1. 1. Davide Adami , Mike O. Ojo , (Member, IEEE), and Stefano Giordano (Senior Member, IEEE) "Design, Development and Evaluation of an Intelligent Animal Repelling System for Crop Protection Based on Embedded Edge-AI ", supported in part by Regione Toscana, Italy, under the Programma Operativo Regionale Fondo Europeo di Sviluppo Regionale POR FESR 2014-2020 (ULTRADEFENDER and ULTRAREP Projects), and in part by the Italian Ministry of Education and Research (MIUR) in the framework of the CrossLab Project (Departments of Excellence),2021 .
   2.  Hardiki Deepak Patil, Dr. Namrata Farooq Ansari "Automated Wild-Animal Intrusion Detection and Repellent System Using Artificial Intelligence of Things", ICAST 2021. 6
   3. 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. Informat., vol. 17, no. 6, pp. 4322–4334, Jun. 2021.
   4. A. Farooq, J. Hu, and X.Jia , "Analysis of spectral bands and spatial resolutions for weed classification via deep convolutional neural network", IEEE Geosci. Remote Sens. Lett., vol. 16, no. 2, pp. 183–187, Feb. 2018
   5. 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.
   6. M. O. Ojo, D. Adami, and S. Giordano. 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. (CAMAD), Sep. 2020, pp. 1–6.
   7. Tibor TRNOVSZKY, Patrik KAMENCAY, Richard ORJESEK, Miroslav BENCO, and Peter SYKORA,"Animal Recognition System Based on Convolutional Neural Network", Department of multimedia and information-communication technologies, Faculty of Electrical Engineering, University of Zilina, Univerzitna 8215/1, 010 26 Zilina, Slovakia.
   8.  Zhong-Qiu Zhao, Member, IEEE, Peng Zheng, Shou-tao Xu, and Xindong Wu, Fellow, IEEE,"Object Detection with Deep Learning: A Review", Zhong-Qiu Zhao, Peng Zheng and Shou-Tao Xu are with the College of Computer Science and Information Engineering, Hefei University of Technology, China. Xindong Wu is with the School of Computing and Informatics,University of Louisiana at Lafayette, USA.
   9. Rashmi Jayakumar,Rashmi Swaminathan,Sanchithaa Harikumar,N. Banupriya, and S. Saranya,"Animal Detection Using Deep Learning Algorithm", First International Conference on Intelligent Digital Transformation ICIDT - 2019 (11-13 July 2019, Volume - I) .
   10. Andreas Kamilaris, and Francesc X. Prenafeta-Boldú ,"Deep Learning in Agriculture: A Survey", Institute for Food and Agricultural Research and Technology (IRTA).
   11. Arnett EB, Hein CD, Schirmacher MR, Huso MMP, and Szewczak JM,") Evaluating the Effectiveness of an Ultrasonic Acoustic Deterrent for Reducing Bat Fatalities at Wind Turbines", Danilo Russo, Universita‘ degli Studi di Napoli Federico II, Italy Received March 8, 2013; Accepted May 2, 2013; Published June 19, 2013.
   12.  Yassine Bouafia, and Larbi Gazouli,"An Overview of Deep Learning-Based Object Detection Methods", International Conference on Artificial Intelligence and Information Technology, ICA2IT’19.
   13. Kruthi H I, Nisarga A C, Supriya D K, Sanjay C R, Mr. Mohan Kumar K S, and Mr.Mohan Kumar,"Animal Detection Using Deep Learning Algorithm", International Journal of Advanced Research in Computer and Communication Engineering Vol. 10, Issue 6, June 2021.
   14. Adnan Farooq, Xiuping Jia , Jiankun Hu, and Jun Zhou,"Multi-Resolution Weed Classification via Convolutional Neural Network and Superpixel Based Local Binary Pattern Using Remote Sensing Images ", Remote Sens. 2019, 11, 1692; doi:10.3390/rs11141692 .
   15. Gaia Codeluppi , Antonio Cilfone , Luca Davoli , and Gianluigi Ferrari,"LoRaFarM: a LoRaWAN-Based Smart Farming Modular IoT Architecture", Sensors 2020, 20, 2028; doi:10.3390/s20072028.
   16. Mr. Harshal Honmote, Mr. Pranav Katta,Mr. Shreyas Gadekar, and Prof. Madhavi Kulkarni,"Real Time Object Detection and Recognition using MobileNet-SSD with OpenCV", International Journal of Engineering Research and Technology (IJERT),ISSN: 2278-0181,Vol. 11 Issue 01, January-2022.
   17. Hongxiang Fan,Shuanglong Liu,Martin Ferianc, Ho-Cheung Ng,Zhiqiang Que,Shen Liu, and Xinyu Niu,"A Real-Time Object Detection Accelerator with Compressed SSDLite on FPGA", 2018 International Conference on Field-Programmable Technology (FPT), DOI 10.1109/FPT.2018.00014.
   18. Wei Liu,Dragomir Anguelov, Dumitru Erhan, Christian Szegedy,Scott Reed, Cheng-Yang Fu, and Alexander C. Berg,"SSD: Single Shot MultiBox Detector", arXiv:1512.02325V5,29December 2016
   19.  Andrew G. Howard, Menglong Zhu, Bo Chen, Dmitry Kalenichenko ,Weijun Wang,Tobias Weyand,Marco Andreetto and Hartwig Adam,"MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Application", arXiv:1704.04861v1,17 April 2017.
   20. Sabina N,Aneesa M.P, and Haseena P.V, ,"Object Detection using YOLO And Mobilenet SSD: A Comparative Study ", International Journal of Engineering Research Technology (IJERT),ISSN: 2278-0181,Vol. 11 Issue 06, June-2022.
   21. 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.
   22. M. Apollonio, S. Ciuti, L. Pedrotti, and P. Banti, "Ungulates and their management in Italy", in European Ungulates and Their Management in the 21th Century. Cambridge, U.K.: Cambridge Univ. Press, 2010, pp. 475–505.
   23. 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
   24. ZEYNEP ÜNAL "Smart Farming Becomes Even Smarter With Deep Learning—A Bibliographical Analysis", IEEE Access,VOLUME 8, 2020.
   25. Hongxiang Fan,Shuanglong Liu,Martin Ferianc,Ho-Cheung Ng,Zhiqiang Que,Shen Liu,Xinyu Niu and Wayne Luk "A Real-Time Object Detection Accelerator with Compressed SSDLite on FPGA", International Conference on FieldProgrammable Technology (FPT),2018