A study on derivation of meteorological data regression equation for prediction of livestock derived NH3

This study examined the causal relationship between environmental conditions and NH 3 generation by installing NH 3 sensors at 8 livestock farms in Eumseong-gun, Korea.NH 3 and meteorological data were collected for 6 months (September 2021 to February 2022) through the livestock odor management system, and the amount of NH 3 measured in real time and the temperature, humidity, and rainfall data measured at the same time through sensors in the field were pretreated in 30-minute increments.To identify the correlation between NH 3 and environmental conditions, Pearson's coefficient and Variance Inflation Factors (VIF) analysis were performed to derive a positive/negative linear relationship, and the time range was selected as 4 months from September 2021 to December 2021.In addition, one location was selected from each of the four farmhouses as a spatial range.The correlation between NH 3 , temperature, humidity, and rainfall showed a high Pearson's coefficients ranging from -0.738 to 0.839.Monthly regression equations were derived through multiple regression analysis, and as a result of calculating R 2 by substituting data from other months, it was found that it was not high below 0.65.