An efficient influence analysis in main economical crop yields in central area of Thailand using mathematical models

Abstract

The objectives of this research are to propose an approate and efficient model for analyzing rice, corn, and sugar yields data. A linear mixed model (LMM) with spatial correlation following the conditional autoregressive model (CAR) was adopted. The results show that, for rice yields, if the amount of rainfall in a harvest season increases 1 mm, the yields will decease by 25.74 tons. if the temperature in the harvest season increases 1 Celsius, the yields will decease by 212.60 tons, and according to the trend, the yield will increase by 15.80 tons each year. For sugar cane yields, if the amount of rainfall in the harvest season increases 1 mm, the yields will decease by 51.35 tons. if the temperature in the harvest season increase 1 Celsius, the yields will incease by 121.30 tons, and according to the trend, the yield will increase by 29.93.80 tons each year. For corn yield, if the amount of rainfall in the havest season increases 1 mm, the yields will incease by 73.45 tons. if the temperature in he havest season increases 1 celsius, the yields will decease by 40.44 tons, and according to the trend, the yield will increase by 1.74 tons each year.