Development and Testing of an Automated Solar-Powered Nutrient Film Technique (NFT) Hydroponic Planting System
- Authors
-
-
Ibrahim M. GANA
Department of Agricultural and Bio-Environmental Engineering, Federal Polytechnic, Bida, Nigeria
Author
-
Abdullahi YUSUF
Department of Agricultural and Bio-Environmental Engineering, Federal Polytechnic, Bida, Nigeria
Author
-
Agidi GBABO
Department of Agricultural & Bioresources Engineering, Federal University of Technology, Minna, Nigeria
Author
-
Micheal EPHRAIM
Aeronautics and Area Vehicle Development Institute (AAVDI), Kaduna, Nigeria
Author
-
Abubakar M. HASSAN
Department of Agricultural and Bio-Environmental Engineering, Federal Polytechnic, Bida, Nigeria
Author
-
- Keywords:
- Solar-powered hydroponics, NFT system, automated agriculture, IoT monitoring, sustainable farming.
- Abstract
-
This paper presents an automated solar-powered Nutrient Film Technique (NFT) hydroponic system designed to address the major challenges of global food security and sustainable agriculture. With the global population projected to reach 9.3 billion by 2050, conventional agriculture is unlikely to meet the pressure - land, water, and energy are all in short supply and at a premium. The system proposed here is an intelligent integration of renewable solar energy and IoT-based automation with the objective of extracting maximum benefit from the available resources while providing better crop yields. There are three primary subsystems: an 80W solar power system with an MPPT charge controller and 12V batteries, an NFT hydroponic system constructed with 3″ PVC channels and a 12V DC nutrient pump, and an automation system created using an Arduino Nano microcontroller, an ESP8266 Wi-Fi module, NPK, and water level sensors. The system harvests data, uploads it to the Thingspeak IoT platform for real-time telemetry, command, and control services. In the field, performance trials showed that the system performed well, maintaining target nutrient levels (nitrogen: 100-130 ppm, phosphorus: 34-37 ppm, potassium: 168-173 ppm) while slashing water consumption by a whopping 90 percent compared with the existing technique. The use of solar energy and independence from the power grid, along with automatic management, avoided manual handling, resulting in accurate environmental conditions. The resultant watering and environmental changes were done as scheduled, ensuring the maintenance of stable plant health. Overall, this study provides a practical and energy-saving approach for urban agriculture, especially for those land-limited and uneven-power-supplied regions. There is plenty of room for further research and development, AI optimization, new types of energy storage, and full-blown cost estimates could help scalability.
- References
- Downloads
- Published
- 08-08-2025
- Section
- Articles
- License
-
Copyright (c) 2025 FUDMA Journal of Engineering and Technology

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
How to Cite
Similar Articles
- Oluwaseun S. OGUNGBEMI, Geophysical Approach to Groundwater Resource Appraisal in Afe Babalola University, Ado-Ekiti, Southwestern Nigeria , FUDMA Journal of Engineering and Technology: Vol. 1 No. 2 (2025): December 2025
- Oluwayinka. G. AKINWAMIDE, Olugbenga O. AMU, Christopher FAPOHUNDA, Prediction of International Roughness Index of Flexible Pavement Using Machine Learning-Based Predictive Framework in Ekiti State , FUDMA Journal of Engineering and Technology: Vol. 2 No. 1 (2026): June 2026
- Mutiat S. YISA, Cross-Regional Energy Strategies: Evaluating Japan’s Power Blueprint for Nigeria’s Needs , FUDMA Journal of Engineering and Technology: Vol. 1 No. 2 (2025): December 2025
- Samuel E. CHUKWU, Martins Y. OTACHE, Precious O. ATEMOAGBO, Emmanuel O. AGBESE, Copula-Based Modelling of Drought Severity-Duration-Frequency Relationship of Sokoto-Rima-River Basin, Nigeria , FUDMA Journal of Engineering and Technology: Vol. 1 No. 2 (2025): December 2025
- Joshua T. AKINWAMIDE, Jacob O. EHIOROBO, Oluwayinka G. AKINWAMIDE, Geotechnical Evaluation of Lateritic Soil Index Properties in Ekiti State Districts, Southwestern Nigeria for Road Pavement Construction , FUDMA Journal of Engineering and Technology: Vol. 2 No. 1 (2026): June 2026
- Muhammed A. ADAWUDI, Danlami MALIKI, Ibrahim M. ABDULLAHI, Electric Fish Optimizer-Based Hyperparameter Tuning of MLP for Fault Diagnosis in Grid-Connected Photovoltaic Systems , FUDMA Journal of Engineering and Technology: Vol. 2 No. 1 (2026): June 2026
- Abba M. BALA, Abdurrauf G. SHARIFAI, Umar S. HARUNA, A Hybrid Deep Learning Model for Efficient Anomaly Detection in Video Surveillance Systems , FUDMA Journal of Engineering and Technology: Vol. 2 No. 1 (2026): June 2026
You may also start an advanced similarity search for this article.
