Sistema Automatizado de Irrigação com Arquitetura IoT Baseado no Método Hargreaves Samani e Avaliação de Usabilidade
Resumo
Este artigo apresenta um protótipo fim a fim de um sistema automatizado de irrigação baseado em IoT (ESP32, sensores de umidade do solo e ar), com dados via MQTT. Uma plataforma web permite monitoramento e controle, com modo automático guiado pela evapotranspiração de referência (Hargreaves–Samani) e coeficiente de cultura, oferecendo um manejo mais preciso do que limiares fixos. Uma avaliação centrada no usuário (Npre = 116, Npos = 97) indicou alta usabilidade (SUS: M = 87,27) e utilidade percebida (TAM_Mean: M = 4,74), com forte preferência (89,7%) pela automação com opção de acionamento manual.
Referências
Allen, R. G., Pereira, L. S., Raes, D., and Smith, M. (1998). Crop Evapotranspiration: Guidelines for Computing Crop Water Requirements. FAO Irrigation and Drainage Paper 56. Food and Agriculture Organization of the United Nations (FAO), Rome.
Atzori, L., Iera, A., and Morabito, G. (2010). The internet of things: A survey. Computer networks, 54(15):2787–2805.
Bangor, A., Kortum, P., and Miller, J. (2008). An empirical evaluation of the system usability scale. International Journal of Human-Computer Interaction, 24(6):574–594.
Brooke, J. (1996). Sus: A “quick and dirty” usability scale. In Jordan, P. W., Thomas, B., Weerdmeester, B. A., and McClelland, I. L., editors, Usability Evaluation in Industry, pages 189–194. Taylor & Francis.
Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13(3):319–340.
Food and Agriculture Organization of the United Nations (FAO) (2026). Aquastat – fao’s global information system on water and agriculture. [link]. Acesso em: 21 de maio de 2026.
Hargreaves, G. H. and Samani, Z. A. (1985). Reference crop evapotranspiration from temperature. Applied Engineering in Agriculture, 1(2):96–99.
Juca, S. C. S., Rabelo, S. L., Gonçalves, D. L. C., et al. (2018). Construction of soil moisture and irrigation iot monitoring system using project based learning. International Journal for Innovation Education and Research, 6(8):99–111.
Kamienski, C., Soininen, J.-P., Taumberger, M., Dantas, R., Toscano, A., Cinotti, T. S., Maia, R. F., and Neto, A. T. (2019). Swamp: An iot-based smart water management platform for precision irrigation in agriculture. Sensors, 19(2):311.
Lee, J. D. and See, K. A. (2004). Trust in automation: Designing for appropriate reliance. Human Factors, 46(1):50–80.
Parasuraman, R., Sheridan, T. B., and Wickens, C. D. (2000). A model for types and levels of human interaction with automation. IEEE Transactions on systems, man, and cybernetics-Part A: Systems and Humans, 30(3):286–297.
Pereira, G. P., Chaari, M. Z., and Daroge, F. (2023). Iot-enabled smart drip irrigation system using esp32. IoT, 4(3):221–243.
Tamil Malar, J. E. and Vaishnavi, M. (2022). Iot based smart irrigation system using esp32. In 2022 3rd International Conference on Electronics and Sustainable Communication Systems (ICESC). IEEE.
Venkatesh, V., Morris, M. G., Davis, G. B., and Davis, F. D. (2003). User acceptance of information technology: Toward a unified view. MIS Quarterly, 27(3):425–478.
Atzori, L., Iera, A., and Morabito, G. (2010). The internet of things: A survey. Computer networks, 54(15):2787–2805.
Bangor, A., Kortum, P., and Miller, J. (2008). An empirical evaluation of the system usability scale. International Journal of Human-Computer Interaction, 24(6):574–594.
Brooke, J. (1996). Sus: A “quick and dirty” usability scale. In Jordan, P. W., Thomas, B., Weerdmeester, B. A., and McClelland, I. L., editors, Usability Evaluation in Industry, pages 189–194. Taylor & Francis.
Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13(3):319–340.
Food and Agriculture Organization of the United Nations (FAO) (2026). Aquastat – fao’s global information system on water and agriculture. [link]. Acesso em: 21 de maio de 2026.
Hargreaves, G. H. and Samani, Z. A. (1985). Reference crop evapotranspiration from temperature. Applied Engineering in Agriculture, 1(2):96–99.
Juca, S. C. S., Rabelo, S. L., Gonçalves, D. L. C., et al. (2018). Construction of soil moisture and irrigation iot monitoring system using project based learning. International Journal for Innovation Education and Research, 6(8):99–111.
Kamienski, C., Soininen, J.-P., Taumberger, M., Dantas, R., Toscano, A., Cinotti, T. S., Maia, R. F., and Neto, A. T. (2019). Swamp: An iot-based smart water management platform for precision irrigation in agriculture. Sensors, 19(2):311.
Lee, J. D. and See, K. A. (2004). Trust in automation: Designing for appropriate reliance. Human Factors, 46(1):50–80.
Parasuraman, R., Sheridan, T. B., and Wickens, C. D. (2000). A model for types and levels of human interaction with automation. IEEE Transactions on systems, man, and cybernetics-Part A: Systems and Humans, 30(3):286–297.
Pereira, G. P., Chaari, M. Z., and Daroge, F. (2023). Iot-enabled smart drip irrigation system using esp32. IoT, 4(3):221–243.
Tamil Malar, J. E. and Vaishnavi, M. (2022). Iot based smart irrigation system using esp32. In 2022 3rd International Conference on Electronics and Sustainable Communication Systems (ICESC). IEEE.
Venkatesh, V., Morris, M. G., Davis, G. B., and Davis, F. D. (2003). User acceptance of information technology: Toward a unified view. MIS Quarterly, 27(3):425–478.
Publicado
19/07/2026
Como Citar
OLIVEIRA, Felipe D. M.; ANDRADE, Lucas R. S.; BORBA, Lucas V. F.; FERREIRA, Ingrid K. B.; FRANÇA, Nathália N. S.; SALES, Joeberty D. N.; SILVA, João L. L.; PARADEDA, Raul B..
Sistema Automatizado de Irrigação com Arquitetura IoT Baseado no Método Hargreaves Samani e Avaliação de Usabilidade. In: SEMINÁRIO INTEGRADO DE SOFTWARE E HARDWARE (SEMISH), 53. , 2026, Gramado/RS.
Anais [...].
Porto Alegre: Sociedade Brasileira de Computação,
2026
.
p. 1034-1039.
ISSN 2595-6205.
DOI: https://doi.org/10.5753/semish.2026.23111.
