Development of Precision Feed Technology Model for Ruminant Livestock Based on Nutritional Sensors

Authors

  • Hajar Hajar Universitas Sulawesi Tenggara Author
  • Inal Inal Universitas Sulawesi Tenggara Author
  • Awal Maulid Sari Universitas Sulawesi Tenggara Author
  • La Oge Universitas Sulawesi Tenggara Author

DOI:

https://doi.org/10.64690/agrones.v1i4.627

Keywords:

Precision Feeding, Ruminant Livestock, Nutritional Sensors, Precision Feeding Model, Livestock Technology

Abstract

Feeding is a key factor in ruminant livestock production systems, often ignoring the variations in individual nutritional needs of livestock, reducing efficiency and increasing feed waste. Therefore, this study aims to examine and develop a precision feeding technology model concept for ruminant livestock based on nutritional sensors through a descriptive-interpretive approach based on the latest scientific literature. The results show that the use of nutritional sensors, rumen sensors, feed consumption sensors, and feeding behavior sensors allows for real-time monitoring of livestock physiological conditions and nutritional status. Integration of sensor data into an adaptive nutrition model has been shown to improve the accuracy of estimating individual nutritional requirements, reduce the risk of overfeeding and underfeeding, and increase feed efficiency. Further discussion shows that although precision feeding technology has developed rapidly, its application is still dominated by intensive livestock systems in developed countries.

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Published

2026-01-31

Issue

Vol. 1 No. 4 (2026): Januari 2026 Edition

Section

Articles

License

Copyright (c) 2026 Hajar Hajar, Inal Inal, Awal Maulid Sari, La Oge (Author)

Creative Commons License

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

How to Cite

Development of Precision Feed Technology Model for Ruminant Livestock Based on Nutritional Sensors. (2026). Journal of Agriculture, Agribusiness, Welfare, Technology, Humanity, Environment, Social, and Economy, 1(4), 223-231. https://doi.org/10.64690/agrones.v1i4.627

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