Abstract
Greenhouse farming is a concept that claims to provide a substantial amount of assets for a specific period of time which helps to improve the yields of fruits, vegetables, crops, etc. Combination of smart farming and Internet of Things (IoT) will reduce the wastage, improve the efficiency, and make better use of resources such as water, fertilizer, light, gas, and pesticides in agriculture. This plan intelligently monitors and controls the environment, by eliminating the need for manual intervention. To enhance the continuous monitoring and quality of greenhouse cultivation the proposed work has employed the advantages of IoT. The main concept is to record all the required parameters from the agricultural sector from the required sensors. These agricultural sensors parameters are soil moisture, temperature, relative humidity, light, sound, and image. In greenhouse cultivation sensing methods are very useful to provide the information for plant growth and health indicators. This work helps to integrate many sensors connected to microcomputers rather than microcontrollers. It can be done better and faster with the help of the Raspberry Pi microcomputer, which helps in real-time monitoring via sensors. The Raspberry Pi enables faster and more secure communication between cloud services and end users.
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References
Gillis A (2021) What is internet of things (IoT)? IOT agenda. Retrieved 17 Aug 2021
Brown E (2016) 21 open-source projects for IoT. Linux.com. Retrieved 23 Oct 2016
Internet of Things Global Standards Initiative. ITU. Retrieved 26 June 2015
Hendricks D (2015) The trouble with the Internet of Things. London Data store. Greater London Authority. Retrieved 10 Aug 2015
Shafiq M, Gu Z, Cheikhrouhou O, Alhakami W, Hamam H (2022) The rise of “Internet of Things”: review and open research issues related to detection and prevention of IoT-based security attacks. Wireless Commun Mob Comput 2022:e8669348, ISSN 1530-8669. https://doi.org/10.1155/2022/8669348
Happila T (2021) A design of agricultural greenhouse monitoring system using Iot. Turk J Comput Math Educ (TURCOMAT) 12(10):2059–2065
Dey N, Hassanien AE, Bhatt C, Ashour A, Satapathy SC (2018) Internet of things and big data analytics toward next-generation intelligence. Cham, Switzerland, p 440. ISBN 978–3-319-60435-0. OCLC 1001327784
Espinoza H, Kling G, McGroarty F, O’Mahony M, Ziouvelou X (2020) Estimating the impact of the Internet of Things on productivity in Europe. Heliyon 6(5):e03935
Bersani C, Ruggiero C, Sacile R, Soussi A, Zero E (2022) Internet of Things approaches for monitoring and control of smart greenhouses in Industry 4.0. Energies 15(10):3834
Akkaş MA, Sokullu R (2017) An IoT-based greenhouse monitoring system with Micaz motes. Procedia Comput Sci 113:603–608
Meola A (2016) Why IoT, big data & smart farming are the future of agriculture. Business Insider. Insider, Inc. Retrieved 26 July 2018
Ayaz M, Ammad-Uddin M, Sharif Z, Mansour A, Aggoune E-HM (2019) Internet-of-Things (IoT)-based smart agriculture: toward making the fields talk. IEEE Access 7:129551–129583. https://doi.org/10.1109/ACCESS.2019.2932609
Zhao JC, Zhang JF, Feng Y, Guo JX (2010) The study and application of the IoT technology in agriculture. In: 2010 3rd International conference on computer science and information technology, Chengdu, pp 462–465
Bing F (2012) Research on the agriculture intelligent system based on IoT. In: 2012 International conference on image analysis and signal processing, Hangzhou, pp 1–4
Wang C, Bi Z, Da Xu L (2014) IoT and cloud computing in automation of assembly modeling systems. IEEE Trans Industr Inf 10(2):1426–1434
Alam KM, Saini M, El Saddik A (2015) Towards social Internet of vehicles: concept, architecture and applications. IEEE Access 3:343–357
Widyawati DK, Ambarwari A, Wahyudi A (2020) Design and prototype development of internet of things for greenhouse monitoring system. In: 2020 3rd International seminar on research of information technology and intelligent systems (ISRITI). IEEE, pp 389–393
Acknowledgements
This work was supported by IEI R&D Grant-in-aid Scheme (Grant numbers [R.4/2/UG/2022-23/RDUG2022007]. The authors thankfully acknowledge(s) the financial support provided by The Institution of Engineers (India) for carrying out Research & Development work in this subject.
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© 2024 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
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Maity, T., Roy, A., Das, O., Kashyap, R., Mishra, A., Samanta, J. (2024). Design and Development of IoT-Based Smart Health Monitoring System for Greenhouse Cultivation. In: Tavares, J.M.R.S., Rodrigues, J.J.P.C., Misra, D., Bhattacherjee, D. (eds) Data Science and Communication. ICTDsC 2023. Studies in Autonomic, Data-driven and Industrial Computing. Springer, Singapore. https://doi.org/10.1007/978-981-99-5435-3_12
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