부산대학교 도서관

To enhance crop yields in greenhouse agriculture, precise water management is important, especially in sandy soil where water retention is challenging. Therefore, the study aimed to develop a data acquisition (DAQ) system to monitor the water content of sandy soil using the Internet of Things (IoT) in an experimental soil bin inside a greenhouse. The system used drip irrigation with four pipelines spaced 60 cm apart, each having drippers at 30 cm intervals along the pipeline. The whole setup was placed inside a sandy soil testing bin (3 × 3 m). The design of the DAQ system revolved around three essential components: sensor interface and electronics, programming for sensor data collection, and data storage and monitoring. The device utilized a microprocessor to establish communication with a set of sensors responsible for measuring soil water content, ambient temperature, and humidity. The soil water content sensors were placed in the soil at depths ranging from 0 to 50 cm. A microcontroller gathered and transmitted the sensor data for real-time monitoring and storage. The system indicated variations in soil water content during the experiment, with maximum and minimum average values ranging from 33.91±2.5 to 26.95±1.3%. Ambient temperature and humidity levels varied similarly, ranging from 21.39±2.1 to 42.84±1.7 ℃ and 48.73±2.3 to 99.90±0.3%, respectively. The developed DAQ system offers potential for greenhouse irrigation management, incorporating remote monitoring and control capabilities, considering various crop traits and climatic conditions.