Demonstrates real-time monitoring in smart agriculture and hydroponics, suggesting advancements in intelligent systems.
This paper presents the design and implementation of a low-cost wireless IoT-based temperature monitoring system for smart agriculture and hydroponic applications. The proposed system integrates an embedded STM32 microcontroller, a DHT22 temperature and humidity sensor, Bluetooth communication, RFID-based interaction, and a mobile application for real-time monitoring. The system enables continuous environmental data acquisition and user interaction while ensuring simplicity, scalability, and low deployment cost. This work contributes to the development of Artificial Intelligence of Things (AIoT) solutions for smart agriculture by providing a practical and adaptable architecture that can be extended toward intelligent and autonomous systems.
No takes yet. Share an insight, caveat, or question.
Fahol MASSOUTA Massouta (2026) studied this question.
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: