Design, Simulation and Comparison of Controllers that Estimate an Hydric Balance in Strawberry Plantations in San Pedro

  • Raúl CarrascoEmail author
  • Carolina Lagos
  • Eduardo Viera
  • Leonardo Banguera
  • Ginno Millán
  • Manuel Vargas
  • Álvaro González
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 1066)


This work has a great relevance in modern agriculture, because of the nowadays problematic of the hydric resources at national and world level. Which evaluates different control technics able to estimate an hydric balance in strawberry plantations. Through the PID controllers with neural networks and diffuse logic. Getting better results with neural networks in Adequation Index, Settling Time, Overshoot and Stability, with which the obtained results were validated.


Controllers Hydric balance PID Neural networks Fuzzy 



The authors acknowledge the funding for the investigation to FVF Ingeniería y Consultoría Ltda.


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© Springer Nature Switzerland AG 2020

Authors and Affiliations

  1. 1.Facultad de Ingeniería, Ciencia y TecnologíaUniversidad Bernardo O’HigginsSantiagoChile
  2. 2.Pontificia Universidad Católica de ValparaísoValparaísoChile
  3. 3.Departamento de Ingeniería EléctricaUniversidad de Santiago de ChileSantiagoChile
  4. 4.Facultad de Ingeniería IndustrialUniversidad de GuayaquilGuayaquilEcuador
  5. 5.Facultad de Ingeniería y TecnologíaUniversidad San SebastiánSantiagoChile
  6. 6.Departamento de Ingeniería IndustrialUniversidad de Santiago de ChileSantiagoChile

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