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2022 | OriginalPaper | Buchkapitel

Smart System for Monitoring and Controlling of Agricultural Production by the IoT

verfasst von : Jamal Mabrouki, Karima Azoulay, Saloua Elfanssi, Loubna Bouhachlaf, Fatimazahra Mousli, Mourade Azrour, Souad El Hajjaji

Erschienen in: IoT and Smart Devices for Sustainable Environment

Verlag: Springer International Publishing

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Abstract

The Internet of Things (IoT) is a system that allows physical objects that have computer processing and sensory communication systems to connect mutually and take advantage of some service on the Internet. In fact, the philosophy of adopting IoT is to make devices connected to the Internet, and users can access data more quickly. The wide spectrum of possible IoT applications includes the field of agriculture, for which significant exploitation of IoT is envisaged in the long term.

Furthermore, the advancements in the field of sensor technology provide us the opportunity to discover situations that were totally unachievable in earlier times. This has given us the idea to use IoT to design an innovative system for real-time farm monitoring and controlling. The planned solution concerns farmers and farm employees. In fact, it is capable to help them and make their work easier by controlling products remotely from time to time.

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Nächstes Kapitel RETRACTED CHAPTER: Simulation of Groundwater Quality: Case Study of the Limestone Chain of the Western Rif of Morocco

L. Atzori, A. Iera, and G. Morabito, “The internet of things: A survey,” Computer networks, vol. 54, no. 15, pp. 2787–2805, 2010.CrossRef

F. Wortmann and K. Flüchter, “Internet of things,” Business & Information Systems Engineering, vol. 57, no. 3, pp. 221–224, 2015.CrossRef

L. Srivastava and T. Kelly, “The internet of things,” International Telecommunication Union, Tech. Rep, vol. 7, 2005.

B. N. Silva, M. Khan, and K. Han, “Internet of things: A comprehensive review of enabling technologies, architecture, and challenges,” IETE Technical review, vol. 35, no. 2, pp. 205–220, 2018.CrossRef

Y. Liao, E. de F. R. Loures, and F. Deschamps, “Industrial Internet of Things: A systematic literature review and insights,” IEEE Internet of Things Journal, vol. 5, no. 6, pp. 4515–4525, 2018.CrossRef

M. Wu, T.-J. Lu, F.-Y. Ling, J. Sun, and H.-Y. Du, “Research on the architecture of Internet of Things,” in 2010 3rd international conference on advanced computer theory and engineering (ICACTE), 2010, vol. 5, pp. V5-484–V5-487.

F. Wortmann and K. Flüchter, “Internet of things,” Business & Information Systems Engineering, vol. 57, no. 3, pp. 221–224, 2015.CrossRef

J. Mabrouki, M. Azrour, G. Fattah, D. Dhiba, and S. E. Hajjaji, “Intelligent monitoring system for biogas detection based on the Internet of Things: Mohammedia, Morocco city landfill case,” Big Data Min. Anal., vol. 4, no. 1, pp. 10–17, Mar. 2021, doi: https://doi.org/10.26599/BDMA.2020.9020017.

J. Mabrouki, M. Azrour, D. Dhiba, Y. Farhaoui, and S. E. Hajjaji, “IoT-based data logger for weather monitoring using Arduino-based wireless sensor networks with remote graphical application and alerts,” Big Data Min. Anal., vol. 4, no. 1, pp. 25–32, Mar. 2021, doi: https://doi.org/10.26599/BDMA.2020.9020018.

10.

J. Mabrouki, M. Azrour, and S. El, “Use of Internet of Things for Monitoring and Evaluation water’s Quality: Comparative Study,” International Journal of Cloud Computing, 2021.

11.

J. Mabrouki, M. Azrour, Y. Farhaoui, and S. El Hajjaji, “Intelligent System for Monitoring and Detecting Water Quality,” in Big Data and Networks Technologies, vol. 81, Y. Farhaoui, Ed. Cham: Springer International Publishing, 2020, pp. 172–182.CrossRef

12.

H. Kim, H. Choi, H. Kang, J. An, S. Yeom, and T. Hong, “A systematic review of the smart energy conservation system: From smart homes to sustainable smart cities,” Renewable and Sustainable Energy Reviews, vol. 140, p. 110755, Apr. 2021, doi: https://doi.org/10.1016/j.rser.2021.110755.

13.

M. S. Aliero, K. N. Qureshi, M. F. Pasha, and G. Jeon, “Smart Home Energy Management Systems in Internet of Things networks for green cities demands and services,” Environmental Technology & Innovation, vol. 22, p. 101443, May 2021, doi: https://doi.org/10.1016/j.eti.2021.101443.

14.

Y. Mehmood, F. Ahmad, I. Yaqoob, A. Adnane, M. Imran, and S. Guizani, “Internet-of-Things-Based Smart Cities: Recent Advances and Challenges,” IEEE Commun. Mag., vol. 55, no. 9, pp. 16–24, 2017, doi: https://doi.org/10.1109/MCOM.2017.1600514.CrossRef

15.

S. Tian, W. Yang, J. M. L. Grange, P. Wang, W. Huang, and Z. Ye, “Smart healthcare: making medical care more intelligent,” Global Health Journal, vol. 3, no. 3, pp. 62–65, Sep. 2019, doi: https://doi.org/10.1016/j.glohj.2019.07.001.

16.

Z. Mohd Yusoff, Z. Muhammad, M. S. I. Mohd Razi, N. F. Razali, and M. H. C. Hashim, “IOT-Based smart street lighting enhances energy conservation,” IJEECS, vol. 20, no. 1, p. 528, Oct. 2020, doi: https://doi.org/10.11591/ijeecs.v20.i1.pp528-536.

17.

M. Sree Devi and V. Rahamathulla, “Air Quality Through IoT and Big Data Analytics,” in Advances in Data Science and Management, Singapore, 2020, pp. 181–187, doi: https://doi.org/10.1007/978-981-15-0978-0_17.

18.

M. Zhang, M. Li, W. Wang, C. Liu, and H. Gao, “Temporal and spatial variability of soil moisture based on WSN,” Mathematical and Computer Modelling, vol. 58, no. 3–4, pp. 826–833, 2013.CrossRef

19.

S. G. Galande, G. H. Agrawal, and S. B. Dighe, “Greenhouse Microclimatic Real-Time Monitoring with the Help of NPK Sensor,” International Journal of Emerging Trends in Science and Technology, vol. 2, no. 5, pp. 2511–2515, 2015.

20.

A. E. Douglas, “Strategies for enhanced crop resistance to insect pests,” Annual review of plant biology, vol. 69, pp. 637–660, 2018.CrossRef

21.

H. M. Jawad, R. Nordin, S. K. Gharghan, A. M. Jawad, and M. Ismail, “Energy-efficient wireless sensor networks for precision agriculture: A review,” Sensors, vol. 17, no. 8, p. 1781, 2017.CrossRef

22.

T.-K. Dao, T.-S. Pan, and J.-S. Pan, “A multi-objective optimal mobile robot path planning based on whale optimization algorithm,” in 2016 IEEE 13th International Conference on Signal Processing (ICSP), 2016, pp. 337–342.

23.

T. S. T. Bhavani and S. Begum, “Agriculture productivity enhancement system using IOT,” International Journal of Theoretical and Applied Mechanics, vol. 12, no. 3, pp. 543–554, 2017.

24.

A. Salam and S. Shah, “Internet of things in smart agriculture: Enabling technologies,” in 2019 IEEE 5th World Forum on Internet of Things (WF-IoT), 2019, pp. 692–695.

25.

A. Khanna and S. Kaur, “Evolution of Internet of Things (IoT) and its significant impact in the field of Precision Agriculture,” Computers and electronics in agriculture, vol. 157, pp. 218–231, 2019.CrossRef

26.

N. Gondchawar and R. S. Kawitkar, “IoT based smart agriculture,” International Journal of advanced research in Computer and Communication Engineering, vol. 5, no. 6, pp. 838–842, 2016.

27.

T. Baranwal, Nitika, and P. K. Pateriya, “Development of IoT based smart security and monitoring devices for agriculture,” in 2016 6th International Conference - Cloud System and Big Data Engineering (Confluence), Jan. 2016, pp. 597–602, doi: https://doi.org/10.1109/CONFLUENCE.2016.7508189.

28.

S. R. Prathibha, A. Hongal, and M. P. Jyothi, “IOT Based Monitoring System in Smart Agriculture,” in 2017 International Conference on Recent Advances in Electronics and Communication Technology (ICRAECT), Bangalore, India, Mar. 2017, pp. 81–84, doi: https://doi.org/10.1109/ICRAECT.2017.52.

29.

J. Muangprathub, N. Boonnam, S. Kajornkasirat, N. Lekbangpong, A. Wanichsombat, and P. Nillaor, “IoT and agriculture data analysis for smart farm,” Computers and Electronics in Agriculture, vol. 156, pp. 467–474, Jan. 2019, doi: https://doi.org/10.1016/j.compag.2018.12.011.

30.

G. Lavanya, R. C, and G. P, “An automated low cost IoT based Fertilizer Intimation System for smart agriculture,” Sustainable Computing: Informatics and Systems, vol. 28, p. 100300, Dec. 2020, doi: https://doi.org/10.1016/j.suscom.2019.01.002.

31.

P. Wang, “An Improved Multilayer Perceptron Approach for Detecting Sugarcane Yield Production in IoT based Smart Agriculture,” Microprocessors and Microsystems, p. 7, 2021.

32.

M. McRoberts, Beginning Arduino. Apress, 2011.

33.

Q. I. Sarhan, “Arduino Based Smart Home Warning System,” in 2020 IEEE 6th International Conference on Control Science and Systems Engineering (ICCSSE), 2020, pp. 201–206.

34.

A. A. Galadima, “Arduino as a learning tool,” in 2014 11th International Conference on Electronics, Computer and Computation (ICECCO), 2014, pp. 1–4.

35.

M. Srbinovska, C. Gavrovski, V. Dimcev, A. Krkoleva, and V. Borozan, “Environmental parameters monitoring in precision agriculture using wireless sensor networks,” Journal of cleaner production, vol. 88, pp. 297–307, 2015.CrossRef

36.

Z. Liu, C. Sun, and L. Xiang, “The measure of environmental sensitivity in detection performance degradation,” in AIP Conference Proceedings, 2012, vol. 1495, no. 1, pp. 659–666.

37.

G. Pavlogeorgatos, “Environmental parameters in museums,” Building and Environment, vol. 38, no. 12, pp. 1457–1462, 2003.CrossRef

38.

M. Bogdan, “How to use the DHT22 sensor for measuring temperature and humidity with the Arduino board,” ACTA Universitatis Cibiniensis, vol. 68, no. 1, pp. 22–25, 2016.CrossRef

39.

H. A. N. Dan-ao and W. Fei, “Research application of the digital temperature and humidity sensor DHT11 [J],” Electronic Design Engineering, vol. 13, p. 027, 2013.

40.

R. Soukup, A. Hamacek, L. Mracek, and J. Reboun, “Textile based temperature and humidity sensor elements for healthcare applications,” in Proceedings of the 2014 37th international spring seminar on electronics technology, 2014, pp. 407–411.

41.

C. Zhang, W. Zhang, D. J. Webb, and G.-D. Peng, “Optical fibre temperature and humidity sensor,” Electronics Letters, vol. 46, no. 9, pp. 643–644, 2010.CrossRef

42.

C.-Y. Lee and G.-B. Lee, “Micromachine-based humidity sensors with integrated temperature sensors for signal drift compensation,” Journal of micromechanics and microengineering, vol. 13, no. 5, p. 620, 2003.CrossRef

43.

T. Dinh Le and D. H. Tan, “Design and deploy a wireless sensor network for precision agriculture,” in 2015 2nd National Foundation for Science and Technology Development Conference on Information and Computer Science (NICS), Sep. 2015, pp. 294–299, doi: https://doi.org/10.1109/NICS.2015.7302210.

44.

M. A. S. B. Azmi and S. Sulaiman, “Design of domestic water meter using Arduino,” in AIP Conference Proceedings, 2020, vol. 2306, no. 1, p. 020035.

45.

I. Prasojo, A. Maseleno, and N. Shahu, “Design of automatic watering system based on Arduino,” Journal of Robotics and Control (JRC), vol. 1, no. 2, pp. 59–63, 2020.

46.

M. Asha T and M. Srija V, “Design and Implementation of Wireless Based Water Level Monitoring System using Arduino and Bluetooth,” Int. Resear. Jour. Engg. Tech, vol. 7, 2020.

47.

A. Kurniawan, “Arduino Nano 33 IoT Networking,” in Beginning Arduino Nano 33 IoT, Springer, 2021, pp. 103–129.

Titel: Smart System for Monitoring and Controlling of Agricultural Production by the IoT
verfasst von: Jamal Mabrouki
Karima Azoulay
Saloua Elfanssi
Loubna Bouhachlaf
Fatimazahra Mousli
Mourade Azrour
Souad El Hajjaji
Verlag: Springer International Publishing
Buch: IoT and Smart Devices for Sustainable Environment
Print ISBN: 978-3-030-90082-3

Electronic ISBN: 978-3-030-90083-0

Copyright-Jahr: 2022
DOI: https://doi.org/10.1007/978-3-030-90083-0_8

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