Design and Implementation of a Hydroponic System Using Monitoring Sensors for Lettuce Crop Data Control

International Journal of Electrical and Electronics Engineering |
© 2025 by SSRG - IJEEE Journal |
Volume 12 Issue 6 |
Year of Publication : 2025 |
Authors : Willyam Julio Miranda Machaca, Carlos Alejandro Leomar Collado Cisneros, William Vladimir Mullisaca Atamari, Mercedes Hermelinda Nuñez Zevallos, Yury Augusto Toro Flores, Enrique Damian Valderrama Chauca |
How to Cite?
Willyam Julio Miranda Machaca, Carlos Alejandro Leomar Collado Cisneros, William Vladimir Mullisaca Atamari, Mercedes Hermelinda Nuñez Zevallos, Yury Augusto Toro Flores, Enrique Damian Valderrama Chauca, "Design and Implementation of a Hydroponic System Using Monitoring Sensors for Lettuce Crop Data Control," SSRG International Journal of Electrical and Electronics Engineering, vol. 12, no. 6, pp. 64-78, 2025. Crossref, https://doi.org/10.14445/23488379/IJEEE-V12I6P106
Abstract:
This paper proposes implementing an automated hydroponic system that uses sensors for nutrient monitoring and control by measuring the electrical conductivity of the substrate. The system includes the control of a water oxygenation pump and pH and conductivity sensors connected to an ESP32 microcontroller. In addition, the monitoring system incorporates LoraWAN communication modules, which allow transmitting sensor data over distances exceeding 8 kilometres, which is ideal for applications in large agricultural environments. This device sends the collected data to a server in the cloud, where it is processed in an analysis layer. As a result, optimal control of seedling growth is achieved, in addition to obtaining a data set of different variables and finally identifying key variables that influence plant development.
Keywords:
IOT, Precision Farming, NFT System, Hydroponics, ESP32, Sensors, Lora Wan.
References:
[1] David Mateus Contreras et al., “Automation of a Hydroponic Growing,” Colombian Journal of Advanced Technologies, vol. 2, no. 38, pp. 54-59, 2021.
[CrossRef] [Google Scholar] [Publisher Link]
[2] Monica Dutta et al., “Evaluation of Growth Responses of Lettuce and Energy Efficiency of the Substrate and Smart Hydroponics Cropping System,” Sensors, vol. 23, no. 4, pp. 1-21, 2023.
[CrossRef] [Google Scholar] [Publisher Link]
[3] Luis Humberto Guerrero, and Giacomo Barbieri, “HydroLab: A Module for the Investigation of Fertigation Strategies in Hydroponics,” Applied Sciences, vol. 13, no. 15, pp. 1-15, 2023.
[CrossRef] [Google Scholar] [Publisher Link]
[4] Roberto S. Velazquez-Gonzalez et al., “A Review on Hydroponics and the Technologies Associated for Medium- and Small-Scale Operations,” Agriculture, vol. 12, no. 5, pp. 1-21, 2022.
[CrossRef] [Google Scholar] [Publisher Link]
[5] Booneua Wrintorn et al., “Automated Hydroponics Notification System Using IOT,” International Journal of Interactive Mobile Technologies, vol. 16, no. 6, pp. 206-220, 2022.
[CrossRef] [Google Scholar] [Publisher Link]
[6] Bedoya Restrepo Leonardo, and Suárez Velasco Santiago, “Publication: Automation of the NFT Hydroponic Technique in a Greenhouse, with Web Monitoring,” Bachelor Thesis, Pereira: Technological University of Pereira, 2020.
[Google Scholar] [Publisher Link]
[7] Irfan Ardiansah et al., “Greenhouse Monitoring and Automation Using Arduino: a Review on Precision Farming and Internet of Things (IoT),” International Journal on Advanced Science Engineering and Information Technology, vol. 10, no. 2, pp. 703-709, 2020.
[CrossRef] [Google Scholar] [Publisher Link]
[8] Ching-Ju Chen et al., “An AIoT Based Smart Agricultural System for Pests Detection,” IEEE Access, vol. 8, pp. 180750-180761, 2020.
[CrossRef] [Google Scholar] [Publisher Link]
[9] Meirong Zhu, and Jie Shang, “Remote Monitoring and Management System of Intelligent Agriculture under the Internet of Things and Deep Learning,” Wireless Communications and Mobile Computing, vol. 2022, no. 1, pp. 1-13, 2022.
[CrossRef] [Google Scholar] [Publisher Link]
[10] D. Hostalrich et al., “Intelligent Management of Hydroponic Systems Based on IoT for Agrifood Processes,” Journal of Sensors, vol. 2022, no. 1, pp. 1-11, 2022.
[CrossRef] [Google Scholar] [Publisher Link]
[11] Juan Agüera Vega, and Manuel Pérez Ruiz, “Precision Agriculture: Towards the Integration of Spatial Data in Agricultural Production,” Ambienta: The Magazine of the Ministry of the Environment, no. 105, pp. 16-27, 2013.
[Google Scholar] [Publisher Link]
[12] Juan Abel Jinde, “Smart Microgarden Applied to Hydroponic Lettuce Cultivation,” Degree Thesis, Technical University of Ambato, 2022.
[Google Scholar]
[13] Mahrokh Farvardin et al., “Assessing the Physical and Environmental Aspects of Greenhouse Cultivation: A Comprehensive Review of Conventional and Hydroponic Methods,” Sustainability, vol. 16, no. 3, pp. 1-34, 2024.
[CrossRef] [Google Scholar] [Publisher Link]
[14] Diego S. Domingues et al., “Automated System Developed to Control pH and Concentration of Nutrient Solution Evaluated in Hydroponic Lettuce Production,” Computers and Electronics in Agriculture, vol. 84, pp. 53-61, 2012.
[CrossRef] [Google Scholar] [Publisher Link]
[15] José Beltrano, and Daniel Oscar Giménez, Hydroponic Cultivation, National University of La Plata Publishing House (EDULP), 2015.
[CrossRef] [Google Scholar] [Publisher Link]
[16] Pachón Camelo, and Johana Marcela, “Production and Marketing of Hydroponic Lettuce (Lactuca sativa L.), as an Economic Alternative for Small Producers in Viotá, Cundinamarca,” Bachelor Thesis, Unisalle Science, 2020.
[Google Scholar] [Publisher Link]
[17] Joko Slamet Saputro, Ulinnuha Latifa, and Agus Ramelan, “Design of Nutrition Automation on Lactuca Sativa NFT Hydroponic Systems,” Journal of Electrical, Electronic, Information, and Communication Technology, vol. 2, no. 1, pp. 14-17, 2020.
[CrossRef] [Google Scholar] [Publisher Link]
[18] Suharjo, and Suaib, “Growth Analysis of Lettuce (Lactuca sativa L.) Using Nutrient Film Technique (NFT) in Hydroponic Systems,” Pertanika Journal of Tropical Agricultural Science, vol. 45, no. 3, pp. 805-813, 2022.
[CrossRef] [Google Scholar] [Publisher Link]
[19] Inca Sanchez, and Saúl Adrián, “Publication: Automation and Control of the NFT System for Hydroponic Crops,” Bachelor Thesis, Ricardo Palma University-URP, pp. 8-22, 2013.
[Google Scholar] [Publisher Link]
[20] Esteban Gesto et al., “Advances in the Development of a Monitoring and Control System for a Hydroponic Crop Production Module for High-Latitude Regions,” 49th Argentine Conference on Informatics and Operations Research (JAIIO), pp. 69-82, 2020.
[Google Scholar] [Publisher Link]
[21] Jose L. Castañares, “Tipburn in Hydroponic Leafy Vegetables: Possible Causes and Control,” RIA. Journal of Agricultural Research, vol. 48, no. 1, pp. 3-9, 2022.
[Google Scholar]
[22] Daniel Alejandro Figueroa Arias, and Camilo Andres Arevalo Arias, “Design, Construction, and Automation of a Closed Device for Organic Farming at Home,” Pilot University of Colombia, 2018.
[Google Scholar]
[23] Hardeep Singh, and Dunn Bruce, “Electrical Conductivity and pH Guide for Hydroponics,” Oklahoma Cooperative Extension Service, 2016.
[Google Scholar] [Publisher Link]
[24] Rodolfo de la Rosa-Rodríguez et al., “Nutrient Solution Drainage Ratio on Yield and Quality of Tomato in Hydroponics,” Mexican Journal of Agricultural Sciences, no. 20, 2018.
[CrossRef] [Google Scholar] [Publisher Link]
[25] M. Cebada-Merino et al., “Efficient System for Lettuce Production (Lactuca sativa L.),” Agro Productividad, vol. 9, no. 6, pp. 56-61, 2016.
[Google Scholar] [Publisher Link]
[26] Darko Hercog et al., “Design and Implementation of ESP32-based IoT Devices,” Sensors, vol. 23, no. 15, pp. 1-20, 2023.
[CrossRef] [Google Scholar] [Publisher Link]
[27] Heinert Julio Carranza Santos, “Design and Implementation of an IoT System for Early Disease Detection in Potato Crops Using Image Processing,” dspace, espoch, 2024.
[Google Scholar]
[28] Amy Lizbeth Jose Rico, “Automated pH Monitoring and Controlling System for Hydroponics under Greenhouse Condition,” Journal of Engineering and Applied Sciences, vol. 15, no. 2, pp. 523-528, 2020.
[Google Scholar] [Publisher Link]
[29] Yuda Irawan et al., “View of Water Quality Measurement and Filtering Tools Using Arduino Uno, PH Sensor and TDS Meter Sensor,” Journal of Robotics and Control, vol. 2, no. 5, pp. 357-362, 2021.
[CrossRef] [Google Scholar] [Publisher Link]