Version 1
: Received: 27 July 2023 / Approved: 27 July 2023 / Online: 28 July 2023 (02:36:29 CEST)
How to cite:
Chen, J.; Tsai, A.; Tseng, T.; Liang, Y. The Impact of Air Quality on Sow Feeding and Fecal Health. Preprints2023, 2023071932. https://doi.org/10.20944/preprints202307.1932.v1
Chen, J.; Tsai, A.; Tseng, T.; Liang, Y. The Impact of Air Quality on Sow Feeding and Fecal Health. Preprints 2023, 2023071932. https://doi.org/10.20944/preprints202307.1932.v1
Chen, J.; Tsai, A.; Tseng, T.; Liang, Y. The Impact of Air Quality on Sow Feeding and Fecal Health. Preprints2023, 2023071932. https://doi.org/10.20944/preprints202307.1932.v1
APA Style
Chen, J., Tsai, A., Tseng, T., & Liang, Y. (2023). The Impact of Air Quality on Sow Feeding and Fecal Health. Preprints. https://doi.org/10.20944/preprints202307.1932.v1
Chicago/Turabian Style
Chen, J., Tzu-I Tseng and Yu-Chuan Liang. 2023 "The Impact of Air Quality on Sow Feeding and Fecal Health" Preprints. https://doi.org/10.20944/preprints202307.1932.v1
Abstract
This study proposes an image recognition method to assist swine farm managers in collecting health data related to pig feeding and excretion. Analyzing the correlation between sow health data and indoor air quality in the pigsties revealed significant influences of air quality indicators on sow health. Increased levels of TVOC, CO2, and temperature were found to negatively affect feeding health, while increased temperature, humidity, and PM10 were found to negatively impact excretion health. These findings provide a basis for evaluating variables when constructing future sow disease prediction models. Analyzing the correlation between pig health status and air quality can help swine farm managers improve sow production environments, reduce disease risks, enhance production efficiency, and provide valuable insights for future research on disease prediction models.
Keywords
precision livestock farming (PLF); image recognition model; feeding and fecal health
Subject
Biology and Life Sciences, Agricultural Science and Agronomy
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
