Open Access
Issue |
E3S Web Conf.
Volume 399, 2023
International Conference on Newer Engineering Concepts and Technology (ICONNECT-2023)
|
|
---|---|---|
Article Number | 04012 | |
Number of page(s) | 10 | |
Section | Computer Science | |
DOI | https://doi.org/10.1051/e3sconf/202339904012 | |
Published online | 12 July 2023 |
- S. Prathibha, A. Hongal and M. Jyothi, IOT Based Monitoring System in Smart Agriculture, in International Conference on Recent Advances in Electronics and Communication Technology (ICRAECT), (2017) [Google Scholar]
- C. Yoon and M. Huh and S. Kang, J. Park and C. Lee, Implement smart farm with IoT technology, in 20th International Conference on Advanced Communication Technology (ICACT), (2018) [Google Scholar]
- B.N.B. Ekanayake, M.N. Halgamuge, A. Syed, Review:Security and Privacy Issues of Fog Computing for the Internet of Things (IoT), Lecture Notes on Data Engineering and Communications Technologies Cognitive Computing for Big Data Systems Over IoT, Frameworks, Tools and Applications, Springer, 14 (2018) [Google Scholar]
- S. Takekar, S. Takekar, Plant and taste to reap with Internet of Things implementation of IoT in agriculture to make it a parallel Industry, in International Conference on I- SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC), (2017) [Google Scholar]
- D. Sreekantha, Kavya A.M., Agricultural crop monitoring using IOT - a study, in 11th International Conference on Intelligent Systems and Control (ISCO), 4 (2017) [Google Scholar]
- M. Marcu, G. Suciu, C. M. Balaceanu, A. Banaru, IoT based System for Smart Agriculture, 2019 11th International Conference on Electronics, Computers and Artificial Intelligence (ECAI), 1–4, (2019) [Google Scholar]
- S. Rajendrakumar, Rajashekarappa, V. Parvati, B. Parameshachari, K. Soyjaudah, R. Banu, An intelligent report generator for efficient farming, in International Conference on Electrical, Electronics, Communication, Computer, and Optimization Techniques (ICEECCOT), (2017) [Google Scholar]
- P. Padalalu, S. Mahajan, K. Dabir S. Mitkar, D. Javale, Smart water dripping system for agriculture/farming, in 2nd International Conference for Convergence in Technology (I2CT), (2017) [Google Scholar]
- G. Raghudathesh, D. Deepak, G. Prasad, A. Arun, R. Balekai, V. Yatnalli, S. Lata, B. Kumar, Iot based intelligent poultry management system using Linux embedded system, in International Conference on Advances in Computing, Communications and Informatics (ICACCI), (2017) [Google Scholar]
- Walter, R. Finger, R. Huber, N. Buchmanna, Proc Natl Acad Science, 114, 6148–6150, (2017) [CrossRef] [PubMed] [Google Scholar]
- Z. Li, J. Wang, R. Higgs, L. Zhou, W. Yuan, Design of an Intelligent Management System for Agricultural Greenhouses Based on the Internet of Things, in IEEE International Conference on Computational Science and Engineering (CSE) and IEEE International Conference on Embedded and Ubiquitous Computing (EUC), (2017) [Google Scholar]
- I. Mat, M. R. Mohd Kassim, A. N. Harun, I. M. Yusoff, Smart Agriculture Using Internet of Things, 2018 IEEE Conference on Open Systems (ICOS), 54–59 (2018) [CrossRef] [Google Scholar]
- J. Guruprasadh, A. Harshananda, I. Keerthana, Rachana, K. Krishnan, M. Rangarajan, S. Sathyadevan, Intelligent soil quality monitoring system for judicious irrigation, in International Conference on Advances in Computing, Communications and Informatics (ICACCI), (2017) [Google Scholar]
- S. Athani, C. Tejeshwar, M. Patil, P. Patil, R. Kulkarni, Soil moisture monitoring using IoT enabled arduino sensors with neural networks for improving soil management for farmers and predict seasonal rainfall for planning future harvest in North Karnataka— India, in International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC), (2017) [Google Scholar]
- C. Bhuvaneshwari, A. Manjunathan. Reimbursement of sensor nodes and path optimization. Materials Today: Proceedings, 45, 547–1551 (2021) [Google Scholar]
- Roselin Suganthi Jesudoss, Rajeswari Kaleeswaran, Manjunathan Alagarsamy, Dineshkumar Thangaraju, Dinesh Paramathi Mani, Kannadhasan Suriyan. Comparative study of BER with NOMA system in different fading channels. Bulletin of Electrical Engineering and Informatics 11(2), 854–861 (2022) [CrossRef] [Google Scholar]
- 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), 1550–1557 (2022) [CrossRef] [Google Scholar]
- 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), 70–77 (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.