Smart Temperature and Humidity Control in Pig House by Improved Three-Way K-Means

Haopu Li, Haoming Li, Bugao Li, Jiayuan Shao, Yanbo Song and Zhenyu Liu ()
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Haopu Li: College of Agricultural Engineering, Shanxi Agriculture University, Jinzhong 030801, China
Haoming Li: College of Information Science and Engineering, Shanxi Agriculture University, Jinzhong 030801, China
Bugao Li: College of Animal Science, Shanxi Agriculture University, Jinzhong 030801, China
Jiayuan Shao: College of Agricultural Engineering, Shanxi Agriculture University, Jinzhong 030801, China
Yanbo Song: College of Life Sciences, Shanxi Agriculture University, Jinzhong 030801, China
Zhenyu Liu: College of Agricultural Engineering, Shanxi Agriculture University, Jinzhong 030801, China

Agriculture, 2023, vol. 13, issue 10, 1-22

Abstract: Efficiently managing temperature and humidity in a pig house is crucial for enhancing animal welfare. This research endeavors to develop an intelligent temperature and humidity control system grounded in a three-way decision and clustering algorithm. To establish and validate the effectiveness of this intelligent system, experiments were conducted to compare its performance against a naturally ventilated pig house without any control system. Additionally, comparisons were made with a threshold-based control system to evaluate the duration of temperature anomalies. The experimental findings demonstrate a substantial improvement in temperature regulation within the experimental pig house. Over a 24 h period, the minimum temperature increased by 4 °C, while the maximum temperature decreased by 8 °C, approaching the desired range. Moreover, the average air humidity decreased from 73.4% to 68.2%. In summary, this study presents a precision-driven intelligent control strategy for optimizing temperature and humidity management in pig housing facilities.

Keywords: three-way k-means; temperature control; humidity control; pig house; microclimate (search for similar items in EconPapers)
JEL-codes: Q1 Q10 Q11 Q12 Q13 Q14 Q15 Q16 Q17 Q18 (search for similar items in EconPapers)
Date: 2023
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