| Abstrakt: |
The purpose of the research was to develop an automatic in-field weather station specifically for use in agricultural environments. The station was set up for use in a variety of weather conditions and research plant species. To present the data collected, a smart system named Met4Agriculture was developed. Five sensors were included in the solar powered in-field weather station design: light intensity, temperature, relative humidity, rainfall, and soil moisture measured at a depth of 10 centimeters. The Thai Meteorological Department calibrated sensors for temperature, relative humidity, rainfall, and soil moisture; Silpakorn University was responsible for the calibration of the light intensity sensor. The calibration results showed that temperature and relative humidity sensors had an accuracy deviation of approximately 1 °C and 1-3%RH, respectively. The variance of the rainfall sensor was ± 3 mm. The variance of the rainfall sensor was + 3 mm. The light intensity sensor had a deviation 1.17 times less than the actual measured value. The soil moisture sensor's measured moisture level trended in the same direction as the calculated soil moisture level, with a coefficient of correlation between the two values close to 1. Additionally, a program was designed to run on the LILYGO system and develop the Met4Agriculture program. The system could connect data from the IoT NΕΤΡΙΕ system to display the measurement data from the station. The program referenced the station's measurement points using the ID and token from the NETPIE system and further developed it into the Met4Agriculture Application, which is compatible with all platforms. It can display historical data for analysis of seasonal changes and set thresholds for each parameter that impacts agricultural crop performance during different seasons. This research outcome enables the development of a low-cost prototype for an automatic in-field weather station monitoring system for agricultural field. The prototype system shows statistically significant measurement accuracy comparable to that of standard instruments. The developed stations were installed in all five regions in Thailand, this system can continuously collect, transmit, and display real-time monitoring data through a web application and real-time mobile applications, compatible with both iOS and Android operating systems. [ABSTRACT FROM AUTHOR] |
