A Web-Based Iot Platform For Agricultural Sensor Monitoring Using Lorawan

The digital transformation of agriculture has been accelerated by the integration of Internet of Things (IoT) technologies and long-range wireless communication networks. This paper presents the design and implementation of a web-based platform for agricultural sensor monitoring using LoRaWAN technology and The Things Network (TTN). The system enables real-time visualization, historical analysis, configurable alert management, and automated reporting. The architecture integrates WisBlock RAK4630-based sensors, TTN for data transmission, a Laravel-based backend, and a MySQL database for persistent storage. The frontend incorporates interactive dashboards, geospatial visualization using Leaflet, and dynamic charts via Chart.js. The proposed solution demonstrates how IoT-driven monitoring enhances operational visibility, anomaly detection, and data-driven decision-making in precision agriculture.