Monitoreo de parámetros ambientales en casas de cultivo a través de aplicación IoT

Iván Santana Ching; Arturo Javier Cárdenas Rivero; Richar Sosa López; Jorge Armando Portal Díaz

Authors

Iván Santana Ching Universidad Central de Las Villas "Marta Abreu"
Arturo Javier Cárdenas Rivero Universidad Central de Las Villas "Marta Abreu"
Richar Sosa López Universidad Central de Las Villas "Marta Abreu"
Jorge Armando Portal Díaz Universidad Central de Las Villas "Marta Abreu"

Keywords:

Precision agriculture; greenhouses; IoT; Wireless sensor networks

Abstract

In the greenhouses of the UEB of Protected Crops “Valle del Yabú” an automated irrigation system was implemented which has allowed to improve the productive results. However, the system lacks a monitoring and supervision system of environmental variables such as soil moisture, air humidity, temperature and the incidence of sunlight that contributes to a right decision making. The design of an IoT application would guarantee the local and/or remote visualization of the information, the checking of historical values, the establishment of alarms under certain conditions, as well as the administration of users. The selection of the IoT platform, as well as the most appropriate storage and communication tools, ensure a suitable application for the supervision of the greenhouses. The IoT ThingsBoard platform satisfactorily meets all the requirements for its correct operation in industrial applications, including precision agriculture. The implemented application ensures the monitoring and storage of environmental variables favoring a right decision making. On the other hand, the stored historical data propitiate the development of process models such as irrigation and the phases of growth, development and production of plants, which favor the improvement of their performance.

References

Bitencourt, E. N., & Pereira dos Anjos, W. (2018). IoT Centralization and Management Applying ThingsBoard Platform. En Smart Services Research Unit. Recuperado de Häme University of Applied Sciences - HAMK website: https://www.hamk.fi/wp-content/uploads/2019/03/Project-Report_bitencourt_anjos.pdf

Cadavid, H., Garzón, W., Pérez, A., López, G., Mendivelso, C., & Ramírez, C. (2018). Towards a Smart Farming Platform: From IoT-Based Crop Sensing to Data Analytics. Colombian Conference on Computing, 237-251. https://doi.org/10.1007/978-3-319-98998-3_19

Caicedo Ortiz, J. G., De la Hoz Franco, E., Morales, R., Piñeres Espitia, G., Combita Niño, H., Estévez, F., & Cama Pinto, A. (2018). Monitoring system for agronomic variables based in WSN technology on cassava crops. Computers and Electronics in Agriculture, 145(January), 275-281. https://doi.org/10.1016/j.compag.2018.01.004

Cirani, S., & Ferrari, G. (2019). Internet of Things. Architectures, Protocols and Standards. En John Wiley & Sons Ltd. Hoboken, USA.

Hernández Rojas, L., Mazon Olivo, E., & Campoverde Marca, M. (2015). Cloud Computing para el Internet de las Cosas. Caso de estudio orientado a la Agricultura de Precisión. En Memoria de Artículos del Primer Congreso de Ciencia y Tecnología UTMACH 2015. (pp. 48-49). Machala, Ecuador: Primer Congreso de Ciencia y Tecnología UTMACH 2015.

Katsikeas, S., Fysarakis, K., Miaoudakis, A., Bemten, A. Van, & Askoxylakis, I. (2017). 2017 IEEE Symposium on Computers and Communications (ISCC). Lightweight & Secure Industrial IoT Communications via the MQ Telemetry Transport Protocol. IEEE.

Li, Y. (2018). An Integrated Platform for the Internet of Things Based on an Open Source Ecosystem. Future Internet, 10(11), 11-15. https://doi.org/10.3390/fi10110105

Liñan, A., Bagula, A., & Pietrosemoli, E. (2016). Internet of Things in 5 days. En Creative Commons.

Madruga Peláez, A., Estevez Pérez, A. A., López, R. S., Santana Ching, I., & García Algora, C. M. (2019). Red de Sensores Inalámbricos para la Adquisición de Datos en Casas de Cultivo. Ingeniería, 24(3). https://doi.org/10.14483/23448393.14437

Mohd Kassim, M. R., Harun, A. N., & Mat Yusoff, I. (2017). IoT in Precision Agriculture applications using Wireless Moisture Sensor Network. ICOS 2016 - 2016 IEEE Conference on Open Systems, 24-29. https://doi.org/10.1109/ICOS.2016.7881983

Prakash Jayaraman, P., Yavari, A., Georgakopoulos, D., Morshed, A., & Zaslavsky, A. (2016). Internet of Things Platform for Smart Farming : Experiences and Lessons Learnt. Sensors, 4-5. https://doi.org/10.3390/s16111884

Quiñones Cuenca, M., González Jaramillo, V., Torres, R., & Jumbo, M. (2017). Sistema De Monitoreo de Variables Medioambientales Usando Una Red de Sensores Inalámbricos y Plataformas De Internet De Las Cosas. Enfoque UTE, 329-343. Recuperado de http://ingenieria.ute.edu.ec/enfoqueute/

Raspberry Pi Foundation. (2016). Raspberry Pi Hardware - Raspberry Pi Documentation. Recuperado de https://www.raspberrypi.org/documentation/hardware/raspberrypi/README.md

Raspbian. (2019). Raspbian OS. Recuperado de www.raspbian.org

ThingsBoard. (2019). ThingsBoard IoT Open Source Plataform. Recuperado 1 de enero de 2019, de https://thingsboard.io/