Assessing the Sweet Corn Production Technology by Crop Models in Enhancing Sweet Corn Production Efficiency in Kanchanaburi Province

Abstract

This study aimed to assess the effectiveness of employing crop models to enhance sweet corn production efficiency in Kanchanaburi Province. The research focused on developing sweet corn production technology using crop models. The methodology involved simulating sweet corn production to evaluate yields under diverse management conditions. Furthermore, critical management factors were explored using the decision tree model technique to pinpoint a technology set conducive to efficient sweet corn production. Significant adjustments involved augmenting nitrogen chemical fertilizer by 25 percent, informed by soil analysis, and ensuring alignment of phosphorus and potassium chemical fertilizers with soil analysis values. In December, planting occurred with a corn population of 8,500 plants per rai, Used Hy-brix 72 or utilizing certified commercial sweet corn varieties. Subsequently, the developed technology underwent testing with 10 farmers, comparing it against conventional farming methods. Carried out from April 2023 to May 2023 in Danmakhamtia District, Kanchanaburi Province. The results revealed statistically no significant differences in sweet corn yields, with the test method yielding an average of 2,561 kilograms per rai, compared to 2,544 kilograms per rai for farmers' methods. Moreover, the test method demonstrated higher yields, with an increase of 16.9 kilograms per rai, representing a 0.66 percent improvement. In terms of production costs, the test method exhibited an average cost of 8,794 baht per rai, with decrease 217 baht per rai representing a 2.46 percent lower than the average farmer's method. Regarding income, the test method generated an average of 16,394 baht per rai, with an increase of 510 baht per rai marking a 3.11 percent increase compared to farmers' methods. When evaluating net income, the test method yielded an average of 7,600 baht per rai, with an increase of 727 baht per rai marking a 9.56 percent higher than farmers' methods. The benefic cost ratio (BCR) for the test method was 1.87, surpassing the 1.77 ratio for farmers' methods, indicative of a superior return on investment. These findings underscore the potential of crop models to optimize sweet corn production and enhance profitability for farmers in Kanchanaburi Province.