Open Access
Issue
E3S Web of Conf.
Volume 540, 2024
1st International Conference on Power and Energy Systems (ICPES 2023)
Article Number 13012
Number of page(s) 9
Section Other Renewable Energies
DOI https://doi.org/10.1051/e3sconf/202454013012
Published online 21 June 2024
  1. 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]
  2. 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]
  3. S. Athani, C. H. Tejeshwar, M. M. Patil, P. Patil and 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,” 2017 International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC), 2017, pp. 43–48, doi: 10.1109/ISMAC. 2017.8058385 [Google Scholar]
  4. Dae-Heon Park,Beom-Jin Kang,Kyung-Ryong Cho, Chang-Sun Shin, Sung-Eon Cho,Jang-Woo Park, Won-Mo Yang. “A Study On Greenhouse Automatic Control System Based Onwireless Sensor Network”, Wireless Personal Communication Springer journal, Vol 56, PP.No 117–130, 2011. [Google Scholar]
  5. 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]
  6. Romeo Lazaro Pascual, Don Michael R. Sanchez, Diego Lloyd E. Naces, Warren A. Nunez, M. Eng. “A Wireless Sensor Network Using Xbee For Precision Agriculture Of Sweet Potatoes (Ipomoea Batatas)”, 8th IEEE International Conference Humanoid, Nanotechnology, InformationT echnology Communication And Control, Environment And Management (Hnicem),PP.No 9–12, (2015) [Google Scholar]
  7. 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 ISMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC), (2017) [Google Scholar]
  8. Liu Yumei, Zhang Changli, Zhu Ping. “The Temperature Humidity Monitoring System Of Soil Based On Wireless Sensor Networks” Electric Information and control engineering (ICEICE), PP. No 1–4, 2011 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]
  9. 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]
  10. A. M. Ezhilazhahi and P. T. V. Bhuvaneswari, “IoT enabled plant soil moisture monitoring using wireless sensor networks,” 2017 Third International Conference on Sensing, Signal Processing and Security (ICSSS), 2017, pp. 345–349, doi: 10.1109/SSPS.2017.8071618. [Google Scholar]
  11. 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]
  12. Mr. P. Venkateswara Rao, Mr. Ch Siva Rama Krishna, Mr. M Samba Siva Reddy, “A smart crop protection against animal attack.” International Journal of Scientific Research and Review Volume 8, Issue 6, 2019, ISSN NO: 2279–543X [Google Scholar]
  13. D. Ranparia, G. Singh, A. Rattan, H. Singh and N. Auluck, “Machine learning-based Acoustic Repellent System for Protecting Crops against Wild Animal Attacks,” 2020 IEEE 15th International Conference on Industrial and Information Systems (ICIIS), 2020, pp. 534–539, doi: 10.1109/ICIIS51140.2020.9342713. [Google Scholar]
  14. P. Padalalu, S. Mahajan, K. Dabir S. Mitkar, D. Javale, Smart water dripping system for agriculture/farming, in 2ndInternational Conference for Convergence in Technology (I2CT), (2017) [Google Scholar]
  15. Packiaslacer P., Rajam P.P., Theresa M., Jacob J.J., Benila A., (2022), “Iot based automation in the Manhole system”,AIP Conference Proceedings, Vol.2393. doi:10.1063/5.0074220 [Google Scholar]
  16. Kalanandhini G., Aravind A.R., Vijayalakshmi G., Gayathri J., Senthilkumar K.K., (2022), “Bluetooth technology on IoT using the architecture of Piconet and Scatternet”,AIP Conference Proceedings,Vol.2393,no.,pp.-.doi:10.1063/5.0074188 [Google Scholar]
  17. Dinesh, P.M. & Dr.Sabeenian, R.S & Lokeshvar, R.G & Muthan, Paramasivam & S, Thanish & Alagarsamy, Manjunathan. (2023). IOT Based Smart Farming Application. E3S Web of Conferences. 399. 10.1051/e3sconf/202339904012. [Google Scholar]
  18. Vijayan D.S., Rose A.L., Arvindan S., Revathy J., Amuthadevi C., (2020), “Automation systems in smart buildings: a review”,Journal of Ambient Intelligence and Humanized Computing,Vol.,no.,pp.-.doi:10.1007/s12652-020-02666-9 [Google Scholar]
  19. Babu G.N.K.S., Anbu S., Kapilavani R.K., Balakumar P., Senthilkumar S.R., (2022), “Development of cyber security and privacy by precision decentralized actionable threat and risk management for mobile communication using Internet of Things (IOT)”,AIP Conference Proceedings,Vol.2393.doi:10.1063/5.0074634 [Google Scholar]
  20. Veeralakshmi P., Sowmya S., Kannan K.N., Anbu S., Ayyappan G., (2022), “An efficient and smart IoT based pisciculture for developing countries”,AIP Conference Proceedings,Vol.2393,no.,pp.-.doi:10.1063/5.0074418 [Google Scholar]

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