EDP Sciences logo
Web of Conferences logo
Search
Menu
All issues Volume 399 (2023) E3S Web Conf., 399 (2023) 04006 References
Open Access
Issue
E3S Web Conf.
Volume 399, 2023
International Conference on Newer Engineering Concepts and Technology (ICONNECT-2023)
Article Number 04006
Number of page(s) 8
Section Computer Science
DOI https://doi.org/10.1051/e3sconf/202339904006
Published online 12 July 2023
  1. K.L. Raju & V. Vijayaraghavan, “Self-powered, Real-Time NRF24L01 IoT based Could enabled Service for Smart Agriculture Decision-Making System”, Wireless Personal Communications, 124 (2022). [Google Scholar]
  2. S. Kiruthika, P. Sakthi, N. Gokul, G. Praveen Kumar, S. Praveenkumar, R. Prem, Monitoring Soil Quality and Fertigation System Using IoT, Turkish Journal of Computer and Mathematical Education (TURCOMAT), 12, 9, (2021). [Google Scholar]
  3. Qiben Yan, Jianzhi Lou, Mehmet C. Vuran, and Suat Irmak, “Scalable Privacy-preserving Geo-distance Evaluation for Precision Agriculture IoT Systems”, IEEE ACM Transactions Sensors Networks, 17, 4 (2021). [Google Scholar]
  4. Y. Liu, X. Ma, L. Shu, G. P. Hancke, and A. M. Abu-Mahfouz, “From Industry 4.0 To Farm 4.0: Present State, Enabling Technologies, And Research Issues,” IEEE Trans. Ind. (2021). [Google Scholar]
  5. Peng Zhang, Zhiling Guo, S. Ullah, G. Melegraki, A. Afantitis, I. Lynch. “Nanotechnology & Artificial Intelligence to enable sustainable & precision agriculture”, Sensors Medicine & Nature plants, pp 864–876 (2021). [Google Scholar]
  6. Heyu Yin, Minting Cao, Benedetto Marelli, Xiangqun Zeng, Andrew J. Mason & Changyong Cao, “Soil Sensors & Plant Wearables for Smart & Precision Agriculture”, IEEE Advanced Materials, 33, 20 (2021). [Google Scholar]
  7. Abhinav Sharma, Arpit Jain, Prateek Gupta, V. Chowdary, “Machine Learning Applications for Precision Agriculture”, IEEE Access, Computer Science, 9 (2020). [Google Scholar]
  8. Bhuvaneshwari C., Manjunathan A., “Advanced gesture recognition system using long-term recurrent convolution network”, Materials Today Proceedings, 21 (2020). [Google Scholar]
  9. C. Bhuvaneshwari, A. Manjunathan, “Reimbursement of sensor nodes and path optimization”, Materials Today: Proceedings, 45 (2021). [Google Scholar]
  10. Avinash J. L., Sunil Kumar K. N., Arjun Kumar G. B., Poornima G. R., Ravi Gatti, Santhosh Kumar S., “A Wireless Sensor Network Based Precision Agriculture”, IEEE International Conference on Recent Trends on Electronics, Information, Communication & Technology (RTEICT) (2020). [Google Scholar]
  11. Fan Li, Jianbo Xin, Tian Chen, Lijie Xin, “An Automatic Detection Method of Animal’s Nest on Transmission Line Tower Based on Faster_RCNN,” IEEE Access, 8 (2020). [Google Scholar]
  12. Alessandra Dutra Coelho, Bruno Guilherme Dias, Wanderson de Oliveira Assis, Fernando de Almeida Martins, Rogerio Cassares Pires, “Monitoring of Soil Moisture & Atmospheric Sensors with IOT applied in Precision Agriculture”, IEEE Technology Applied to Electronics Teaching Conference (2020). [Google Scholar]
  13. Saehun Kim and Munchurl Kim, “Learning of Counting Crowded Birds of Various Scales via Novel Density Activation Maps,” IEEE Access, 8 (2020). [Google Scholar]
  14. H. Agarwal, R. Dhall, K. Iyer, Vijayalakshmi Chetlapalli, “An improved energy efficient system for IoT enabled precision agriculture” J. Ambient Intell. Humaniz. Computations 11 (2020). [Google Scholar]
  15. Muhammad Awais, Wei Li, Muhammad Ajmal. Using IoT Innovation & Efficiency in Agriculture Monitoring System. Journal of Botanical Research, 2, 2 (2020). [Google Scholar]
  16. S. Kiruthika, P. Sakthi, N. Gokul, G. Praveen Kumar, S. Praveenkumar, R. Prem, Monitoring Soil Quality and Fertigation System Using Iot, Turkish Journal of Computer and Mathematics Education (TURCOMAT), ISSN: 1309-4653, 12, 9 (2022). [Google Scholar]
  17. Ahamed Ali Samsu Aliar, Justindhas Yesudhasan, Manjunathan Alagarsamy, Karthikram Anbalagan, Jeevitha Sakkarai, Kannadhasan Suriyan, “A comprehensive analysis on IoT based smart farming solutions using machine learning algorithms”, Bulletin of Electrical Engineering and Informatics, 11, 3 (2022) [Google Scholar]
  18. Manjunathan Alagarsam, Sterlin Rani Devakadacham, Hariharan Subramani, Srinath Viswanathan, Jazizevelyn Johnmathew, Kannadhasan Suriyan, “Automation irrigation system using arduino for smart crop field productivity”, International Journal of Reconfigurable and Embedded Systems (IJRES), 12, 1 (2023). [CrossRef] [Google Scholar]

Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.

Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.

Initial download of the metrics may take a while.