A Proposed IoT Smart Trap using Computer Vision for Sustainable Pest Control in Coffee Culture
Resumo
The Internet of Things (IoT) is emerging as a multi-purpose technology with enormous potential for improving the quality of life in several areas. In particular, IoT has been applied in agriculture to make it more sustainable ecologically. For instance, electronic traps have the potential to perform pest control without any pesticide. In this paper, a smart trap with IoT capabilities that uses computer vision to identify the insect of interest is proposed. The solution includes 1) an embedded system with camera, GPS sensor and motor actuators; 2) an IoT middleware as database service provider, and 3) a Web application to present data by a configurable heat map. The demonstration of proposed solution is exposed and the main conclusions are the perception about pest concentration at the plantation and the viability as alternative pest control against traditional control based on pesticides.
Palavras-chave:
IoT, Internet of things, Computer vision, Insect identification, Smart Traps, Smart Farming
Referências
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Bustillo, E. a.; Villalba, A. (2004). "Manejo da Broca-do-café". Anais do Workshop Internacional do Manejo da broca-do-café. Instituto Agronômico do Paraná - Londrina/PR [S. l.].
Carvalho, João P. (2016). "Manual de prevenção e combate a broca-do-café". FUNDACCER; Parceria EPAMIG - Secretaria de Agricultura Pecuária e Abastecimento de Minas Gerais [S. l.].
Connolly, Aidan. (2018). "Digital agriculture". Research World Magazine, [S. l.], v. 2018, no. 72, pp. 34-36. DOI: 10.1002/rwm3.20714.
Cruz, Mauro; Rodrigues, Joel; Al-Muhtadi, Jalal; Korotaev, Valery; Alburquerque, Victor. (2018). "A Reference Model for Internet of Things Middleware" IEEE Internet of Things Journal. Institute of Electrical and Electronics Engineers Inc., vol. 5, no. 2, pp. 871-883, April 2018. DOI: 10.1109/JIOT.2018.2796561
Damon, Anne. (2000). "A review of the biology and control of the coffee berry borer". [S. l.]. Bulletin of entomological research, vol. 90, no. 6, pp. 453-465, 2000. DOI: 10.1017/S0007485300000584.
De Souza, Júlio César; Silva, Rogério Antônio; Reis, Rebelles; Paulo, Reis; Rebelles, Paulo. (2016). "Monitoramento e controle da broca-do-café com eficiência e reacionalidade". EPAMIG - Circular Técnica, [S. l.], no. 31, pp. 1-4.
ITU. (2020). "5G of Mobile Technologies". Date accessed: 02/17/2020. Available at: https://www.itu.int/en/mediacentre/backgrounders/Pages/5G-fifth-generation-of-mobile-technologies.aspx.
Martineau, Maxime; Conte, Donatello. (2017). "A survey on image-based insect classification". Pattern Recognition, [S. l.], vol. 65, no. May 2017, pp. 273-284. DOI: 10.1016/j.patcog.2016.12.020.
Medeiros, Mauro Sérgio; Lima, Sidnei Hermes De. (2016). "Monitoramento da Presença de Broca-do-Café através de Armadilhas atrativas no município de Romaria/MG". Fundação Carmelitana Mário Palmério (FUCAMP). [S. l.].
OpenCV Team. (2000). "The OpenCV Library". Date accessed: 02/17/2020. Available at: https://opencv.org/.
Pereira, Adriano. (2006). "Uso de armadilha visando geração de nível de ação e correlação entre captura e infestação de hypothenemus hampei na cultura do café." Dissertação (mestrado) - Universidade Federal de Viçosa, [S. l.], pp. 47.
RPF. (2020). "Raspberry Pi Foundation". Date accessed: 01/25/2020. Available at: https://www.raspberrypi.org/.
Santos, Diego; Brandão, Renann; Duarte, Gabriela; Totti, Débora; Furtado, Vasco; Rodrigues, Joel. (2018). "A Fan-Based Smart Selective Trap for Flying Insects". Proceedings - 10th IEEE Latin-American Conference on Communications, LATINCOM 2018, [S. l.], pp. 1-5. DOI: 10.1109/LATINCOM.2018.8613239.
Santos, Diego; Rodrigues, Joel; Furtado, Vasco; Saleem, Kashif; Korotaev, Valery (2019). "Automated electronic approaches for detecting disease vectors mosquitoes through the wing-beat frequency". Journal of Cleaner Production, [S. l.], vol. 217, pp. 767-775. DOI: 10.1016/j.jclepro.2019.01.187. Available at: https://doi.org/10.1016/j.jclepro.2019.01.187.
Potamitis, Ilyas; Rigakis, Iraklis. (2016). "Large Aperture Optoelectronic Devices to Record". IEEE Sensors Journal, [S. l.], vol. 16, no. 15, pp. 6053-6061. DOI: 10.1109/JSEN.2016.2574762.
Wang, Jiangning. (2012). "A new automatic identification system of insect images at the order level". Knowledge-Based Systems, [S. l.], vol. 33, pp. 102-110. DOI: 10.1016/j.knosys.2012.03.014.
Wi-Fi Alliance. (2020). "Wi-Fi Certified 802.11ac". Date accessed: 03/26/2020. Available at: https://www.wi-fi.org/discover-wi-fi/wi-fi-certified-ac.
Publicado
30/06/2020
Como Citar
FIGUEIREDO, Vitor A.C.; MAFRA, Samuel B.; RODRIGUES, Joel J. P. C..
A Proposed IoT Smart Trap using Computer Vision for Sustainable Pest Control in Coffee Culture. In: SIMPÓSIO BRASILEIRO DE COMPUTAÇÃO UBÍQUA E PERVASIVA (SBCUP), 12. , 2020, Cuiabá.
Anais [...].
Porto Alegre: Sociedade Brasileira de Computação,
2020
.
p. 201-210.
ISSN 2595-6183.
DOI: https://doi.org/10.5753/sbcup.2020.11226.
