Smart Paddy Rice Plant Monitoring System Based on Soil and Leaf Quality Integrated with PadiSense Mobile Apps

Indonesia is well known as a country that relies on agricultural sector as the main source of livelihood. Over time, the management of agricultural products has evolved towards more advanced conventional practices, incorporating new technologies. Therefore, this research examined the measurement process of soil pH, soil moisture, and identification of fertilizer requirements through a scanning system equipped with color sensors integrated into the PadiSense mobile applications. The purposive sampling method with a pH sensor and instrument measurement of 6.4 percent and 7.5 percent were used to conduct this research. The pH sensor-based measurement yielded an average pH of 7.6 percent and within the Neutral scale, meeting the criteria for optimal rice growth and development. The results obtained from measuring soil moisture proved optimal for the growth of rice stems, with an average of 71.7 percent to 74.1 percent at a minimal measurement error of 0.047 percent. In conclusion, the requirements for nitrogen were identified using color sensors, which showed the BWD scale, with an average measurement corresponding to BWD 4.