International Journal of

ADVANCED AND APPLIED SCIENCES

EISSN: 2313-3724, Print ISSN: 2313-626X

Frequency: 12

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 Volume 7, Issue 9 (September 2020), Pages: 75-82

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 Original Research Paper

 Title: E-cultivation using the IoT with Adafruit cloud

 Author(s): Attique Ur Rehman 1, *, Muzammil Hussain 2, Muhammad Idress 3, Adeel Munawar 1, Muhammad Attique 4, Faisal Anwar 5, Mumtaz Ahmad 5

 Affiliation(s):

 1Department of Computer Science, Lahore Garrison University, Lahore, Pakistan
 2School of Systems and Technology, University of Management and Technology, Lahore, Pakistan
 3Department of Computer Science and Engineering, UET Lahore, Narowal Campus, Narowal, Pakistan
 4Department of Computer Science, University of Gujrat, Gujrat, Pakistan
 5School of Systems and Technology, University of Management and Technology Lahore, Pakistan

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 * Corresponding Author. 

  Corresponding author's ORCID profile: https://orcid.org/0000-0001-6608-6570

 Digital Object Identifier: 

 https://doi.org/10.21833/ijaas.2020.09.012

 Abstract:

Nowadays, cultivation is a very important sector for producing food, fiber, and many other preferred goods through the cultivation of certain plants and the raising of domesticated animals. Cultivation adds a lot to the economy, and it full fill the obligation of nutrients and precludes people from malnutrition. In this era, the world is facing many problems in cultivation like low per hectare yield, the deficiency of irrigation facilities, waterlogging and salinity, lack of information about atmospheric fluctuations. Now, we are trying to use and solve these problems with IoT sensor-based technologies. The IoT sensors based technologies and modules are working with Adafruit cloud on backed. This research work aims to solve the challenges of cultivation to meet the requirements of the modern world with the help of IoT and predictive data mining techniques. This research article is written for the automation in cultivation by using IoT sensors, which detects data from the real cultivated farms and send it to Adafruit cloud using multiple technologies and protocols. Furthermore, MQTT protocol has been connected with applications for transmission of data. This protocol is providing information to farmers that which weather is best for cultivation by observing the soil nutrients. This can analyze the soil and crop instantly to inform and get the required fertilizer. A web-based application is developed by the authors that are connected with Arduino/Raspberry Pi module and GSM module. Finally, the application sends data by using technologies to the Adafruit cloud. This system will be helpful for the whole life cycle of the crop in the E-cultivation system. 

 © 2020 The Authors. Published by IASE.

 This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).

 Keywords: Irrigation, Internet of things, Predictive data, Cultivation, Fertilizer

 Article History: Received 4 December 2019, Received in revised form 3 June 2020, Accepted 3 June 2020

 Acknowledgment:

No Acknowledgment.

 Compliance with ethical standards

 Conflict of interest: The authors declare that they have no conflict of interest.

 Citation:

 Rehman AU, Hussain M, and Idress M et al. (2020). E-cultivation using the IoT with Adafruit cloud. International Journal of Advanced and Applied Sciences, 7(9): 75-82

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 Figures

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 References (24)

  1. Arduino (2019a). Arduino UNO REV3. Available online at: https://bit.ly/2YKy7QK
  2. Arduino (2019b). Getting started with Arduino products. Available online at: https://bit.ly/3fu9r5Y
  3. Balaji GN, Nandhini V, Mithra S, Priya N, and Naveena R (2018a). IoT based smart crop monitoring in farm land. Imperial Journal of Interdisciplinary Research, 4: 88-92.   [Google Scholar]
  4. Balaji GN, Nandhini V, Mithra S, Priya N, and Naveena R (2018b). Advanced crop monitoring using internet of things based smart intrusion and prevention in agricultural land. International Journal of Trend in Scientific Research and Development, 2(2): 1348-1352. https://doi.org/10.31142/ijtsrd9611   [Google Scholar]
  5. Balducci F, Impedovo D, and Pirlo G (2018). Machine learning applications on agricultural datasets for smart farm enhancement. Machines, 6: 38. https://doi.org/10.3390/machines6030038   [Google Scholar]
  6. Cai K (2012). Internet of things technology applied in field information monitoring. Advances in Information Sciences and Service Sciences, 4(12): 405-414. https://doi.org/10.4156/aiss.vol4.issue12.46   [Google Scholar]
  7. Fangquan A (2009). Smart planet and sensing China analysis on development of IoT. Agricultural Network Information, 12: 5-7.   [Google Scholar]
  8. Farahani H, Wagiran R, and Hamidon MN (2014). Humidity sensors principle, mechanism, and fabrication technologies: A comprehensive review. Sensors, 14(5): 7881-7939. https://doi.org/10.3390/s140507881   [Google Scholar] PMid:24784036 PMCid:PMC4063076
  9. Ferrández-Pastor FJ, García-Chamizo JM, Nieto-Hidalgo M, and Mora-Martínez J (2018). Precision agriculture design method using a distributed computing architecture on internet of things context. Sensors, 18: 1731. https://doi.org/10.3390/s18061731   [Google Scholar] PMid:29843386 PMCid:PMC6022150
  10. Gao K, Wang Q, and Xi L (2012). Controlling moving object in the internet of things. IJACT: International Journal of Advancements in Computing Technology, 4(5): 83-90. https://doi.org/10.4156/ijact.vol4.issue5.10   [Google Scholar]
  11. Gayatri MK, Jayasakthi J, and Mala GA (2015). Providing smart agricultural solutions to farmers for better yielding using IoT. In the Technological Innovation in ICT for Agriculture and Rural Development, IEEE. Chennai, India: 40-43. https://doi.org/10.1109/TIAR.2015.7358528   [Google Scholar]
  12. Hsu TC, Yang H, Chung YC, and Hsu CH (2018). A creative IoT agriculture platform for cloud fog computing. Sustainable Computing: Informatics and Systems: 100285. https://doi.org/10.1016/j.suscom.2018.10.006   [Google Scholar]
  13. Liu H, He C, Tang Y, and Huang SP (2012). Research and applicatoin of service-oriented scholar cloud platform. Journal of Convergence Information Technology, 7(5): 225-231. https://doi.org/10.4156/jcit.vol7.issue5.40   [Google Scholar]
  14. Maureira MAG, Oldenhof D, and Teernstra L (2011). ThingSpeak–An API and Web service for the internet of things. Available online at: https://bit.ly/3hyWxW8
  15. Nayyar A and Puri V (2016). Smart farming: IoT based smart sensors agriculture stick for live temperature and moisture monitoring using Arduino, cloud computing and solar technology. In The International Conference on Communication and Computing Systems, Gurgaon, India. https://doi.org/10.1201/9781315364094-121   [Google Scholar]
  16. Pasha S (2016). ThingSpeak based sensing and monitoring system for IoT with Matlab analysis. International Journal of New Technology and Research, 2(6): 19-23.   [Google Scholar]
  17. Pingli G, Yanlei S, Junliang C, Miaoting D, and Bojia L (2011). Enterprise-oriented communication among multiple ESBs based on WS notification and cloud queue model. International Journal of Advancements in Computing Technology, 3(7): 255-263. https://doi.org/10.4156/ijact.vol3.issue7.30   [Google Scholar]
  18. Ren XY, Chen LJ, and Wan HS (2012). Homomorphic encryption and its security application. JDCTA: International Journal of Digital Content Technology and its Applications, 6(7): 305-311. https://doi.org/10.4156/jdcta.vol6.issue7.36   [Google Scholar]
  19. Sinha N, Pujitha KE, and Alex JSR (2015). Xively based sensing and monitoring system for IoT. In the International Conference on Computer Communication and Informatics, IEEE, Coimbatore, India: 1-6. https://doi.org/10.1109/ICCCI.2015.7218144   [Google Scholar] PMCid:PMC4424041
  20. Sruthi M and Kavitha BR (2016). A survey on IoT platform. International Journal of Scientific Research and Modern Education, 1(1): 2455-5630.   [Google Scholar]
  21. Sun QB, Liu J, Li S, Fan CX, and Sun JJ (2010). Internet of things: Summarize on concepts, architecture and key technology problem. Journal of Beijing University of Posts and Telecommunications, 3(3): 1-9.   [Google Scholar]
  22. Verdouw C, Wolfert S, and Tekinerdogan B (2016). Internet of things in agriculture. CAB Reviews: Perspectives in Agriculture, Veterinary Science, Nutrition and Natural Resources, 11(35): 1-12. https://doi.org/10.1079/PAVSNNR201611035   [Google Scholar]
  23. Wolfert S, Ge L, Verdouw C, and Bogaardt MJ (2017). Big data in smart farming: A review. Agricultural Systems, 153: 69-80. https://doi.org/10.1016/j.agsy.2017.01.023   [Google Scholar]
  24. Yang G, Geng G, Du J, Liu Z, and Han H (2011). Security threats and measures for the internet of things. Journal of Tsinghua University Science and Technology, 51(10): 1335-1340.   [Google Scholar]