Korea’s aging rural workforce has led to serious labor shortages in chrysanthemum production, where approximately 90%–95% of growers still rely on conventional soil-based methods. Although sensor-driven automated irrigation is emerging as a labor-saving, resource-efficient technology, its use in soil-grown floricultural crops remains limited. This study assessed the suitability of soil moisture sensors for automated irrigation in the standard-type chrysanthemum “Baekgang”. Plants were cultivated in two soil-based greenhouses in Busan. Environmental conditions, including air temperature, humidity, vapor pressure deficit, and photosynthetic photon flux density, were recorded. Soil conditions were measured using FDR sensors (VWC and EC) and matric potential sensors, installed at a depth of 5 cm. Flowering quality was evaluated after the first harvest. Despite similar atmospheric conditions, soil water dynamics differed notably between farms. VWC averaged 23% in Farm A and 26% in Farm B, with fluctuations of ~6% and ~7%, respectively. Matric potential varied more widely, with range values of 32.6 kPa in Farm A and 51.2 kPa in Farm B, which reflects greater sensitivity to soil moisture changes. Farm A maintained stable moisture and lower EC, whereas Farm B experienced over-irrigation due to a high EC level of 8.25 mS·cm-1. These differences significantly reduced flower quality in Farm B, producing smaller capitulum (flower head) and thinner peduncles compared with flowers from Farm A. These findings demonstrate that matric potential sensors provide higher-resolution soil moisture data compared with VWC sensors. Therefore, combining matric potential and EC sensors is recommended for precise irrigation management in soil-based chrysanthemum production.