Abstract
Agriculture plays a major role in the nation’s economic contribution. The source of income and livelihood of around 70% of Indian population depends on agriculture. Harvest and post-harvest losses due to many reasons lead to heavy financial burden to farmers as well as Government. Though many agriculture security measures, like crop insurance, are provided to farmers by Government, still the farmers’ suicide is a common phenomenon. To minimize the crop loss during harvest or post-harvest, this paper proposes the smart agriculture system with the help of Internet of Things (IoT). With the use of several sensors and Raspberry Pi, different models are proposed for supervision of soil moisture and pests, building intelligent seeds’ corporation and efficient food corporation of India.
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References
Yoo, S., Kim, J., Kim, T., Ahn, S., Sung, J., Kim, D.: A2S: Automated agriculture system based on WSN. In: ISCE 2007. IEEE International Symposium on Consumer Electronics, Irving, TX, USA (2007)
Arampatzis, T., Lygeros, J., Manesis, S.: A survey of applications of wireless sensors and wireless sensor networks. In: 2005 IEEE International Symposium on Intelligent Control & 13th Mediterranean Conference on Control and Automation. Limassol, Cyprus, vol. 1–2, pp. 719–724 (2005)
IEEE: Wireless medium access control (MAC) and physical layer (PHY) specifications for lowrate wireless personal area networks (LR-WPANs). In: The Institute of Electrical and Electronics Engineers Inc.: New York, NY, USA, 2003
Nandurkar, S.R., Thool, V.R., Thool, R.C.: Design and development of precision agriculture system using wireless sensor network. In: IEEE International Conference on Automation, Control, Energy and Systems (ACES) (2014)
Joaquin, G., Juan Francisco V.-M, Alejandra N.-G., Miguel Angel P.-G.: Automated irrigation system using a wireless sensor network and GPRS module. IEEE Trans. Instrum. Meas. 0018–9456 (2013)
Wang, Q., Terzis, A., Szalay, A.: A novel soil measuring wireless sensor network. IEEE Trans. Instrum. Measur. 412–415 (2010)
Y. Kim, R. Evans and W. Iversen, “Remote Sensing and Control of an Irrigation System Using a Distributed Wireless Sensor Network”, IEEE Transactions on Instrumentation and Measurement, pp. 1379–1387, 2008
Tyagi, A., Reddy, A.A., Singh, J., Choudhari, S.R.: A low cost temperature moisture sensing unit with artificial neural network based signal conditioning for smart irrigation applications. Int. J. Smart Sens. Intell. Syst. 4(1), 94–111 (2011)
Posada, J.F., Liou, J.J., Miller, R.N.: An automated data acquisition system for modelling the characteristic of a soil moisture sensor. IEEE Trans. Instrum. Measur. 40(5), 836–841 (1991)
Mirabella, O., Brischetto, M.: A hybrid wired/wireless networking infrastructure for greenhouse management. IEEE Trans. Instrum. Meas. 60(2), 398–407 (2011)
Vidya Devi, V., Meena Kumari, G.: Real-time automation and monitoring system for modernized agriculture. Int. J. Rev. Res. Appl. Sci. Eng. (IJRRASE) 3(1), 7–12 (2013)
Kotamaki, N., Thessler, S., Koskiaho, J., Hannukkala, A.O., Huitu, H., Huttula, T., Havento, J., Jarvenpaa, M.: Wireless in-situ sensor network for agriculture and water monitoring on a river basin scale in Southern Finland evaluation from a data users perspective. Sensors 4(9), 2862–2883. https://doi.org/10.3390/s90402862 (2009)
Liu, H., Meng, Z., Cui, S.: A wireless sensor network prototype for environmental monitoring in greenhouses. In: International Conference on Wireless Communications, Networking and Mobile Computing (WiCom 2007), Shangai, China; 21–25 Sept 2007
Baker, N.: ZigBee and bluetooth—Strengths and weaknesses for industrial applications. Comput. Control. Eng. 16, 20–25 (2005)
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Das, R.K., Panda, M., Dash, S.S. (2019). Smart Agriculture System in India Using Internet of Things. In: Nayak, J., Abraham, A., Krishna, B., Chandra Sekhar, G., Das, A. (eds) Soft Computing in Data Analytics . Advances in Intelligent Systems and Computing, vol 758. Springer, Singapore. https://doi.org/10.1007/978-981-13-0514-6_25
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DOI: https://doi.org/10.1007/978-981-13-0514-6_25
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