Agricultura de Precisão Integrando de Rede em Malha IoT e Computação em Nuvem
DOI:
https://doi.org/10.22481/recic.v6i1.15229Palabras clave:
Agricultura 4.0, Fazendas Inteligentes, Comunicaç˜ao Sem Fio, Internet das CoisasResumen
As Fazendas Inteligentes são uma aplicação da Internet das Coisas (IoT) no setor agrícola, onde uma variedade de equipamentos agrícolas e dispositivos ambientais são integrados com tecnologias avançadas. A conectividade de rede entre estes dispositivos permite a troca de dados em tempo real, facilitando o monitoramento e a gestão eficiente das operações agrícolas, otimizando recursos e melhorando a produtividade e sustentabilidade das fazendas. Deste modo este trabalho pretende mostrar a criação de um modelo de Agricultura de Precisão, em que será possível coletar dados da fazenda em tempo real bem como realizar um mapeamento da fazenda, sendo possível dizer qual o problema da fazenda e onde ele se encontra, se houver, em tempo real. Para isso, o sistema utiliza uma rede em malha para conectividade total na fazenda e se integra a um serviço de nuvem, que armazena e processa dados de um sensor de umidade do solo, validando a coleta e envio em tempo real.
Descargas
Citas
E. Karunathilake, A. T. Le, S. Heo, Y. S. Chung, and S. Mansoor,
“The path to smart farming: Innovations and opportunities in precision
agriculture,” Agriculture, vol. 13, no. 8, p. 1593, 2023.
C. Prakash, L. P. Singh, A. Gupta, and S. K. Lohan, “Advancements
in smart farming: A comprehensive review of iot, wireless communication,
sensors, and hardware for agricultural automation,” Sensors and
Actuators A: Physical, p. 114605, 2023.
A. Triantafyllou, D. C. Tsouros, P. Sarigiannidis, and S. Bibi, “An
architecture model for smart farming,” in 2019 15th International
Conference on Distributed Computing in Sensor Systems (DCOSS),
, pp. 385–392.
W. L. Costa, M. M. Silveira, T. de Araujo, and R. L. Gomes, “Improving
ddos detection in iot networks through analysis of network traffic characteristics,”
in 2020 IEEE Latin-American Conference on Communications
(LATINCOM), 2020, pp. 1–6.
G. Czeczot, I. Rojek, and D. Mikołajewski, “Analysis of cyber security
aspects of data transmission in large-scale networks based on the
lorawan protocol intended for monitoring critical infrastructure sensors,”
Electronics, vol. 12, no. 11, p. 2503, 2023.
M. V. Silva, E. E. Mosca, and R. L. Gomes, “Green industrial internet
of things through data compression,” International Journal of Embedded
Systems, vol. 15, no. 6, pp. 457–466, 2022.
K. Morman, D. Dexter, A. Costin, and J. Mcnair, “An iot mesh
network for a smart refrigeration monitoring system,” in Proceedings
of the 8th ACM/IEEE Conference on Internet of Things Design and
Implementation, 2023, pp. 472–473.
E. S. Aguiar, B. A. Pinheiro, J. F. S. Figueirˆedo, E. Cerqueira, A. J. G.
Abel´em, and R. L. Gomes, “Trends and challenges for quality of service
and quality of experience for wireless mesh networks,” Wireless Mesh
Networks, pp. 127–148, 2011.
R. L. Gomes, J. J. J´unior, A. G. Abel´em, and W. M. J´unior, “Qoe and
qos support on wireless mesh networks,” in Proceedings of the XV
Brazilian Symposium on Multimedia and the Web, ser. WebMedia ’09.
New York, NY, USA: Association for Computing Machinery, 2009.
[Online]. Available: https://doi.org/10.1145/1858477.1858479
R. Gomes, W. Junior, E. Cerqueira, and A. Abelem, “A qoe fuzzy routing
protocol for wireless mesh networks,” in Future Multimedia Networking,
S. Zeadally, E. Cerqueira, M. Curado, and M. Leszczuk, Eds. Berlin,
Heidelberg: Springer Berlin Heidelberg, 2010, pp. 1–12.
V. Gaikwad, S. Shewale, A. Shikalkar, A. Shilimkar, K. Solanke,
and S. Pawar, “Wireless mesh network for smart farming,” in 2023
nd International Conference on Vision Towards Emerging Trends in
Communication and Networking Technologies (ViTECoN). IEEE, 2023,
pp. 1–5.
A. V. Turukmane, M. Pradeepa, K. S. S. Reddy, R. Suganthi, Y. M.
Riyazuddin, and V. S. Tallapragada, “Smart farming using cloud-based
iot data analytics,” Measurement: Sensors, vol. 27, p. 100806, 2023.
M. M. Silveira, A. L. Portela, R. A. Menezes, M. S. Souza, D. S.
Silva, M. C. Mesquita, and R. L. Gomes, “Data protection based on
searchable encryption and anonymization techniques,” in NOMS 2023-
IEEE/IFIP Network Operations and Management Symposium,
, pp. 1–5.
W. L. Costa, A. L. Portela, and R. L. Gomes, “Features-aware ddos
detection in heterogeneous smart environments based on fog and cloud
computing,” International Journal of Communication Networks and
Information Security, vol. 13, no. 3, pp. 491–498, 2021.
N. S. Sayem, S. Chowdhury, A. H. M. O. Haque, M. R. Ali,
M. S. Alam, S. Ahamed, and C. K. Saha, “Iot-based smart protection
system to address agro-farm security challenges in bangladesh,” Smart
Agricultural Technology, vol. 6, p. 100358, 2023. [Online]. Available:
https://www.sciencedirect.com/science/article/pii/S2772375523001867
M. S. H. P. C. A. R. C. S. B. G. A. S. T. P. S. J.
Suji Prasad, M. Thangatamilan and K. K. Sadasivuni, “An efficient
lora-based smart agriculture management and monitoring system
using wireless sensor networks,” International Journal of Ambient
Energy, vol. 43, no. 1, pp. 5447–5450, 2022. [Online]. Available:
https://doi.org/10.1080/01430750.2021.1953591
E. M. Pechlivani, A. Papadimitriou, S. Pemas, G. Ntinas, and
D. Tzovaras, “Iot-based agro-toolbox for soil analysis and environmental
monitoring,” Micromachines, vol. 14, no. 9, 2023. [Online]. Available:
https://www.mdpi.com/2072-666X/14/9/1698
Vineetha, N. N. Bala, V. Sudha, and D. Balakrishnan, “An enhanced
automation analysis for structural algorithm in agro-industries using
iot,” Engineering Proceedings, vol. 59, no. 1, 2023. [Online]. Available:
https://www.mdpi.com/2673-4591/59/1/118
E. Datasheet, “Esp32s datasheet,” Espr. Syst. Datasheet, pp. 1–60, 2021.
F. Azzedin and T. Alhazmi, “Secure data distribution architecture in iot
using mqtt,” Applied Sciences, vol. 13, no. 4, p. 2515, 2023.
Descargas
Publicado
Número
Sección
Licencia
Derechos de autor 2024 Revista de Ciência da Computação
Esta obra está bajo una licencia internacional Creative Commons Atribución 4.0.
