PC2I: Plataforma Ciberfísica para Irrigação Inteligente por meio de Internet das Coisas

• Jammys G. B. da Silva IFAL
• Jabes S. Santos IFAL
• Josefa L. M. dos Santos IFAL
• Carlos E. B. Santos IFAL
• Tony Silva IFAL
• Tamilly K. do Nascimento IFAL
• Felipe A. Lopes IFAL

DOI: https://doi.org/10.5753/erbase.2021.20064

Abstract

Water is vital to ensure food security for the world population, and agriculture is the largest consuming sector os this resource, using twice as much water as industry and nine times more than citizens in municipalities. The main causes for this water consumption are leaks in the distribution systems and the irrigation itself, which results in waste. In this scenario, this paper proposes an architecture for developing an intelligent platform to monitor water levels required in a given crop and direct an optimized amount of water to the places where the resource is requested. As a contribution, we show how components of the Internet of Things and Machine Learning can be combined in a reusable architecture for smart irrigation.

References

Albuquerque, R. S. d. (2019). Sistema de irrigação inteligente para agricultura familiar baseado em iot.

Aleotti, J., Amoretti, M., Nicoli, A., and Caselli, S. (2018). A smart precision-agriculture platform for linear irrigation systems. In 2018 26th International Conference on Software, Telecommunications and Computer Networks (SoftCOM), pages 1–6. IEEE.

Krishnan, R. S., Julie, E. G., Robinson, Y. H., Raja, S., Kumar, R., Thong, P. H., et al. (2020). Fuzzy logic based smart irrigation system using internet of things. Journal of Cleaner Production, 252:119902.

Nawandar, N. K. and Satpute, V. R. (2019). Iot based low cost and intelligent module for smart irrigation system. Computers and electronics in agriculture, 162:979–990.

Parfitt, J., M., B., and S., M. (2010). Food waste within food supply chains:quantification and potential for change to 2050.

Steduto, P., Hsiao, T. C., Raes, D., and Fereres, E. (2009). Aquacrop—the fao crop model to simulate yield response to water: I. concepts and underlying principles. Agronomy Journal, 101(3):426–437.

Thakare, S. and Bhagat, P. (2018). Arduino-based smart irrigation using sensors and esp8266 wifi module. In 2018 Second International Conference on intelligent computing and control systems (ICICCS), pages 1–5. IEEE.

Togneri, R., Kamienski, C., Dantas, R., Prati, R., Toscano, A., Soininen, J.-P., and Cinotti, T. S. (2019). Advancing iot-based smart irrigation. IEEE Internet of Things Magazine, 2(4):20–25.