Development of a fertigation control system for hydroponic micro tunnel greenhouse for pepper cultivation (Capsicum Annuum L.)

Authors

  • C. Gerardo-Parra Departamento Unidad de Posgrado. Tecnológico Nacional de México/ITCuliacán; C.P. 80220, Culiacán Rosales, Sinaloa. 13 de mayo de 2025. Author
  • J.D. Padilla-Rochín Departamento Unidad de Posgrado. Tecnológico Nacional de México/ITCuliacán; C.P. 80220, Culiacán Rosales, Sinaloa. 13 de mayo de 2025. Author
  • D.E. Castro-Palazuelos Departamento Unidad de Posgrado. Tecnológico Nacional de México/ITCuliacán; C.P. 80220, Culiacán Rosales, Sinaloa. 13 de mayo de 2025. Author
  • J.C. Picos-Ponce Departamento Unidad de Posgrado. Tecnológico Nacional de México/ITCuliacán; C.P. 80220, Culiacán Rosales, Sinaloa. 13 de mayo de 2025. Author
  • J.J. Rochín-Medina Departamento Unidad de Posgrado. Tecnológico Nacional de México/ITCuliacán; C.P. 80220, Culiacán Rosales, Sinaloa. 13 de mayo de 2025. Translator
  • L.E. Barreto-Salazar Departamento Unidad de Posgrado. Tecnológico Nacional de México/ITCuliacán; C.P. 80220, Culiacán Rosales, Sinaloa. 13 de mayo de 2025. Author
  • G.J. Rubio-Astorga Departamento Unidad de Posgrado. Tecnológico Nacional de México/ITCuliacán; C.P. 80220, Culiacán Rosales, Sinaloa. 13 de mayo de 2025. Author

Keywords:

Control, Evapotranspiration, Fuzzy Logic, Moisture, PLC.

Abstract

One of the most widely used methods to estimate crop water requirements is the FAO Penman–Monteith evapotranspiration method. However, this method has limitations due to abrupt changes in climatic conditions. That can lead to inadequate irrigation and reduced crop productivity. This project proposes a substrate moisture control system that regulates irrigation using an intelligent control algorithm in a laboratory-scale micro-tunnel hydroponic greenhouse. The objective is to develop a fertigation control system for a hydroponic greenhouse that satisfies moisture and water consumption requirements. To achieve this, a mathematical model is established to describe the substrate moisture dynamics. Subsequently, it is evaluated using PID (Proportional–Integral–Derivative), FL (Fuzzy Logic), and NN (Neural Network) controllers. Next, the control algorithm is designed and programmed for the PLC (Programmable Logic Controller). Finally, it is implemented in a laboratory-scale micro-tunnel greenhouse, where fertigation consumption and crop growth rate are evaluated. As a result, the evapotranspiration method yielded an MSE of 19.68% and a water volume of 213.25 L. In substrate moisture control, an MSE of 3.27% and a 64.57 L water consumption were obtained. Finally, the two approaches were compared, revealing that the controlled method reduced fertigation consumption by over 60% relative to the traditional approach. The limitations of this study are the fact that the greenhouse is laboratory scale, with an area of 6 square meters, and that climatic conditions during the experiment were not favorable for optimal crop development.

References

Alberto, M., Nava, G., Alberto, O., Espinosa, R., & Nieto, N. D. (2023). manual de producción de plantas medicinales con técnica de hidroponía. https://www.researchgate.net/publication/370490962

Allen, R. G., Pereira, L. S., Raes, D., & Smith, M. (1998). Crop Evapotranspiration (guidelines for computing crop water requirements).

Azua Barron, M., Arteaga-Ramirez, R., Vázquez-Peña, M. A., & Quevedo-Nolasco, A. (2020). Calibración y evaluación de modelos matemáticos para calcular evapotranspiración de referencia en invernaderos. Revista Mexicana de Ciencias Agrícolas, 11(1), 125–137. https://doi.org/10.29312/remexca.v11i1.1906

Balbis, L. (2019). Economic Model Predictive Control for Irrigation Systems. 2019 8th International Conference on Modeling Simulation and Applied Optimization (ICMSAO), 1–4. https://doi.org/10.1109/ICMSAO.2019.8880332

Beer, F. P. ., Johnston, E. Rusell., Eisenberg, E. R. ., Mazurek, D. F. ., León Cardenas, Javier., & Murrieta Murrieta, J. Elmer. (2007). Mécanica vectorial para ingenieros: estática. McGraw-Hill Interameriana.

Cohen-Manrique, C. S., Burbano-Bustos, A. F., Salgado-Ordosgoitia, R. D., & Merlano-Porto, R. H. (2020). Control de riego en cultivos de ahuyama en Sincelejo, Sucre (Colombia) gestionados a través del Internet de las Cosas. Información Tecnológica, 31(5), 79–88. https://doi.org/10.4067/S0718-07642020000500079

Dorf, R. C. ., Bishop, R. H. ., Dormido Canto, S., & Dormido Canto, Raquel. (2005). Sistemas de control moderno. Pearson Educación.

Dwiratna, S., Amaru, K., & Nanda, M. A. (2022). The Modified Hydroponic Kit Based on Self-Fertigation System Designed for Remote Areas. Horticulturae, 8(10). https://doi.org/10.3390/horticulturae8100948

Elhassan Ahmed, O. M., Osman, A. A., & Awadalkarim, S. D. (2018). A Design of an Automated Fertigation System Using IoT. 2018 International Conference on Computer, Control, Electrical, and Electronics Engineering (ICCCEEE), 1–5. https://doi.org/10.1109/ICCCEEE.2018.8515772

Hamonangan Nasution, T., Dahlan Parinduri, A., Adlin Harahap, L., & Fahmi Nasution, C. (2019). Design of soil moisture control prototypes for plant cultivation. 2019 The 3rd International Conference on Electrical, Telecommunication and Computer Engineering (ELTICOM), 82–85. https://doi.org/10.1109/ELTICOM47379.2019.8943884

Hunt, R. (1990). Basic Growth Analysis. Springer Netherlands. https://doi.org/10.1007/978-94-010-9117-6

Krishnan, R. S., Julie, E. G., Robinson, Y. H., Raja, S., Kumar, R., Thong, P. H., & Son, L. H. (2020). Fuzzy Logic based Smart Irrigation System using Internet of Things. Journal of Cleaner Production, 252, 119902. https://doi.org/10.1016/j.jclepro.2019.119902

Martínez-González, F., Sosa-Pérez, F., & Ortiz-Medel, J. (2010). Comportamiento de la humedad del suelo con diferente cobertura vegetal en la Cuenca La Esperanza. Tecnología y Ciencias Del Agua, 1(4), 89–103. http://www.scielo.org.mx/scielo.php?script=sci_arttext&pid=S2007-24222010000400005&lng=es&nrm=iso>

Merritt, H. E. (1967). Hydraulic Control Systems. John Wiley & Sons. www.manaraa.com

Núñez-González, G., Velázquez-Pérez, D., Pelayo-Cortés, F. J., & Barboza-Jiménez, P. (2019). Analysis of reference evapotranspiration behavior during the rainy season at five weather stations in the Lerma-Chapala basin. Ingeniería Agrícola y Biosistemas, 11(2), 147–159. https://doi.org/10.5154/r.inagbi.2018.06.014

Ogata, K. (2010). Ingeniería de control moderna. Pearson Educación.

Ordoñez Avila, J. L., & Portillo, E. S. (2020). Diseño e Implementación de un Controlador Difuso para Control de Frecuencia de un Motor en un PLC S7-1200. Proceedings of the LACCEI International Multi-Conference for Engineering, Education and Technology. https://doi.org/10.18687/LACCEI2020.1.1.490

Perlite Institute. Water-Holding Capacity of Perlite. 2019. Available online: https://hessperlite.com/PDFs/Perlite-WaterHolding-Capacity.pdf

Rivai, M., Suwito, Ashari, M., & Mustaghfirin, M. A. (2019). Drip Irrigation System using BLDC Motor-driven Direct Pumping and Soil Moisture Sensor. ICOMITEE, 221–226. https://doi.org/10.1109/ICOMITEE.2019.8921024

Rodríguez-Fernández, J., Cerdá-Filiu, L. M., & Sánchez-Horneros, R. (2014). Automatismos industriales (C. Lara Carmona, Ed.; 1st ed.). Paraninfo. www.paraninfo.es

SEMARNAT. (2020). Decreto por el que se aprueba el Programa Nacional Hídrico 2020-2024. https://sinav30.conagua.gob.mx:8080/pnh/PNH_2020_2024.pdf

Soto-Bravo, F., & Monge-Palma, J. I. (2023). Comportamiento morfofisiológico y productivo de chile dulce hidropónico en invernadero con diferentes estrategias de manejo del fertiriego. Agronomía Costarricense, 37–57. https://doi.org/10.15517/rac.v47i1.53948

Souza, G., Aquino, P. T., Filev Maia, R., Kamienski, C., & Soininen, J.-P. (2020). A fuzzy irrigation control system. 2020 IEEE Global Humanitarian Technology Conference (GHTC), 1–6. https://doi.org/10.1109/GHTC46280.2020.9342960

van Os, E. A., Gieling, Th. H., & Lieth, J. H. (2019). Technical Equipment in Soilless Production Systems. In Soilless Culture (pp. 587–635). Elsevier. https://doi.org/10.1016/B978-0-444-63696-6.00013-X

Vázquez Rueda, M. G., Ibarra Reyes, M., Flores García, F. G., & Moreno Casillas, H. A. (2018). Redes neuronales aplicadas al control de riego usando instrumentación y análisis de imágenes para un micro-invernadero aplicado al cultivo de Albahaca. Research in Computing Science, 147(5), 93–103. https://doi.org/10.13053/rcs-147-5-7

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Published

2026-02-19

How to Cite

Gerardo-Parra, C., Padilla-Rochín, J., Castro-Palazuelos, D., Picos-Ponce, J., Barreto-Salazar, L., & Rubio-Astorga, G. (2026). Development of a fertigation control system for hydroponic micro tunnel greenhouse for pepper cultivation (Capsicum Annuum L.) (J. Rochín-Medina, Trans.). RIIIT Revista Internacional de Investigación E Innovación Tecnológica, 13(78), 38-58. https://revistas.uadec.mx/RIIIT/article/view/804