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Proposal System for Monitoring Parameters in an Industrial Incubator Incorporating SVM Model to Detect Diseased Chickens

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Intelligent Systems and Networks (ICISN 2021)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 243))

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Abstract

The development of artificial poultry eggs has facilitated farming that allows it to become not only higher productive industry but also lower production costs in agriculture. In recent years, a lot of advanced technology has been applied in high-tech agriculture. The type of automatic incubator can adjust the temperature and humidity factors to achieve high efficiency. In the paper, we present details design of the parameter monitoring system in an industrial incubator with support vector machine (SVM) model in detecting sick chickens based on voice processing. These parameters sending to the central server for monitoring and training models to classify sounds will be used to predict healthy. Experimental results show that the proposed model meets real-time requirements with accuracy over 90% and processing time of less than one minute.

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Acknowledgment

This research is carried out in the framework of the project funded by the Ministry of Education and Training (MOET), Vietnam under the grant B2020-BKA-06. The authors would like to thank the MOET for their financial support.

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Authors and Affiliations

  1. School of Electronics and Telecommunications, Hanoi University of Science and Technology, Hanoi, Vietnam

    Phat Nguyen Huu

Authors
  1. Phat Nguyen Huu
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Correspondence to Phat Nguyen Huu .

Editor information

Editors and Affiliations

  1. Phenikaa University, Hanoi, Vietnam

    Duc-Tan Tran

  2. Department of Embedded Systems Engineering, Incheon National University, Incheon, Korea (Republic of)

    Gwanggil Jeon

  3. Hanoi University of Industry, Hanoi, Vietnam

    Thi Dieu Linh Nguyen

  4. University of Huddersfield, Huddersfield, UK

    Joan Lu

  5. University of Transport Technology, Hanoi, Vietnam

    Thu-Do Xuan

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Huu, P.N. (2021). Proposal System for Monitoring Parameters in an Industrial Incubator Incorporating SVM Model to Detect Diseased Chickens. In: Tran, DT., Jeon, G., Nguyen, T.D.L., Lu, J., Xuan, TD. (eds) Intelligent Systems and Networks . ICISN 2021. Lecture Notes in Networks and Systems, vol 243. Springer, Singapore. https://doi.org/10.1007/978-981-16-2094-2_1

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