Pham, Manh Linh and Nguyen, Ba Hieu and Nguyen, Hoai Son and Lê, Huy Hàm (2021) Simulation of precision feeding systems for swine. In: The 13th International Conference on KNOWLEDGE AND SYSTEMS ENGINEERING (KSE 2021), 10-12 Nov 2021, Bangkok, Thailand. (In Press)
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Abstract
Precision livestock farming has become an inevitable trend for agricultural industry in the world. In that field, precision feeding is widely acknowledged because of its potential to reduce feed costs, environmental footprint and to improve animal health and welfare. Precision feeding involves modern multidisciplinary technologies such as information technology, mechanics, electronics, automation, etc. Such a system consists of automatic troughs linked to a computer system to exploit data collected from the individual animals (e.g. body weight, feed intake and feeding behaviour), and/or from ambient sensors. Data is processed and analysed based on mathematical models to make predictions, warnings for farmers or to formulate diets that fit requirements of each individual animal at each production period. However, implementing such a system often requires high investment, which may go beyond the capabilities of smallholders and small/medium laboratories. Furthermore, the risk of implementing by design but not conforming to reality is very high. To avoid this problem, we introduce an agent-based modelling approach to simulate precision feeding systems for swine. Two simulation experiments were conducted to provide predictions about the growth of individual pigs and the usefulness of precision feeding systems over classic feeding models.
| Item Type: | Conference or Workshop Item (Paper) |
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| Uncontrolled Keywords: | precision feeding system, simulation, agentbased modelling, swine, efficiency |
| Subjects: | Information Technology (IT) Agriculture Technology |
| Divisions: | Center of Multidisciplinary Integrated Technologies for Field Monitoring (FIMO) Faculty of Information Technology (FIT) |
| Depositing User: | Dr. Mạnh Linh Phạm |
| Date Deposited: | 16 Nov 2021 04:38 |
| Last Modified: | 16 Nov 2021 04:38 |
| URI: | http://eprints.uet.vnu.edu.vn/eprints/id/eprint/4648 |
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