Livestock barns are integral to modern agriculture, providing essential environments for raising animals. The air quality in these barns directly impacts livestock health, quality of production and environmental sustainability. Trends in key metrics such as gas concentrations, particulate matter levels, humidity content, and temperature can influence the overall health of livestock, barn operations, and broader ecological factors. Understanding these trends and their interrelationships is crucial for managing barn conditions effectively.
To investigate air quality trends in livestock barns, data was collected using IoT multiple sensors device. These sensors recorded various metrics, including gas concentrations (hydrogen sulfide, ammonia, volatile organic compounds), particulate matter levels (PM2.5 and PM10), and humidity-related metrics such as relative humidity and dewpoint temperature. The collected data was analyzed using correlation and trend analyses to explore relationships between these variables and their influence on barn conditions. The analysis reveals key trends and positive correlations between the collected data.