Abstract
Agriculture has a crucial role to play in the overall growth of an agricultural nation. In our country, around 70% of the population are dependent on irrigation, while about one-third of the country’s revenue is derived from agriculture. The situation pertaining to farming has always been an obstacle in a country’s growth. The agricultural sector is boosting with the introduction of information and communication technology in this sector. Efforts are being made to enrich productivity and to decrement the cost of expenditure by utilizing the state-of-the-art technology and equipment. A feasible solution to this issue is smart agriculture by revolutionizing present-day conventional techniques of farming. To enhance effectiveness, productivity, and world market and to reduce manual labor, latency, and expenses, there is a necessity to divert toward the Internet of Things which will be gaining popularity in the coming years’ time. IoT is the network of interconnected devices to transfer the sensed data without human involvement. Hence, to achieve high productivity, IoT in synergy with agriculture will provide smart farming. Our study in this chapter deals with various issues and scope of IoT technology in the agricultural domain. Various challenges concerning smart agriculture are presented in this chapter. Later a smart IoT-based architectural system model is illustrated and discussed in detail. Its implementation with its benefits is also presented with clarity.
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References
Hegde, N.G.: Water scarcity and security in India. BAIF Development Research Foundation, Pune (2014)
Batte, M.T.: Changing computer use in agriculture: evidence from Ohio. Comput. Electron. Agr. 47, 1–13 (2005)
Csótó, M.: Information flow in agriculture – through new channels for improved effectiveness. J. Agric. Inform. 1(2), 25–34 (2010)
Putjaika, N., Phusae, S., Chen-Im, A., Phunchongharn, P., Akkarajitsakul, K.: A control system in an intelligent farming by using Arduino technology. In: 2016 Fifth ICT International Student Project Conference (ICT-ISPC), Nakhon Pathom, pp. 53–56 (2016)
Abdullah, A., Enazi, S.A., Damaj, I.: AgriSys: a smart and ubiquitous controlled-environment agriculture system. In: 2016 Third MEC International Conference on Big Data and Smart City (ICBDSC), Muscat, pp. 1–6 (2016)
Muhammad Umair, S.: Automation of irrigation system using ANN based controller. Int. J. Electr. Comput. Sci. 10(2), (2010)
Chikankar, P.B., Mehetre, D., Das, S.: An automatic irrigation system using ZigBee in wireless sensor network. In: 2015 International Conference on Pervasive Computing (ICPC), Pune, pp. 1–5 (2015)
Gutiérrez, J., Villa-Medina, J.F., Nieto-Garibay, A., Porta-Gándara, M.Á.: Automated irrigation system using a wireless sensor network and GPRS module. IEEE Trans. Instrum. Meas. 63(1), 166–176 (2014)
Gautam, I., Reddy, S.R.N.: Innovative GSM based remote controlled embedded system for irrigation. Int. J. Comput. Appl. 47(13), 1–7 (2012)
Suresh, R., Gopinath, S., Govindaraju, K., Devika, T., SuthanthiraVanitha, N.: GSM based automated irrigation control using raingun irrigation system. Int. J. Adv. Res. Comput. Commun. Eng. 3(2), (2014)
Gutiérrez, J., et al.: Automated irrigation system using a wireless sensor network and GPRS module. IEEE Trans. Instrum. Meas. 63(1), 166–176 (2014)
Nisha, G., Megala, J.: Wireless sensor network based automated irrigation and crop field monitoring system. In: Sixth international conference on advanced computing (ICOAC) (2014)
Ruan, J., Liao, P., Dong, C.: The design and research on intelligent fertigation system. In: 2015 Seventh International Conference on Intelligent Human-Machine Systems and Cybernetics (2015)
Mishra, S., Tripathy, H. K., Panda, A. R.: An improved and adaptive attribute selection technique to optimize dengue fever prediction. International Journal of Engineering & Technology. 7(3.34), 480–486 (2018)
Mishra, S., Tripathy, H. K., & Mishra, B. K.: Implementation of biologically motivated optimisation approach for tumour categorisation. International Journal of Computer Aided Engineering and Technology, 10(3), 244–256 (2018)
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Mishra, S., Mallick, P.K., Koner, D. (2021). Significance of IoT in the Agricultural Sector. In: Gupta, D., Hugo C. de Albuquerque, V., Khanna, A., Mehta, P.L. (eds) Smart Sensors for Industrial Internet of Things. Internet of Things. Springer, Cham. https://doi.org/10.1007/978-3-030-52624-5_12
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DOI: https://doi.org/10.1007/978-3-030-52624-5_12
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