The dynamic relationship between stem water content and sap flow is of great significance for understanding the mechanisms of plant water transport and transpiration regulation. However, traditional plant water monitoring methods are limited by spatial and temporal resolution, making it difficult to capture subtle changes in plant water dynamics. An intelligent monitoring system based on the i.MX6ULL chip was developed. By integrating advanced sensor technology, data acquisition, and analysis methods, real-time monitoring of key parameters such as stem water content, sap flow rate, transpiration, soil moisture, and air temperature and humidity was achieved. Long-term field monitoring of Ginkgo biloba trees verified the system’s stability and reliability. Statistical analysis results showed that the sap flow and stem water content of Ginkgo biloba exhibited significant trends at different growth stages, with sap flow rates ranging from 0.82cm/h to 20.52cm/h. During the growing season, the stem water content derivative showed a significant negative correlation with sap flow data (Pearson correlation coefficient was greater than -0.7). As sap flow was increased during the growing season, stem water content was decreased, and the rate of stem water change could reflect the trend of sap flow to a certain extent. Additionally, for every 1℃ increase in air temperature, sap flow rate was increased by an average of 8.6%, while for every 10 percentage points increase in air relative humidity, the sap flow rate was decreased by 27.3%. The research result can provide experimental evidence for the relationship between water transport in standing trees and offer scientific support for plant physiology research and ecological management.