Development of Management that Affects Smart Agriculture of the Sugarcane Farming in Sukhothai Province

Abstract

This research were to, 1) study the management and smart agriculture of Large-scale sugarcane farmer groups in Sukhothai Province, 2) study the relationship between management and smart agriculture of large-scale sugarcane farmer groups in Sukhothai Province, and 3) create a forecasting equation for the management that affects smart agriculture of large-scale sugarcane farmer groups in Sukhothai Province. The survey research used a questionnaire with 375 sugarcane farmers in Sukhothai Province, with Index of item objective congruence (IOC) between 0.80-1.00 and an Alpha-reliability Coefficient of 0.982. The statistics were percentage, frequency, mean, standard deviation, Pearson’s correlation coefficient, and stepwise multiple regression. The results of this study showed that; 1) the management of large-scale sugarcane farmer groups and smart agriculture of large-scale sugarcane farmer groups in Sukhothai Province were at a high level, and 2) Management has a positive relationship with smart agriculture of large-scale sugarcane farmer groups in Sukhothai Province. With a correlation coefficient between .663 - .795 and a positive relationship with statistical significance at the .01 level and 3) management can predict smart agriculture of the large-scale sugarcane farmer group, Sukhothai Province, 4 variables with statistical significance at the .05 level, namely management (X₇), soil improvement for sugarcane planting with organic matter (X₂), efficient weed control and elimination (X₃), and use of appropriate sugarcane varieties (X₁), with a Constant (β0) =1.454, R = .840, R2 = 705, Adjusted R Square =.702, F =221.090**, Durbin-Watson =1.242