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An IoT Based Agri-Cloud Architectural Framework for Monitoring Presence of Fertilizer Under Multilayered Soil Farming

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Part of the Advances in Intelligent Systems and Computing book series (AISC,volume 1122)

Abstract

Internet of Things in Precision Agriculture practices has made a long-lasting impact. Advanced agro-machineries helping farmers to increase their farm output and productivity. With addition of IoT enabled devices it is possible to integrate agro-machines and farmers to a network of connected things that shares valuable data with the help of which farmers can make sensible decisions on time. IoT devices boost up the smart farming through its efficient and dependent monitoring and controlling system. In this paper an IoT enable fertilizer applicator machine is proposed for the farmers of the countryside. The demand for the fertilizer is on high everywhere and so its associate problems like ineffective fertilizer placement methods, insufficient penetration of the fertilizer under the soil, unavailability of fertilizer for the crop roots during mid and late season growth stages of plant and many more. One of the possible solutions for these problems is to design and develop the machine which is able to place the fertilizers into different depths of soil so as to make it available to the crop during all growth stages of the crop. Further to monitor the amount and right placement of the fertilizer, an IoT enabled AgroCloud module architecture is proposed that will connect the person through mobile computing. This module will store the data and will communicate to the farmer for the information such as soil properties (pH value, EC), fertilizers presence (N, P, K), environmental condition (moisture, temperature) through smartphones and sensors. The complete model will benefit in increasing the yield through multi depth fertilizing concept along with incorporation of IoT assembly for better practices.

Keywords

  • Internet of Things
  • Precision Agriculture
  • Smart farming

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References

  1. Khattab, A., Abdelgawad, A., Yelmarthi, K.: Design and implementation of a cloud-based IoT scheme for precision agriculture. In: 2016 28th International Conference on Microelectronics (ICM), pp. 201–204. IEEE, December 2016

    Google Scholar 

  2. Athani, S., Tejeshwar, C.H., Patil, M.M., Patil, P., Kulkarni, R.: Soil moisture monitoring using IoT enabled arduino sensors with neural networks for improving soil management for farmers and predict seasonal rainfall for planning future harvest in North Karnataka—India. In: 2017 International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC), pp. 43–48. IEEE, February 2017

    Google Scholar 

  3. Shaikh, F.K., Zeadally, S., Exposito, E.: Enabling technologies for green internet of things. IEEE Syst. J. 11(2), 983–994 (2017)

    CrossRef  Google Scholar 

  4. Channe, H., Kothari, S., Kadam, D.: Multidisciplinary model for smart agriculture using internet-of-things (IoT), sensors, cloud-computing, mobile-computing & big-data analysis. Int. J. Comput. Technol. Appl. 6(3), 374–382 (2015)

    Google Scholar 

  5. Mekala, M.S., Viswanathan, P.: CLAY-MIST: IoT-cloud enabled CMM index for smart agriculture monitoring system. Measurement 134, 236–244 (2019)

    CrossRef  Google Scholar 

  6. Rao, R.N., Sridhar, B.: IoT based smart crop-field monitoring and automation irrigation system. In: 2018 2nd International Conference on Inventive Systems and Control (ICISC), pp. 478–483. IEEE, January 2018

    Google Scholar 

  7. Raut, R., Varma, H., Mulla, C., Pawar, V.R.: Soil monitoring, fertigation, and irrigation system using IoT for agricultural application. In: Hu, Y.C., Tiwari, S., Mishra, K., Trivedi, M. (eds.) Intelligent Communication and Computational Technologies, pp. 67–73. Springer, Singapore (2018)

    CrossRef  Google Scholar 

  8. Jayashankar, P., Nilakanta, S., Johnston, W.J., Gill, P., Burres, R.: IoT adoption in agriculture: the role of trust, perceived value and risk. J. Bus. Ind. Mark. 33(6), 804–821 (2018)

    CrossRef  Google Scholar 

  9. Ahmed, O.M.E., Osman, A.A., Awadalkarim, S.D.: A design of an automated fertigation system using IoT. In: 2018 International Conference on Computer, Control, Electrical, and Electronics Engineering (ICCCEEE), pp. 1–5. IEEE, August 2018

    Google Scholar 

  10. Liu, P., Li, B.: Water and fertilizer integration intelligent control system of tomato based on internet of things. In: International Conference on Cloud Computing and Security, pp. 209–220. Springer, Cham, June 2018

    Google Scholar 

  11. Arshad, J., Saleem, S., Badar, M.S.U., Khalid, S., Mumtaz, Z., Ullah, S., Illyas, Z., Madni, H.A.: An Intelligent Monitoring and Controlling of Greenhouse: Deployment of Wireless Sensor Networks and Internet-of-Things (2018)

    Google Scholar 

  12. Babu, S.M., Lakshmi, A.J., Rao, B.T.: A study on cloud based internet of things: CloudIoT. In: 2015 Global Conference on Communication Technologies (GCCT), pp. 60–65. IEEE, April 2015

    Google Scholar 

  13. Andrew, R.C., Malekian, R., Bogatinoska, D.C.: IoT solutions for precision agriculture. In: 2018 41st International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO), pp. 0345–0349. IEEE, May 2018

    Google Scholar 

  14. Schneider, F., Don, A., Hennings, I., Schmittmann, O., Seidel, S.J.: The effect of deep tillage on crop yield–what do we really know? Soil Tillage Res. 174, 193–204 (2017)

    CrossRef  Google Scholar 

  15. Shukla, S.K., Yadav, R.L., Gupta, R., Singh, A.K., Awasthi, S.K., Gaur, A.: Deep tillage, soil moisture regime, and optimizing N nutrition for sustaining soil health and sugarcane yield in subtropical India. Commun. Soil Sci. Plant Anal. 49(4), 444–462 (2018)

    CrossRef  Google Scholar 

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Correspondence to Nikhil V. Bhende .

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Bhende, N.V., Purohit, J.K., Junankar, A.A. (2020). An IoT Based Agri-Cloud Architectural Framework for Monitoring Presence of Fertilizer Under Multilayered Soil Farming. In: Nain, N., Vipparthi, S. (eds) 4th International Conference on Internet of Things and Connected Technologies (ICIoTCT), 2019. ICIoTCT 2019. Advances in Intelligent Systems and Computing, vol 1122. Springer, Cham. https://doi.org/10.1007/978-3-030-39875-0_15

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  • DOI: https://doi.org/10.1007/978-3-030-39875-0_15

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