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Intelligent AgriTrade to Abet Indian Farming

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Intelligent Systems Design and Applications (ISDA 2017)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 736))

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Abstract

The present Indian agricultural system is embedded with advanced services like GPS, weather sensors, etc. which facilitate in communicating with each other, and analysis of the ground level real-time or near real data. Information and Communication Technology (ICT) provides services in the form of cloud to agricultural systems. Agriculture-Cloud and ICT offers knowledge features to farmers regarding ultra-modern farming, pricing, fertilizers, pest/disease management, etc. Scientists/Experts working at Agriculture research stations and extensions can add their findings, recommendations regarding up-to-date practices for cultivation, and related practices. In this work an attempt has been made to design and implement a simple Cloud based application on Agriculture System which is based on AgriTrade on cloud that will enrich agriculture production and also boost the accessibility of data related to field level investigation and also in laboratory. The impact of undertaking such a tool would cut the cost, time and will increase the agricultural production in a relatively much faster and easier way. The system is intelligent to tell the environment statistics to the farmer for improved approach towards agriculture.

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References

  1. Patel, R., Patel, M.: Application of cloud computing in agricultural development of rural India. Int. J. Comput. Sci. Inf. Technol. 4, 922–926 (2013)

    Google Scholar 

  2. Prasad, S., Peddoju, S.K., Ghosh, D.: AgroMobile: a cloud-based framework for agriculturists on mobile platform. Int. J. Adv. Sci. Technol. 59, 41–52 (2013)

    Article  Google Scholar 

  3. Hori, M., Kawashima, E., Yamazaki, T.: Application of cloud computing to agriculture and prospects in other fields. Fujitsu Sci. Tech. J. 46(4), 446–454 (2010)

    Google Scholar 

  4. Pandey, A.: E-farming using cloud computing. Int. J. Cloud Comput. Serv. Sci. 2(5), 345–350 (2013)

    Google Scholar 

  5. National Informatics Center (NIC). http://www.mahaagri.gov.in/. Accessed 16 Oct 2017

  6. Department of Agriculture & Cooperation and Farmer Welfare, Ministry of Agriculture and Farmers Welfare, Government of India. http://www.agricoop.nic.in/. Accessed 17 Oct 2017

  7. Agarwal, P.: AGROCLOUD - open surveillance of Indian agriculture via cloud. In: 2016 International Conference on Information Technology - The Next Generation IT Summit on the Theme - Internet of Things: Connect Your Worlds, Noida, 6–7 October 2016. https://doi.org/10.1109/incite.2016.7857613

  8. Ahmad, T., Ahmad, S., Jamshed, M.: A knowledge based Indian agriculture: with cloud ERP arrangement. In: 2015 International Conference on Green Computing and Internet of Things, Noida, 8–10 October 2015. https://doi.org/10.1109/icgciot.2015.7380484

  9. Hu, H., Chen, T.: Design and implementation of agricultural production and market information recommendation system based on cloud computing. In: 2015 8th International Conference on Intelligent Computation Technology and Automation, Nanchang, China, 14–15 June 2015. https://doi.org/10.1109/icicta.2015.99

  10. Khattab, A., Abdelgawad, A., Yelmarthi, K.: Design and implementation of a cloud-based IoT scheme for precision agriculture. In: ICM 2016, Giza, Egypt, 17–20 December 2016. https://doi.org/10.1109/icm.2016.7847850

  11. Kruize, J.W., Wolfert, S., Goense, D., Scholten, H., Beulens, A., Veenstra, T.: Integrating ICT applications for farm business collaboration processes using FI space. In: 2014 SRII Global Conference, San Jose, CA, USA, 23–25 April 2014. https://doi.org/10.1109/srii.2014.41

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Acknowledgement

This work is fully supported by Don Bosco Institute of Technology, Mumbai, India.

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Correspondence to Kalpita Wagaskar or Amiya Kumar Tripathy .

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Wagaskar, K., Joshi, N., Tripathy, A.K., Datar, G., Singhvi, S., Paul, R. (2018). Intelligent AgriTrade to Abet Indian Farming. In: Abraham, A., Muhuri, P., Muda, A., Gandhi, N. (eds) Intelligent Systems Design and Applications. ISDA 2017. Advances in Intelligent Systems and Computing, vol 736. Springer, Cham. https://doi.org/10.1007/978-3-319-76348-4_89

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  • DOI: https://doi.org/10.1007/978-3-319-76348-4_89

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-76347-7

  • Online ISBN: 978-3-319-76348-4

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