抄録
This study presents a target-tracking fuzzy irrigation system designed to regulate the physiological
water status of potted cherry tomato plants. The proposed system employs soil-moisture error and its temporal
change as input variables and estimates the irrigation amount through a fuzzy inference engine. Irrigation is
executed only when the measured moisture falls below the predefined lower bound of the target range, thereby
preventing both excessive water stress and over-irrigation while supporting homeostatic moisture regulation. By
treating plant water-response dynamics from a bio-control perspective, the proposed approach offers a practical
and adaptive method for water management suitable for small-scale household cultivation.
