Abstract
An intelligent cultivation management system is proposed. In the system, by using ZigBee wireless sensor network monitoring the temperature, humidity, light, the concentration of CO2, and other environmental factors based on solar power supply. Thus small gardens crop growth conditions are obtained. Through wireless sensor network, the irrigation and fertilization for small gardens crop growth are controlled by management end software, which aims at remote wireless elaborating intelligent management, so the economic benefit is improve.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
Xiao X, He Q, Fu Z, et al. Applying CS and WSN methods for improving efficiency of frozen and chilled aquatic products monitoring system in cold chain logistics[J]. Food Control, 2016, 60: 656-666.
Zhang X, Wen Q, Tian D, et al. PVIDSS: Developing a WSN-based Irrigation Decision Support System (IDSS) for Viticulture in Protected Area, Northern China[J]. Applied Mathematics & Information Sciences, 2015, 9(2): 669.
Sun H, Li M. Precision Agriculture in China[J]. Precision Agriculture Technology for Crop Farming, 2015: 231.
Yang C, Yuling S, Zhongyi W, et al. Connectivity of wireless sensor networks in greenhouse for plant growth[J]. International Journal of Agricultural and Biological Engineering, 2016, 9(1): 89-98.
Jiang S, Wang W, Hu Y, et al. Design of Wireless Monitoring System for Environment Monitoring in Greenhouse Cultivation[C]//Proceedings of the 6th International Asia Conference on Industrial Engineering and Management Innovation. Atlantis Press, 2016: 219-228.
Liu Q, Jin D, Shen J, et al. A WSN-based prediction model of microclimate in a greenhouse using extreme learning approaches[C]//2016 18th International Conference on Advanced Communication Technology (ICACT). IEEE, 2016: 730-735.
Liu Y, Han W, Zhang Y, et al. An Internet-of-Things solution for food safety and quality control: A pilot project in China[J]. Journal of Industrial Information Integration, 2016, 3: 1-7.
Chew C C, Funabiki N, Maruyama W, et al. An extended active access-point selection algorithm for link speed changes in wireless mesh networks[J]. International Journal of Space-Based and Situated Computing, 2014, 4(3-4): 184-193.
Morreale P, Goncalves A, Silva C. Mobile ad hoc network communication for disaster recovery[J]. International Journal of Space-Based and Situated Computing, 2015, 5(3): 178-186.
Yerra R V P, Rajalakshmi P. Effect of relay nodes and transmit power on end-to-end delay in multi-hop wireless ad hoc networks[J]. International Journal of Space-Based and Situated Computing 9, 2014, 4(1): 26-38.
Bahrepour M, Meratnia N, Poel M, et al. Use of wireless sensor networks for distributed event detection in disaster management applications[J]. International Journal of Space-Based and Situated Computing, 2012, 2(1): 58-69.
Xia J, Yun R, Yu K, et al. A coordinated mechanism for multimode user equipment accessing wireless sensor network[J]. International Journal of Grid and Utility Computing, 2014, 5(1): 1-10.
Ongaro F, Saggini S, Mattavelli P. Li-ion battery-supercapacitor hybrid storage system for a long lifetime, photovoltaic-based wireless sensor network[J]. IEEE Transactions on Power Electronics, 2012, 27(9): 3944-3952.
Gutiérrez J, Villa-Medina J F, Nieto-Garibay A, et al. Automated irrigation system using a wireless sensor network and GPRS module[J]. IEEE transactions on instrumentation and measurement, 2014, 63(1): 166-176.
Aziz A A, Sekercioglu Y A, Fitzpatrick P, et al. A survey on distributed topology control techniques for extending the lifetime of battery powered wireless sensor networks[J]. IEEE communications surveys & tutorials, 2013, 15(1): 121-144.
Jelicic V, Magno M, Brunelli D, et al. Context-adaptive multimodal wireless sensor network for energy-efficient gas monitoring[J]. IEEE Sensors Journal, 2013, 13(1): 328-338.
Sran S S, Kaur L, Kaur G, et al. Energy Aware Chain based data aggregation scheme for wireless sensor network[C]//2015 International Conference on Energy Systems and Applications. IEEE, 2015: 113-117.
Li M, Li Z, Vasilakos A V. A survey on topology control in wireless sensor networks: Taxonomy, comparative study, and open issues[J]. Proceedings of the IEEE, 2013, 101(12): 2538-2557.
Zeng, X.,M. Li,W. Luo. Research on a remote network monitoring model for large-scale materials manufacturing[C]. in 2011 International Conference on Advanced Materials and Computer Science. 2011. Chengdu, China: Trans Tech Publications Ltd.
Gonzalez M, Schandy J, Wainstein N, et al. Wireless image-sensor network application for population monitoring of lepidopterous insects pest (moths) in fruit crops[C]//2014 IEEE International Instrumentation and Measurement Technology Conference (I2MTC) Proceedings. IEEE, 2014: 1394-1398.
Srbinovska M, Gavrovski C, Dimcev V, et al. Environmental parameters monitoring in precision agriculture using wireless sensor networks[J]. Journal of Cleaner Production, 2015, 88: 297-307.
Abbasi A Z, Islam N, Shaikh Z A. A review of wireless sensors and networks’ applications in agriculture[J]. Computer Standards & Interfaces, 2014, 36(2): 263-270.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2017 Springer International Publishing AG
About this paper
Cite this paper
ZENG, Xh., LONG, Ms., LIU, Q., WANG, Xa., LUO, Wl. (2017). Intelligent Management System for Small Gardens Based on Wireless Sensor Network. In: Xhafa, F., Barolli, L., Amato, F. (eds) Advances on P2P, Parallel, Grid, Cloud and Internet Computing. 3PGCIC 2016. Lecture Notes on Data Engineering and Communications Technologies, vol 1. Springer, Cham. https://doi.org/10.1007/978-3-319-49109-7_5
Download citation
DOI: https://doi.org/10.1007/978-3-319-49109-7_5
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-49108-0
Online ISBN: 978-3-319-49109-7
eBook Packages: EngineeringEngineering (R0)