Digital Platform Integrated with Wireless Sensor Network for Continuous Soil Moisture Monitoring

  • Antonio Carlos Silva UFRRJ
  • Rosane F. de Oliveira UFRRJ
  • Luiz Carlos G. Sacramento Junior CEFET-RJ
  • Fabricio L. Silva CEFET-RJ
  • Valdinei M. de Oliveira CEFET-RJ
  • Cristiano de S. de Carvalho CEFET-RJ
  • João Pedro Larangeira UFRRJ
  • Marcos Bacis Ceddia UFRRJ
  • Diego Brandão CEFET-RJ

Abstract


Monitoring the spatial variability of soil moisture is essential for improving water use efficiency in agriculture. However, implementing a monitoring system requires a combination of technology (soil moisture sensors, signal conditioning, and processing, data transmission and processing methods) and low cost. Wireless soil moisture sensor networks (WSMN) have emerged in recent years. These systems encompass soil sensors, wireless communication technologies, and hardware platforms. In this paper, we present the development of a digital platform integrated with a wireless sensor network (WSN) for continuous soil moisture monitoring, focused on assisting decision-making regarding crop management in an agroecological production system.

References

Ali, M., Kanwal, N., Hussain, A., Samiullah, F., Iftikhar, A., and Qamar, M. (2020). Iot based smart garden monitoring system using nodemcu microcontroller. International Journal of Advances in Applied Sciences, 7(8):117–124.

Araújo, R., Goedert, W. J., and Lacerda, M. P. C. (2007). Qualidade de um solo sob diferentes usos e sob cerrado nativo. Revista Brasileira de Ciência do solo, 31:1099–1108.

Deng, F., Zuo, P., Wen, K., and Wu, X. (2020). Novel soil environment monitoring system based on rfid sensor and lora. Computers and Electronics in Agriculture, 169:105169.

Figueiredo, C. M. S. and Nakamura, E. (2003). Computação móvel: Novas oportunidades e novos desafios. pages 16–28.

Kashyap, B. and Kumar, R. (2021). Sensing methodologies in agriculture for soil moisture and nutrient monitoring. IEEE Access, 9:14095–14121.

Litjens, O. J. (2009). Automação de estufas agrícolas utilizando sensoriamento remoto e o protocolo zigbee.

Lloret, J., Sendra, S., Garcia, L., and Jimenez, J. M. (2021). A wireless sensor network deployment for soil moisture monitoring in precision agriculture. Sensors, 21(21):7243.

Loureiro, A. A. F. (2010). Redes de sensores sem fio. Grandes Desafios da Pesquisa em Computação para o Período 2006-2016.

Malik, A. and Kushwah, R. (2023). Energy-efficient scheduling in iot using wi-fi and zigbee cross-technology. The Journal of Supercomputing, pages 1–30.

Pramanik, M., Khanna, M., Singh, M., Singh, D., Sudhishri, S., Bhatia, A., and Ranjan, R. (2022). Automation of soil moisture sensor-based basin irrigation system. Smart Agricultural Technology, 2:100032.

Singh, R., Srivastava, S., and Mishra, R. (2020). Ai and iot based monitoring system for increasing the yield in crop production. In 2020 International Conference on Electrical and Electronics Engineering (ICE3), pages 301–305. IEEE.

Yu, L., Gao, W., R Shamshiri, R., Tao, S., Ren, Y., Zhang, Y., and Su, G. (2021). Review of research progress on soil moisture sensor technology.
Published
2024-07-21
SILVA, Antonio Carlos et al. Digital Platform Integrated with Wireless Sensor Network for Continuous Soil Moisture Monitoring. In: WORKSHOP ON COMPUTING APPLIED TO THE MANAGEMENT OF THE ENVIRONMENT AND NATURAL RESOURCES (WCAMA), 15. , 2024, Brasília/DF. Anais [...]. Porto Alegre: Sociedade Brasileira de Computação, 2024 . p. 189-198. ISSN 2595-6124. DOI: https://doi.org/10.5753/wcama.2024.3208.