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- Vol. 3 Issue 3
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AI and IoT Based Animal Recognition and Repelling System for Smart Farming
Authors
1234Student, Department of Electronics and communication engineering, Vivekanandha College of Engineering for women, Tiruchengode, Namakkal District, Tamil Nadu,637205,India. 5Assistant professor, Department of Electronics and communication engineering, Vivekanandha College of Engineering for women, Tiruchengode, Namakkal District, Tamil Nadu,637205,India.
Article Information
- DOI
- No DOI
- Published In
- Volume 3, Issue 3 (2022)
- Published Online
- May-June 2022
- Pages
- 152-157
- Article Type
- Research Article
- Check for updates
- No DOI available for cross-reference
References
[1] M. De Clercq, A. Vats, and A. Biel, ``Agriculture 4.0: The future of farming technology,'' in Proc. World Government Summit, Dubai, UAE, 2018, pp. 11-13.
[2] Y. Liu, X. Ma, L. Shu, G. P. Hancke, and A. M. Abu-Mahfouz, ``From industry 4.0 to agriculture 4.0: Current status, enabling technologies, and research challenges,'' IEEE Trans. Ind. Information., vol. 17, no. 6, pp. 432 4334, Jun. 2021.
[3] M. S. Farooq, S. Riaz, A. Abid, K. Abid, and M. A. Naeem, ``A survey on the role of IoT in agriculture for the implementation of smart farming,'' IEEE Access, vol. 7, pp. 156237-156271, 2019.
[4] K. Kirkpatrick, ``Technologizing agriculture,'' Commun. ACM, vol. 62, no. 2, pp. 14-16, Jan. 2019.
[5] A. Farooq, J. Hu, and X. Jia, ``Analysis of spectral bands and spatial resolutions for weed classification via the deep convolutional neural network,'' IEEE Geosci. Remote Sens. Lett., vol. 16, no. 2, pp. 183-187, Feb. 2018.
[6] M. Apollonio, S. Ciuti, L. Pedrotti, and P. Banti, ``Ungulates and their management in Italy,'' in European Ungulates and Their Management in the 21st Century. Cambridge, U.K.: Cambridge Univ. Press, 2010, pp. 475-505.
[7] A. Amici, F. Serrani, C. M. Rossi, and R. Primi, ``Increase in crop damage caused by wild boar (Sus scrofa L.): The `refuge effect,''' Agronomy Sustain. Develop., vol. 32, no. 3, pp. 683-692, Jul. 2012.
[8] S. Giordano, I. Seitanidis, M. Ojo, D. Adami, and F. Vignoli, ``IoT solutions for crop protection against wild animal attacks,'' in Proc. IEEE Int. Conf. Environ. Eng. (EE), Mar. 2018, pp. 1-5.
[9] M. O. Ojo, D. Adami, and S. Giordano, ``Network performance evaluation of a LoRa-based IoT system for crop protection against ungulates,''in Proc. IEEE 25th Int.Workshop Comput. Aided Modeling Design Commun. Links Netw. (CANADA), Sep. 2020, pp. 1-6.
[10] H. E. Heefner and R. S. Heffner, ``Auditory perception,'' in Farm Animals and the Environment, C. Phillips and D. Piggins, Eds. Wallingford,U.K.: CAB International, 1992.
[11] https://www.indiatimes.com/news/india/in-the-battle-between-man-vs-wild-highways-railway- lines-emerge-as-new-challenges-375504.html
[12] https://adventuresinmachinelearning.com/neural-networks-tutorial/
[13] https://github.com/tensorflow/models
[2] Y. Liu, X. Ma, L. Shu, G. P. Hancke, and A. M. Abu-Mahfouz, ``From industry 4.0 to agriculture 4.0: Current status, enabling technologies, and research challenges,'' IEEE Trans. Ind. Information., vol. 17, no. 6, pp. 432 4334, Jun. 2021.
[3] M. S. Farooq, S. Riaz, A. Abid, K. Abid, and M. A. Naeem, ``A survey on the role of IoT in agriculture for the implementation of smart farming,'' IEEE Access, vol. 7, pp. 156237-156271, 2019.
[4] K. Kirkpatrick, ``Technologizing agriculture,'' Commun. ACM, vol. 62, no. 2, pp. 14-16, Jan. 2019.
[5] A. Farooq, J. Hu, and X. Jia, ``Analysis of spectral bands and spatial resolutions for weed classification via the deep convolutional neural network,'' IEEE Geosci. Remote Sens. Lett., vol. 16, no. 2, pp. 183-187, Feb. 2018.
[6] M. Apollonio, S. Ciuti, L. Pedrotti, and P. Banti, ``Ungulates and their management in Italy,'' in European Ungulates and Their Management in the 21st Century. Cambridge, U.K.: Cambridge Univ. Press, 2010, pp. 475-505.
[7] A. Amici, F. Serrani, C. M. Rossi, and R. Primi, ``Increase in crop damage caused by wild boar (Sus scrofa L.): The `refuge effect,''' Agronomy Sustain. Develop., vol. 32, no. 3, pp. 683-692, Jul. 2012.
[8] S. Giordano, I. Seitanidis, M. Ojo, D. Adami, and F. Vignoli, ``IoT solutions for crop protection against wild animal attacks,'' in Proc. IEEE Int. Conf. Environ. Eng. (EE), Mar. 2018, pp. 1-5.
[9] M. O. Ojo, D. Adami, and S. Giordano, ``Network performance evaluation of a LoRa-based IoT system for crop protection against ungulates,''in Proc. IEEE 25th Int.Workshop Comput. Aided Modeling Design Commun. Links Netw. (CANADA), Sep. 2020, pp. 1-6.
[10] H. E. Heefner and R. S. Heffner, ``Auditory perception,'' in Farm Animals and the Environment, C. Phillips and D. Piggins, Eds. Wallingford,U.K.: CAB International, 1992.
[11] https://www.indiatimes.com/news/india/in-the-battle-between-man-vs-wild-highways-railway- lines-emerge-as-new-challenges-375504.html
[12] https://adventuresinmachinelearning.com/neural-networks-tutorial/
[13] https://github.com/tensorflow/models
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