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- Vol. 4 Issue 3
- Article
IoT Based Smart Agriculture Monitoring System
Authors
1 Professor, Department of Computer Science and Engineering, V.S.B College of Engineering Technical Campus, Coimbatore, Tamilnadu, India. 2345 Department of Computer Science and Engineering, V.S.B College of Engineering Technical Campus, Coimbatore, Tamilnadu, India.
Article Information
- Published In
- Volume 4, Issue 3 (2023)
- Published Online
- May-June 2023
- Pages
- 402-405
- Article Type
- Research Article
- Check for updates
-
References
1. S. K. Udgata, S. K. Patra and S. L. Sabat, “IOT Based Monitoring System in Smart Agriculture,” 2017 International
Conference on Recent Advances in Electronics and Communication Technology (ICRAECT), Bangalore, India, 2017,
pp. 133-137, doi: 10.1109/ICRAECT.2017.52.
2. Alshammari, A. M. Alshammari and M. A. Alshammari, “IoT Based Smart Agriculture Monitoring System with
Predictive Analysis,” 2022 2nd International Conference on Innovative Research in Applied Science, Engineering and
Technology (IRASET), Istanbul, Turkey, 2022, pp.1-5,doi:10.1109/IRASET52964. 2022.9738367.
3. R. Kaur and S. Kaur, “IOT Based Smart Agriculture System,” 2018 International Conference on Advances in
Computing and Communication Engineering (ICACCE), Dehradun, India, 2018, pp. 1-6, doi:
10.1109/ICACCE1.2018.8538702.
4. S. Basha and D. Puthal, “IoT-Based Smart Agriculture Monitoring System Using Wireless Sensor Networks,” 2019
IEEE Region 10 Symposium (TENSYMP), Kolkata, India, 2019, pp. 1190-1194,
doi:10.1109/TENCONSpring46019.2019.8981723.
5. M. Amin and M. Amin, “IoT Based Smart Agriculture Monitoring System Using Machine Learning,” 2020 International
Conference on Computer Science and Software Engineering (CSASE), Dhaka, Bangladesh, 2020, pp. 1- 5, doi:
10.1109/CSASE49724.2020.9189754.
6. R. Kumar and R. Singh, “IoT Based Smart Agriculture Monitoring System Using Raspberry Pi,” 2020 International
Conference on Emerging Trends in Communication and Computing (ETCC), Jaipur, India, 2020, pp. 1-5, doi:
10.1109/ETCC49412.2020.9174913.
7. S.-H Kim et al., “IoT-Based Smart Agriculture Monitoring System Using Cloud Computing and Machine Learning,”
IEEE Access vol. 8 pp.
8. N.-H Tran et al., “IoT-Based Smart Agriculture Monitoring System Using Blockchain Technology and Deep Learning,”
IEEE Access vol.8
9. P.-S Lee et al., “IoT-Based Smart Agriculture Monitoring System Using Edge Computing and Deep Neural Networks,”
IEEE Internet of Things Journal vol:7 issue:4 pp:2926-2936 doi:10.1109/JIOT.2019.2951924
10. M.-S Kim et al., “IoT-Based Smart Agriculture Monitoring System Using Big Data Analytics and Artificial
Intelligence,” IEEE Access vol:7 pp:157439-157451 doi:10.1109/ACCESS.2019.295192
Conference on Recent Advances in Electronics and Communication Technology (ICRAECT), Bangalore, India, 2017,
pp. 133-137, doi: 10.1109/ICRAECT.2017.52.
2. Alshammari, A. M. Alshammari and M. A. Alshammari, “IoT Based Smart Agriculture Monitoring System with
Predictive Analysis,” 2022 2nd International Conference on Innovative Research in Applied Science, Engineering and
Technology (IRASET), Istanbul, Turkey, 2022, pp.1-5,doi:10.1109/IRASET52964. 2022.9738367.
3. R. Kaur and S. Kaur, “IOT Based Smart Agriculture System,” 2018 International Conference on Advances in
Computing and Communication Engineering (ICACCE), Dehradun, India, 2018, pp. 1-6, doi:
10.1109/ICACCE1.2018.8538702.
4. S. Basha and D. Puthal, “IoT-Based Smart Agriculture Monitoring System Using Wireless Sensor Networks,” 2019
IEEE Region 10 Symposium (TENSYMP), Kolkata, India, 2019, pp. 1190-1194,
doi:10.1109/TENCONSpring46019.2019.8981723.
5. M. Amin and M. Amin, “IoT Based Smart Agriculture Monitoring System Using Machine Learning,” 2020 International
Conference on Computer Science and Software Engineering (CSASE), Dhaka, Bangladesh, 2020, pp. 1- 5, doi:
10.1109/CSASE49724.2020.9189754.
6. R. Kumar and R. Singh, “IoT Based Smart Agriculture Monitoring System Using Raspberry Pi,” 2020 International
Conference on Emerging Trends in Communication and Computing (ETCC), Jaipur, India, 2020, pp. 1-5, doi:
10.1109/ETCC49412.2020.9174913.
7. S.-H Kim et al., “IoT-Based Smart Agriculture Monitoring System Using Cloud Computing and Machine Learning,”
IEEE Access vol. 8 pp.
8. N.-H Tran et al., “IoT-Based Smart Agriculture Monitoring System Using Blockchain Technology and Deep Learning,”
IEEE Access vol.8
9. P.-S Lee et al., “IoT-Based Smart Agriculture Monitoring System Using Edge Computing and Deep Neural Networks,”
IEEE Internet of Things Journal vol:7 issue:4 pp:2926-2936 doi:10.1109/JIOT.2019.2951924
10. M.-S Kim et al., “IoT-Based Smart Agriculture Monitoring System Using Big Data Analytics and Artificial
Intelligence,” IEEE Access vol:7 pp:157439-157451 doi:10.1109/ACCESS.2019.295192
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