Abstract
To conserve the tea farming sector and to maintain the quality of the tea product an efficient system is in need to control and maintain the agricultural processes as well. In this paper, a systematic approach of an automation system for tea farming using ZIGBEE wireless networks has been implemented to monitor and control tea plantation in north east India. Embedded multi-sensing and actuator nodes are distributed around the farms and used to measure the parameters necessary in controlling agricultural process. Farm level information’s, combined with their positions information, are relayed to the centralized decision support system by the ZIGBEE wireless sensor networks. Accordingly, necessary control signal will generate and transmit, only at the targeted positions or area to control feedback action at time. The propose technology can broadly be applied into various area of tea plantation, viz. Irrigation management, pest management, fertilizer control, frost control, sunshine hour/intensity management etc. The user friendly Graphical User Interface (GUI) has designed remembering that the framework will be utilized generally by the farmers. The approach, won’t just improve the efficiency, however will also reduce farm input cost and minimize environmental impacts.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Kodali, R.K., Soratkal, S.R., Boppana, L.: WSN in coffee cultivation. In: International Conference on Computing, Communication and Automation (ICCCA2016), pp. 661–666 (2016)
Deepika, G., Rajapirian, P.: Wireless sensor network in precision agriculture: a survey. In: 2016 IEEE Conference (2016)
Kannamma, M.B., Chanthini, B., Manivannan, D.: Controlling and monitoring process in ındustrial automation using Zigbee. In: International Conference on Advances in Computing, Communications and İnformatics (ICACCI), pp. 806–810 (2013)
Hong, C., Shuhui, Z.: A temperature auto-monitoring and frost prevention real time control system based on a Z-BEE Networks for the tea Farm. In: 2012 IEEE Symposium on Electrical and Electronics Engineering (EEESYM), pp. 644–647 (2012)
Kumar, K.N., Prapakaran, R.: ZigBee wireless sensor networktechnology study for paddy crop field monitoring. In: International Conference on VLSI, Communication & Instrumentation (2011)
A compilation of lectures notes. Tea Fıeld Management. Tea Research Association, Tocklai, Jorhat, India (2011)
Sun, D., Jiang, S., Wang, W., Tang, J.: WSN design and ımplementation in a tea plantation for drought monitoring. In: 2010 International Conference on Cyber–Enabled Distributed Computing and Knowledge Discovery, pp. 156–159 (2010)
Propagation Characteristics of Wireless Channels. Lecture 2. http://www.cs.mdx.ac.uk/staffpages/apietukastriku/lecturenotes_2002_2003/lecture2.ppt. 11 November 2008
Verma, S., Chug, N., Gadre, D.V.: Wireless sensor network for crop field monitoring. In: 2010 International Conference on Recent Trends in Information, Telecommunication and Computing (2010)
Anand, C., Sadistap, S., Bindal, S., Rao, K.S.N.: Multi-sensor embedded system for agro-industrial applications. In: 2009 Third International Conference on Sensor Technologies and Applications (2009)
Vijaya Laxmi, H., Narender, M.: Communication b/w mobile-robots’ and PC controller based on ZigBee network. Int. J. Eng. Res. Appl. 1(4), 1432–1435 (2011)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2020 Springer Nature Switzerland AG
About this paper
Cite this paper
Ningombam, H., Roy, O.P. (2020). A Systematic Approach on Design of Automation System for Tea Farming Based on Embedded Wireless Sensor Network. In: Smys, S., Bestak, R., Rocha, Á. (eds) Inventive Computation Technologies. ICICIT 2019. Lecture Notes in Networks and Systems, vol 98. Springer, Cham. https://doi.org/10.1007/978-3-030-33846-6_33
Download citation
DOI: https://doi.org/10.1007/978-3-030-33846-6_33
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-33845-9
Online ISBN: 978-3-030-33846-6
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)