Open Access
Issue
E3S Web Conf.
Volume 363, 2022
XV International Scientific Conference on Precision Agriculture and Agricultural Machinery Industry “State and Prospects for the Development of Agribusiness - INTERAGROMASH 2022”
Article Number 03057
Number of page(s) 9
Section Precision Agriculture. Yield Monitoring and Estimation
DOI https://doi.org/10.1051/e3sconf/202236303057
Published online 14 December 2022
  1. A. Haibi, K. Oufaska, K.E. Yassini, M. Boulmalf, M. Bouya, IEEE Access, 10, 6363–6380 (2022). DOI: 10.1109/ACCESS.2022.3140475. [CrossRef] [Google Scholar]
  2. J. Jayalakshmi, O.A. Ambily, International Journal of Engineering Research and General Science, 4(2), 369–374 (2016). [Google Scholar]
  3. E.B. Panganiban, Dela Cruz J.C., RFID-based vehicle monitoring system. 2017 IEEE 9th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment, and Management (HNICEM). Manila, Philippines, pp. 1–6., (2017). DOI: 10.1109/HNICEM.2017.8269489. [Google Scholar]
  4. R. Lindsey, RFID Module Tracking: Setting up Your John Deere Green Star Monitor. (Centre, AL: The American Phytopathological Society, 2017). [Google Scholar]
  5. T. Karygiannis, B. Eydt, G. Barber, L. Bunn, T. Phillips, Guidelines for securing Radio Frequency Identification (RFID) systems, Computer Security Division, Information Technology Laboratory, Gaithersburg, Recommendations of the National Institute of Standards and Technology, (2007). DOI: 10.6028/NIST.SP.800-98 [Google Scholar]
  6. L. Gavoni, RFID Exploitation and Countermeasures, (2021). URL: https://www.researchgate.net/publication/355070571_RFID_Exploitation_and_Countermeasures [Google Scholar]
  7. P. Dewa, I. Putra, I. Sukarsa, Library System Using Radio Frequency Identification (RFID) and Telegram Bot API. LONTAR KOMPUTER, 9(1), 40–51 (2018). DOI: 10.24843/LKJITI.2018.v09.i01.p05. [Google Scholar]
  8. J. Vales-Alonso, E. Egea-López, M.V. Bueno Delgado, J.J. Alcaraz-Espín, International Journal of RF Technologies, 135–154 (2010). DOI: 10.3233/RFT-2010-005. [Google Scholar]
  9. D. Rudoy, M. Egyan, N. Kulikova, V. Chigvintsev, IOP Conference Series: Earth and Environmental Science: Fundamental and Applied Scientific Research in the Development of Agriculture in the Far East (AFE 2021). Ussurijsk, 1–12 (2021). DOI: 10.1088/1755-1315/937/2/022112. [Google Scholar]
  10. X. Jiang, S. Xu, S. Zhang, S. Cao, Arbitrary-Shaped Text Detection with Adaptive Text Region Representation. IEEE Access 4, June 2020, pp. 1–12 (2020). DOI: 10.1109/ACCESS.2020.2999069. [Google Scholar]
  11. M. Shimrat, Communication of the ACM, 5(8), 434(1962). DOI: 10.1145/368637.368653. [CrossRef] [Google Scholar]
  12. Naresh Kumar G., Mallikarjun Bangi, IFAC-PapersOnLine, 51(1), 548–553 (2018). DOI: 10.1016/j.ifacol.2018.05.092. [Google Scholar]
  13. K. Hormann, A. Agathos, Computational Geometry, 20, 131–144 (2001). DOI: 10.1016/S0925-7721(01)00012-8. [CrossRef] [Google Scholar]
  14. Kevin Zhu, Kenneth L. Kraemer, Sean Xu, Management science, 52(10), 1557–1576 (2006). DOI: 10.1287/mnsc.1050.0487 [CrossRef] [Google Scholar]
  15. C. Paunov, S. Planes-Satorra, How are digital technologies changing innovation? Evidence from agriculture, the automotive industry and retail, OECD, OECD SCIENCE, TECHNOLOGY AND INDUSTRY POLICY PAPERS, 74, 53 (2019). DOI: 10.1787/67bbcafe-en [Google Scholar]
  16. L. MacIntyre, Agricultural Biotechnology and Intellectual Property: Seeds of Change. (CAB International, Wallingford, UK, 2008). DOI: 10.1017/S0014479708006467 [Google Scholar]
  17. J. Lourenço, A. Pólvora, S. Nascimento, Blockchain4EU: blockchain for industrial transformations, European Commission, Joint Research Centre, Luxemburg, Scientific 978–92–79–85719–5/1831–9424. (2018). DOI: 10.2760/204920 [Google Scholar]
  18. F. Bermingham, (2017) Australian grain exporter completes successful blockchain pilots [Electronic resource]. Global Trade Review (GTR): [website]. URL: https://www.gtreview.com/news/asia/australian-grain-exporter-completes-successful-blockchain-pilots/ (application date: 04.February.2022). [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.