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
Patel, R., Patel, M.: Application of cloud computing in agricultural development of rural India. Int. J. Comput. Sci. Inf. Technol. 4, 922–926 (2013)
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)
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)
Pandey, A.: E-farming using cloud computing. Int. J. Cloud Comput. Serv. Sci. 2(5), 345–350 (2013)
National Informatics Center (NIC). http://www.mahaagri.gov.in/. Accessed 16 Oct 2017
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
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
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
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
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
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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This work is fully supported by Don Bosco Institute of Technology, Mumbai, India.
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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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