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Smart Sustainable Farming Management Using Integrated Approach of IoT, Blockchain & Geospatial Technologies

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Advanced Intelligent Systems for Sustainable Development (AI2SD’2019) (AI2SD 2019)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1103))

Abstract

Agriculture is now a trillion-dollar industry, making significant contributions to the growth of several developing as well as developed countries. The huge rise in the growing demand of food and making it sustainable for people is encouraging the need for smart farming. There is a great potential to transform traditional farming profoundly by integrating Internet of things (IoT), Blockchain, and Geospatial technologies to emerge as Smart Farming. Blockchain based farming provides farmers various instant agricultural data at one secured platform, represents a unique opportunity to bring greater efficiency, sustainable crop production, tackle food scarcity, and adds transparency and traceability to the exchange of data related to farming management. Uses of Blockchain in farming management is not only improving the food traceability but also making farming safer for farmers as well as consumers involved, less uncertain and more profitable to the farmers. This paper describes the use of Blockchain technology in farming to manage the practices in a smarter as well as sustainable way, by presenting the decentralized infrastructure with added immutable geospatial technology and IoT sensors capabilities. Our proposed system architecture will explain how Blockchain technology with GIS & IoT will revolutionize the traditional farming practices. Moreover, Blockchain preserves the stakeholders privacy by enhancing IoT framework with more reliable and secure data. Likewise, geospatial technologies create the greater impact by providing visualization and decision making through analytics by transforming traditional farming into sustainable farming.

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References

  1. Agriculture: A \$2.4 trillion industry worth protecting, CropLife, 2015. Accessed Feb 2018

    Google Scholar 

  2. Mulla, D.J., Miao, Y.: Precision farming. In: Land Resources Monitoring, Modeling, and Mapping with Remote Sensing (2016)

    Google Scholar 

  3. Wolfert, S., Ge, L., Verdouw, C., Bogaardt, M.J.: Big data in smart farming a review. Agric. Syst. 153, 69–80 (2017)

    Article  Google Scholar 

  4. Prathibha, S.R., Hongal, A., Jyothi, M.P.: IOT based monitoring system in smart agriculture. In: International Conference on Recent Advances in Electronics and Communication Technology. IEEE (2017). https://doi.org/10.1109/ICRAECT.2017.52

  5. Sarmah, K., Deka, C.R., Sharma, U., Sarma, R.: Role of GIS based technologies in sustainable agriculture resource planning & management using spatial decision support approach. Int. J. Innovative Res. Eng. Manag. (IJIREM) 5 (2018)

    Google Scholar 

  6. Sharmaa, R., Kamblea, S.S., Gunasekaran, A.: Big GIS analytics framework for agriculture supply chains: a literature review identifying the current trends and future perspectives. J. Comput. Electron. Agric. 6, 103–120 (2018)

    Article  Google Scholar 

  7. Shanti Bruyn, A.: Blockchain an introduction. Research paper, University of Amsterdam (2017)

    Google Scholar 

  8. Adam-Kalfon, P., El Moutaouakil, S.: Blockchain a catalyst for new approaches in insurance. PWC (2017)

    Google Scholar 

  9. Gondchawar, N., Kawitkar, R.S.: IoT based smart agriculture. Int. J. Adv. Res. Comput. Commun. Eng. 5, 838–842 (2016)

    Google Scholar 

  10. Ye, J., Chen, B., Liu, Q., Fang, Y.: A precision agriculture management system based on Internet of Things and WebGIS. In: 21st International Conference on Geoinformatics (GEOINFORMATICS), pp.1–5. IEEE (2013)

    Google Scholar 

  11. Wu, Q., Liang, Y., Li, Y., Liang, Y.: Research on intelligent acquisition of smart agricultural big data. Conference Paper (2017)

    Google Scholar 

  12. Lin, J., Shen, Z., Zhang, A., Chai, Y.: Blockchain and IoT based food traceability for smart agriculture. In: ICCSE 2018 Singapore. ACM (2018)

    Google Scholar 

  13. Lin, Y.-P., Petway, J.R., Anthony, J., Mukhtar, H., Liao, S.-W., Chou, C.-F., Ho, Y.-F.: Blockchain: the evolutionary next step for ICTE-agriculture. J. Environ. 4, 50 (2017)

    Google Scholar 

  14. Patil, A.S., Tama, B.A., Park, Y., Rhee, KH.: A framework for blockchain based secure smart green house farming. In: Park, J.J., Loia, V., Yi, G., Sung, Y. (eds.) Advances in Computer Science and Ubiquitous Computing: CSA-CUTE 17. LNEE. vol . 474. Springer (2018)

    Google Scholar 

  15. Tian, F.: An agri-food supply chain traceability system for China based on RFID & blockchain technology. In: 13th International Conference on Service Systems and Service Management (ICSSSM), Kunming, China (2016)

    Google Scholar 

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Correspondence to Lyna Miloudi .

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Miloudi, L., Rezeg, K., Kazar, O., Miloudi, M.K. (2020). Smart Sustainable Farming Management Using Integrated Approach of IoT, Blockchain & Geospatial Technologies. In: Ezziyyani, M. (eds) Advanced Intelligent Systems for Sustainable Development (AI2SD’2019). AI2SD 2019. Advances in Intelligent Systems and Computing, vol 1103. Springer, Cham. https://doi.org/10.1007/978-3-030-36664-3_38

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