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Internet of Things Approaches for Monitoring and Control of Smart Greenhouses in Industry 4.0

Author

Listed:
  • Chiara Bersani

    (DIBRIS—Department of Informatics, Bioengineering, Robotics and Systems Engineering, University of Genoa, 16145 Genova, Italy)

  • Carmelina Ruggiero

    (DIBRIS—Department of Informatics, Bioengineering, Robotics and Systems Engineering, University of Genoa, 16145 Genova, Italy)

  • Roberto Sacile

    (DIBRIS—Department of Informatics, Bioengineering, Robotics and Systems Engineering, University of Genoa, 16145 Genova, Italy)

  • Abdellatif Soussi

    (DIBRIS—Department of Informatics, Bioengineering, Robotics and Systems Engineering, University of Genoa, 16145 Genova, Italy)

  • Enrico Zero

    (DIBRIS—Department of Informatics, Bioengineering, Robotics and Systems Engineering, University of Genoa, 16145 Genova, Italy)

Abstract

In recent decades, climate change and a shortage of resources have brought about the need for technology in agriculture. Farmers have been forced to use information and innovation in communication in order to enhance production efficiency and crop resilience. Systems engineering and information infrastructure based on the Internet of Things (IoT) are the main novel approaches that have generated growing interest. In agriculture, IoT solutions according to the challenges for Industry 4.0 can be applied to greenhouses. Greenhouses are protected environments in which best plant growth can be achieved. IoT for smart greenhouses relates to sensors, devices, and information and communication infrastructure for real-time monitoring and data collection and processing, in order to efficiently control indoor parameters such as exposure to light, ventilation, humidity, temperature, and carbon dioxide level. This paper presents the current state of the art in the IoT-based applications to smart greenhouses, underlining benefits and opportunities of this technology in the agriculture environment.

Suggested Citation

  • Chiara Bersani & Carmelina Ruggiero & Roberto Sacile & Abdellatif Soussi & Enrico Zero, 2022. "Internet of Things Approaches for Monitoring and Control of Smart Greenhouses in Industry 4.0," Energies, MDPI, vol. 15(10), pages 1-30, May.
    • Handle: RePEc:gam:jeners:v:15:y:2022:i:10:p:3834-:d:821976
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    References listed on IDEAS

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    1. Chiara Bersani & Marco Fossa & Antonella Priarone & Roberto Sacile & Enrico Zero, 2021. "Model Predictive Control versus Traditional Relay Control in a High Energy Efficiency Greenhouse," Energies, MDPI, vol. 14(11), pages 1-21, June.
    2. Ambar Israr & Ghulam E. Mustafa Abro & M. Sadiq Ali Khan & Muhammad Farhan & Saif ul Azrin Bin Mohd Zulkifli, 2021. "Internet of Things (IoT)-Enabled Unmanned Aerial Vehicles for the Inspection of Construction Sites: A Vision and Future Directions," Mathematical Problems in Engineering, Hindawi, vol. 2021, pages 1-15, April.
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    4. Adel Mellit & Mohamed Benghanem & Omar Herrak & Abdelaziz Messalaoui, 2021. "Design of a Novel Remote Monitoring System for Smart Greenhouses Using the Internet of Things and Deep Convolutional Neural Networks," Energies, MDPI, vol. 14(16), pages 1-16, August.
    5. La Notte, Luca & Giordano, Lorena & Calabrò, Emanuele & Bedini, Roberto & Colla, Giuseppe & Puglisi, Giovanni & Reale, Andrea, 2020. "Hybrid and organic photovoltaics for greenhouse applications," Applied Energy, Elsevier, vol. 278(C).
    6. Quan Zhou & Runtong Zhang, 2013. "A Survey on All-IP Wireless Sensor Network," Springer Books, in: Zhenji Zhang & Runtong Zhang & Juliang Zhang (ed.), Liss 2012, edition 127, pages 751-756, Springer.
    7. Pawlowski, A. & Sánchez-Molina, J.A. & Guzmán, J.L. & Rodríguez, F. & Dormido, S., 2017. "Evaluation of event-based irrigation system control scheme for tomato crops in greenhouses," Agricultural Water Management, Elsevier, vol. 183(C), pages 16-25.
    8. Chiara Bersani & Ahmed Ouammi & Roberto Sacile & Enrico Zero, 2020. "Model Predictive Control of Smart Greenhouses as the Path towards Near Zero Energy Consumption," Energies, MDPI, vol. 13(14), pages 1-17, July.
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    1. Mohamed El-Sayed M. Essa & Ahmed M. El-shafeey & Amna Hassan Omar & Adel Essa Fathi & Ahmed Sabry Abo El Maref & Joseph Victor W. Lotfy & Mohamed Saleh El-Sayed, 2023. "Reliable Integration of Neural Network and Internet of Things for Forecasting, Controlling, and Monitoring of Experimental Building Management System," Sustainability, MDPI, vol. 15(3), pages 1-29, January.
    2. Francisco Tardelli da Silva & Ismael Cristofer Baierle & Ricardo Gonçalves de Faria Correa & Miguel Afonso Sellitto & Fernanda Araujo Pimentel Peres & Liane Mahlmann Kipper, 2023. "Open Innovation in Agribusiness: Barriers and Challenges in the Transition to Agriculture 4.0," Sustainability, MDPI, vol. 15(11), pages 1-14, May.

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