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Consejo Nacional de Ciencia y Tecnología, CONACYT: 236188
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RDF description of Design and deployment of a practical IoT-based monitoring system for protected cultivations - http://orbis.uaslp.mx/vivo/individual/scopus10060
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Design and deployment of a practical IoT-based monitoring system for protected cultivations
Greenhouse micro-climate; Internet of Things; LPWAN; Monitoring; Prediction model; Sensors; Smart agriculture Climate change; Climate models; Cultivation; Food supply; Forecasting; Greenhouses; Internet of things; Population statistics; Productivity; Food production; Greenhouse micro-climate; LPWAN; Micro-climate; Monitoring system; Prediction modelling; Rapid population growth; Smart agricultures; United Nations; World population; Monitoring
According to the United Nations’ latest forecast, the world population will reach 8.5 billion people by 2030. This rapid population growth imposes severe requirements in food production to meet demand. Moreover, the rise of temperatures and climate changes are also adversely affecting food supplies. In this paper, we design a scalable IoT-based monitoring system with prediction capabilities for agricultural applications. It provides an effective four-layered architecture that consist of sensing, networking, processing, and applications with low deployment and management costs. Hence, to demonstrate its feasibility, the proposed IoT system was constructed, experimentally tested, and validated by monitoring the temperature and humidity of a commercial-size greenhouse in Mexico for six months. Additionally, we integrated a data-driven predictive model for greenhouse microclimate conditions. Temperature predictions were accurately performed 24-hour in advance within an error of 1 °C. The obtained results confirm that the proposed IoT framework would facilitate farmers to monitor crops and enable productivity gains by increasing the level of technology progressively. © 2022 Elsevier B.V.