Affiliation:
1. School of Health Medical and Applied Sciences, CQUniversity, Rockhampton North, QLD 4701, Australia
2. School of Engineering and Technology, CQUniversity, Melbourne, VIC 3000, Australia
3. TerraCipher, Alton Downs, QLD 4702, Australia
Abstract
Simulation models are used in various areas of agriculture to better understand the system and assist in decision making. In the beef production sector, a variety of simulation research focusing on various dimensions of the system is available. However, an overview of the available research is lacking. Therefore, a systematic review was conducted to provide an overview of simulation studies of beef production and create an understanding of the simulation approaches used. Scopus, Web of Science, and ProQuest Central research databases were used to search the relevant articles, with the last search conducted in June 2023. Studies that developed or used simulation strategies and used beef cattle as a primary focus of the study were included. The 105 studies included in this review were examined thoroughly to record the authors, year of publication, country of study, type of study, focus area of the study, simulated scenarios, validation methods, and software programs used. There has been growing research interest in simulating beef production systems worldwide, with most studies conducted in North America and Europe. Among these studies, the majority (84.76%, n = 89) are biophysical or bioeconomic study types and use deterministic approaches (n = 42). Additionally, most studies have a whole-farm scope (38.09%, n = 40) and focus on productivity (51.43%, n = 54). Since only less than half of the studies mentioned the validation techniques and software programs used, there is a need to improve the availability of this information to ensure that the models are adopted effectively in decision making.
Funder
Central Queensland University and Meat and Livestock Australia
Cited by
1 articles.
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1. Impact of Weighing Frequency on the Determination of Daily Weights of Cattle;2024 International Conference on Data Science and Its Applications (ICoDSA);2024-07-10