. Bello
E. S. Ikeremo
D. A. Olubummo
author_facet R. W. Bello
E. S. Ikeremo
D. A. Olubummo
author_sort R. W. Bello
collection DOAJ
description Smart technologies have drastically reshaped the traditional methods of practicing agriculture as witnessed in husbandry. In this paper, a novel application of machine learning identification and classification of Muturu and Keteku cattle species in Nigeria was proposed as the mainstream model that enables the precision and intelligence perception of animal husbandry for a smart agricultural practice using enhanced mask region-based convolutional neural networks (mask R-CNN). A performance accuracy of 0.92 mAP (mean Average Precision) was achieved by the enhanced mask R-CNN model, making it on a par with the existing models.
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spelling doaj.art-5e50092a94884c85acc98875bdd21a862024-04-02T19:46:45ZengJoint Coordination Centre of the World Bank assisted National Agricultural Research Programme (NARP)Journal of Applied Sciences and Environmental Management2659-15022659-14992022-07-0126710.4314/jasem.v26i7.11Application of Machine Learning Identification and Classification of Muturu and Keteku Cattle Species for a Smart Agricultural Practice in Developing Countries such as NigeriaR. W. BelloE. S. IkeremoD. A. Olubummo Smart technologies have drastically reshaped the traditional methods of practicing agriculture as witnessed in husbandry. In this paper, a novel application of machine learning identification and classification of Muturu and Keteku cattle species in Nigeria was proposed as the mainstream model that enables the precision and intelligence perception of animal husbandry for a smart agricultural practice using enhanced mask region-based convolutional neural networks (mask R-CNN). A performance accuracy of 0.92 mAP (mean Average Precision) was achieved by the enhanced mask R-CNN model, making it on a par with the existing models. https://www.ajol.info/index.php/jasem/article/view/228274Cattle;Livestock husbandry;Machine learning;convolutional neural networks;smart agricultural practice
spellingShingle R. W. Bello
E. S. Ikeremo
D. A. Olubummo
Application of Machine Learning Identification and Classification of Muturu and Keteku Cattle Species for a Smart Agricultural Practice in Developing Countries such as Nigeria
Journal of Applied Sciences and Environmental Management
Cattle;
Livestock husbandry;
Machine learning;
convolutional neural networks;
smart agricultural practice
title Application of Machine Learning Identification and Classification of Muturu and Keteku Cattle Species for a Smart Agricultural Practice in Developing Countries such as Nigeria
title_full Application of Machine Learning Identification and Classification of Muturu and Keteku Cattle Species for a Smart Agricultural Practice in Developing Countries such as Nigeria
title_fullStr Application of Machine Learning Identification and Classification of Muturu and Keteku Cattle Species for a Smart Agricultural Practice in Developing Countries such as Nigeria
title_full_unstemmed Application of Machine Learning Identification and Classification of Muturu and Keteku Cattle Species for a Smart Agricultural Practice in Developing Countries such as Nigeria
title_short Application of Machine Learning Identification and Classification of Muturu and Keteku Cattle Species for a Smart Agricultural Practice in Developing Countries such as Nigeria
title_sort application of machine learning identification and classification of muturu and keteku cattle species for a smart agricultural practice in developing countries such as nigeria
topic Cattle;
Livestock husbandry;
Machine learning;
convolutional neural networks;
smart agricultural practice
url https://www.ajol.info/index.php/jasem/article/view/228274
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