Smart Agriculture Solutions for Vietnamese Farmers
DOI:
https://doi.org/10.4108/eetiot.v8i4.2935Keywords:
smart agriculture, internet of things in agriculture, wireless sensor and actuator networks, greenhouseAbstract
Agriculture is the back bone of Vietnam and more than 70% of people in Vietnam depend on agriculture. Nowadays, agriculture crops are affected due to many environmental changes. To overcome this problem, I design and prototype a wireless sensor and actuator network for smart agriculture application. The aim of this work is to be able to capture useful data to start predicting measurements and events that could help farmers and specialists to save time and money. I propose two solutions for smart agriculture. In the first solution, wireless sensor and actuator nodes monitor multiple environmental parameters and transmit the sensor data to a server via the internet. Users can monitor these environmental parameters from anywhere via the internet. In the second solution, wireless sensor and actuator nodes send data to a local computer. This computer is deployed in a technical room. The experiments show that both solutions operate well in real conditions.
Downloads
References
Ian F. Akyildiz, Mehmet Can Vuran, “Wireless Sensor Networks,” Wiley, 2010. DOI: https://doi.org/10.1002/9780470515181
Pablo J. Zarco-Tejada, Neil Hubband and Philippe Loudjani, “Precision agriculture: An opportuniy for EU famers – Potential support with the cap 2014-2020,” ISBN 978-92-823-5575-6, European Parliament, 2014.
Park D.-H., Kang B.-J., Cho K.-R., Sin C.-S., Cho S.-E., Park J.-W., Yang W.-M., “A Study on Greenhouse Automatic Control System Based on Wireless Sensor Network,” Wireless Pers Communication, 2009. DOI: https://doi.org/10.1007/s11277-009-9881-2
Shahzadi, R., Ferzund, J., Tausif, M., & Suryani, M. A. “Internet of Things based Expert System for Smart Agriculture,” International Journal of Advanced Computer Science and Applications, 2016. DOI: https://doi.org/10.14569/IJACSA.2016.070947
Kassim, Mohamed Rawidean Mohd, Ibrahim Mat, and Ahmad Nizar Harun. "Wireless Sensor Network in precision agriculture application," International Conference on Computer, Information and Telecommunication Systems (CITS). IEEE, 2014.
Kim, Yunseop, Robert G. Evans, and William M. Iversen. "Remote sensing and control of an irrigation system using a distributed wireless sensor network," IEEE transactions on instrumentation and measurement, 2008. DOI: https://doi.org/10.1109/TIM.2008.917198
Bhanu K N, Jasmine H J, Mahadevaswamy H S, “Machine learning Implementation in IoT based Intelligent System for Agriculture,” 2020 International Conference for Emerging Technology (INCET), Belgaum, India, 2020. DOI: https://doi.org/10.1109/INCET49848.2020.9153978
http://www.ti.com/lit/ds/symlink/msp430g2553.pdf
http://www.ti.com/tool/ek-tm4c1294xl
https://www.ti.com/product/CC2530
http://www.ti.com/lit/ds/symlink/msp430f1611.pdf
http://www.ti.com/lit/ds/symlink/cc2420.pdf
A. Dunkels, B. Grönvall, and T. Voigt, “Contiki – a lightweight and flexible operating system for tiny networked sensors,” in Proc. EmNets, 2004.
Omprakash Gnawali, Rodrigo Fonseca, Kyle Jamieson, David Moss, and Philip Levis, “Collection Tree Protocol,” In Proceedings of the 7th ACM Conference on Embedded Net-worked Sensor Systems (SenSys 2009), Berkeley, CA, USA, November 2009. DOI: https://doi.org/10.1145/1644038.1644040
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2022 EAI Endorsed Transactions on Internet of Things
This work is licensed under a Creative Commons Attribution 3.0 Unported License.
This is an open-access article distributed under the terms of the Creative Commons Attribution CC BY 3.0 license, which permits unlimited use, distribution, and reproduction in any medium so long as the original work is properly cited.
