Ingenierías USBMed
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Jaramillo Giraldo, E., López Rendón, D. F., & Garzón González, J. M. (2024). Remote monitoring of temperature, humidity and light radiation for greenhouse aeroponic cultivation. Ingenierías USBmed, 15(2), 19–25. https://doi.org/10.21500/20275846.6334
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Abstract

This article presents the development and implementation of a remote monitoring system for aeroponic crops, where its main focus is the measurement of environmental variables (temperature, humidity and light radiation) for subsequent visualization on a web platform. The measurement of the mentioned variables is carried out given the importance they have when cultivating in closed environments, where greenhouse conditions will influence plant growth. For the realization of the system, the use of the Internet of Things (IoT) and web applications is proposed. With the increasing use of IoT and the little technological development in the agricultural sector, it seeks to help producers in the care of their crops, implementing a system that allows monitoring their conditions, to take preventive measures and generate greater benefits and yield. in their productive activity. New technologies help to develop projects for the agricultural sector, facilitating arduous and resource-intensive processes. From this approach, the developed application helps to obtain measurements in real time, giving easy access from devices with a web connection, in addition to allowing the producer to make decisions in this regard.

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References

[1] B. Castillo, J. Ruiz, M. Manrique, and C. Pozo, “Contamination by agricultural pesticides in crop fields in Cañete,” Rev. Espac., vol. 41, no. 10, p. 11, 2020.
[2] B. Pradhan and B. Deo, “Soilless farming - The next generation green revolution,” Curr. Sci., vol. 116, no. 5, pp. 728–732, 2019, doi: 10.18520/cs/v116/i5/728-732.
[3] I. A. Lakhiar et al., “Overview of the aeroponic agriculture – An emerging technology for global food security,” Int. J. Agric. Biol. Eng., vol. 13, no. 1, pp. 1–10, 2020, doi: 10.25165/j.ijabe.20201301.5156.
[4] M. Pala, L. Mizenko, M. Mach, and T. Reed, “Aeroponic greenhouse as an autonomous system using intelligent space for agriculture robotics,” Adv. Intell. Syst. Comput., vol. 274, pp. 83–93, 2014, doi: 10.1007/978-3-319-05582-4_7/COVER.
[5] J. D. Ríos, J. E. Candelo-Becerra, and F. E. Hoyos, “Growing arugula plants using aeroponic culture with an automated irrigation system,” Int. J. Agric. Biol. Eng., vol. 13, no. 3, pp. 52–56, 2020, doi: 10.25165/j.ijabe.20201303.5194.
[6] S. Rodríguez, T. Gualotuña, and C. Grilo, “A System for the Monitoring and Predicting of Data in Precision Agriculture in a Rose Greenhouse Based on Wireless Sensor Networks,” Procedia Comput. Sci., vol. 121, pp. 306–313, 2017, doi: 10.1016/j.procs.2017.11.042.
[7] I. A. Lakhiar, G. Jianmin, T. N. Syed, F. A. Chandio, N. A. Buttar, and W. A. Qureshi, “Monitoring and control systems in agriculture using intelligent sensor techniques: A review of the aeroponic system,” J. Sensors, vol. 2018, 2018, doi: 10.1155/2018/8672769.
[8] O. Quiñonez, [PDF] Internet de las Cosas (IoT) by Oswaldo Quiñonez Muñoz eBook | Perlego, 1st ed. 2019. Accessed: Feb. 15, 2023. [Online]. Available: https://www.perlego.com/book/2913651/internet-de-las-cosas-iot-pdf
[9] F. Rahman, I. J. Ritun, M. R. Ahmed Biplob, N. Farhin, and J. Uddin, “Automated Aeroponics System for Indoor Farming using Arduino,” in 2018 Joint 7th International Conference on Informatics, Electronics & Vision (ICIEV) and 2018 2nd International Conference on Imaging, Vision & Pattern Recognition (icIVPR), Jun. 2018, pp. 137–141. doi: 10.1109/ICIEV.2018.8641026.
[10] P. B. N. Bolivar et al., “IoT - Based Aeroponic System for Seasonal Plants using Fuzzy Logic,” IEEE Reg. 10 Annu. Int. Conf. Proceedings/TENCON, vol. 2022-Novem, 2022, doi: 10.1109/TENCON55691.2022.9977457.
[11] Riswandi, M. Niswar, Z. Tahir, Zainal, and C. Y. Wey, “Design and Implementation of IoT-Based Aeroponic Farming System,” Proc. - 2022 IEEE Int. Conf. Cybern. Comput. Intell. Cybern. 2022, pp. 308–311, 2022, doi: 10.1109/CYBERNETICSCOM55287.2022.9865284.

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