Precision Agriculture Integrating IoT Mesh Network and Cloud Computing
DOI:
https://doi.org/10.22481/recic.v6i1.15229Keywords:
Agricultura 4.0, Fazendas Inteligentes, Comunicação Sem Fio, Internet das CoisasAbstract
Smart Farms are an advanced application of the Internet of Things (IoT) in the agricultural sector, where a variety of agricultural equipment and environmental devices are integrated with advanced technologies. The network connectivity among these devices allows for real-time data exchange, facilitating the monitoring and efficient management of agricultural operations, optimizing resources, and improving the productivity and sustainability of farms. Thus, this work aims to demonstrate the creation of a Precision Agriculture model, in which it will be possible to collect real-time data from the farm as well as perform a mapping of the farm, making it possible to identify the farm's problems and its locations in real-time. For this purpose, The system uses a Mesh network for complete connectivity on the farm and integrates with a cloud service, which stores and processes data from a soil moisture sensor, validating the collection and real-time transmission.
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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), 2019, 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. Figueiredo, E. Cerqueira, A. J. G.ˆ Abelem, 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. Junior, 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 2nd 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 20232023 IEEE/IFIP Network Operations and Management Symposium, 2023, 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.
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