Multiparameter Soil Fertility Monitoring System in Agriculture Based on the Internet of Things
DOI:
https://doi.org/10.55537/cosie.v5i1.1358Keywords:
Sistem Monitoring, Kesuburan Tanah, Internet of Things, Multiparameter TanahAbstract
The research aims to implement an IoT-based system for monitoring soil fertility that integrates multiparameter sensors to track pH, temperature, soil moisture, EC, N, P, and K through an end-to-end data flow design for analysis using data visualization media. The system architecture consists of ESP32 as the center and control for data acquisition and transmission, a data history recording channel through Google Spreadsheets, mini OLED visualization, and a web dashboard for interactive analytics. Data is sent to the Google Apps Script backend via HTTP requests accompanied by a time zone-based timestamp. The system also implements validation using CRC 16 numerical computation to ensure data consistency as part of error checking. On the web channel, there are two layers of visualization: a KPI panel showing the latest values for seven parameters, each with a time series graph. The testing focused on connection and sensor integration with ESP32, network communication system connectivity, and access using several devices. The results of the study show that the system is capable of visualizing data on multiple fertility measurements. Thus, fertilizer application analysis is not based on practitioner experience but supports data-driven decision-making. The study provides a foundation for further evaluation of the relative accuracy of sensors, the success of data recording, and aspects of visualization according to the needs of stakeholders in the agricultural sector
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