ARCHIVES
Research Article
AI and IoT Based Animal Recognition and Repelling System for Smart Farming
Santhiya S1
Vaishnavi J2
Nirmala M3
Nandhini J M4
Thiruppathi M5
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.
Published Online: May-June 2022
Pages: 152-157
Cite this article
No DOIReferences
[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
Related Articles
2022
A Review on Bamboo Reinforced Concrete Beam
2022
FARMERS AGRICULTURAL PORTAL
2022
Sentiment Analysis of Religious Tweets
2022
Enhancement of beam strength by using bamboo as reinforcement in place of steel bars
2022
A Review on Anomaly Detection using PYOD Package
2022
