IoT-Enhanced Decision Support System for Real-Time Greenhouse Microclimate Monitoring and Control

Autor: Dragoș-Ioan Săcăleanu, Mihai-Gabriel Matache, Ștefan-George Roșu, Bogdan-Cristian Florea, Irina-Petra Manciu, Lucian-Andrei Perișoară
Jazyk: angličtina
Rok vydání: 2024
Předmět:
Zdroj: Technologies, Vol 12, Iss 11, p 230 (2024)
Druh dokumentu: article
ISSN: 2227-7080
DOI: 10.3390/technologies12110230
Popis: Greenhouses have taken on a fundamental role in agriculture. The Internet of Things (IoT) is a key concept used in greenhouse-based precision agriculture (PA) to enhance vegetable quality and quantity while improving resource efficiency. Integrating wireless sensor networks (WSNs) into greenhouses to monitor environmental parameters represents a critical first step in developing a complete IoT solution. For further optimization of the results, including actuator nodes to control the microclimate is necessary. The greenhouse must also be remotely monitored and controlled via an internet-based platform. This paper proposes an IoT-based architecture as a decision support system for farmers. A web platform has been developed to acquire data from custom-developed wireless sensor nodes and send commands to custom-developed wireless actuator nodes in a greenhouse environment. The wireless sensor and actuator nodes (WSANs) utilize LoRaWAN, one of the most prominent Low-Power Wide-Area Network (LPWAN) technologies, known for its long data transmission range. A real-time end-to-end deployment of a remotely managed WSAN was conducted. The power consumption of the wireless sensor nodes and the recharge efficiency of installed solar panels were analyzed under worst-case scenarios with continuously active nodes and minimal intervals between data transmissions. Datasets were acquired from multiple sensor nodes over a month, demonstrating the system’s functionality and feasibility.
Databáze: Directory of Open Access Journals