Е-Публикации
Технически университет - София

Abstract: In recent years, hydroponics is considered as an emerging farming technique and is popular in urban areas due to its minimal water use and ability to grow plants without soil. In the Nutrient Film Technique (NFT) based hydroponics system, plants are cultivated by using water content nutrient solutions. Integration of Internet of Things (IoT) technology to NFT based hydroponic systems, many advancements such as minimizing water usage, real-time plant growth monitoring, efficient nutrient diffusion and reduction in human efforts can be achieved. In this work, an IoT based smart hydroponics system using NFT is proposed. Key components of the proposed solution include sensor networks for data acquisition, a robust Machine Learning (ML) framework for data analysis and prediction, as well as actuators for automated control of environmental conditions. The system monitors different real-time environmental parameters and the status of the plant’s growth and controls the nutritional value of water in an automated and cost-effective way. A Support Vector Machine (SVM) algorithm is used to predict the pH values with an accuracy of 89.6%, surpassing the Decision Tree (DT) and Random Forest Regression methods.

References

1. National Academies of Sciences, Engineering, and Medicine, The Challenge of Feeding the World Sustainably: Summary of the US-UK Scientific Forum on Sustainable Agriculture. Washington, DC: The National Academies Press, 2021.
2. National Academies of Sciences, Engineering, and Medicine, Science Breakthroughs to Advance Food and Agricultural Research by 2030. Washington, DC: The National Academies Press, 2019.
3. B. Brower-Toland et al., “A crucial role for technology in sustainable agriculture,” ACS Agricultural Science & Technology, vol. 4, no. 3, pp. 283–291, 2024.
4. N. Shanmugasundaram, G. S. Kumar, S. Sankaralingam, S. Vishal, and N. Kamaleswaran, “Smart agriculture using modern technologies,” in 9th International Conference on Advanced Computing and Communication Systems (ICACCS), (Coimbatore, India), pp. 2025–2030, 2023.
5. M. Dhanaraju, P. Chenniappan, K. Ramalingam, S. Pazhanivelan, and R. Kaliaperumal, “Smart farming: Internet of things (iot)-based sustainable agriculture,” Agriculture, vol. 12, p. 1745, 2022.
6. A. Raj, V. Sharma, S. Rani, A. K. Shanu, A. Alkhayyat, and R. D. Singh, “Modern farming using iot-enabled sensors for the improvement of crop selection,” in 4th International Conference on Intelligent Engineering and Management (ICIEM), (London, UK), pp. 1–7, 2023.
7. C. I. Gan, R. Soukoutou, and D. M. Conroy, “Sustainability framing of controlled environment agriculture and consumer perceptions: a review,” Sustainability, vol. 15, p. 304, 2023.
8. A. Dsouza, L. Newman, T. Graham, and E. D. G. Fraser, “Exploring the landscape of controlled environment agriculture research: a systematic scoping review of trends and topics,” Agricultural Systems, vol. 209, p. 103673, 2023.
9. A. L. Garcia, M. A. C. Griffith, G. P. Buss, X. S. Yang, J. L. Griffis, S. Bauer, and A. K. Singh, “Controlled environment agriculture and its ability to mitigate food insecurity,” Agricultural Sciences, vol. 14, pp. 298–315, 2023.
10. A. Banerjee, K. Paul, A. Varshney, R. Nandru, R. Badhwar, A. Sapre, and S. Dasgupta, “Soilless indoor smart agriculture as an emerging enabler technology for food and nutrition security amidst climate change,” in Plant Nutrition and Food Security in the Era of Climate Change, pp. 179–225, Academic Press, 2022.
11. G. Rajaseger, K. L. Chan, K. Y. Tan, S. Ramasamy, M. C. Khin, A. Amaladoss, and P. K. Haribhai, “Hydroponics: current trends in sustainable crop production,” Bioinformation, vol. 19, no. 9, pp. 925–938, 2023.
12. E. A. van Os, T. H. Gieling, and J. H. Lieth, “Technical equipment in soilless production systems,” in Soilless Culture (Second Edition) (M. Raviv, J. H. Lieth, and A. Bar-Tal, eds.), pp. 587–635, Elsevier, 2019.
13. G. Niu and J. Masabni, “Hydroponics,” in Plant Factory Basics, Applications and Advances (T. Kozai, G. Niu, and J. Masabni, eds.), pp. 153–166, Academic Press, 2022.
14. J. E. Son, H. J. Kim, and T. I. Ahn, “Hydroponic systems,” in Plant Factory (Second Edition) (T. Kozai, G. Niu, and M. Takagaki, eds.), pp. 273–283, Academic Press, 2020.
15. E. Navarro, N. Costa, and A. Pereira, “A systematic review of iot solutions for smart farming,” Sensors, vol. 20, p. 4231, 2020.
16. NASA, “Technology transfer (t2) program, next-level farming,” 2024. Available at: https://spinoff.nasa.gov/Next-Level_Farming (accessed 9 January 2025).
17. V. Palande, A. Zaheer, and K. George, “Fully automated hydroponic system for indoor plant growth,” Procedia Computer Science, vol. 129, pp. 482–488, 2018.
18. A. Nursyahid, H. Helmy, A. Karimah, and T. Setiawan, “Nutrient film technique (nft) hydroponic nutrition controlling system using linear regression method,” in IOP Conference Series: Materials Science and Engineering, vol. 1108, p. 012033, 2021.
19. A. Johnson, E. Meyerson, J. de la Parra, T. Savas, R. Miikkulainen, and C. Harper, “Flavor-cyber-agriculture: optimization of plant metabolites in an open-source control environment through surrogate modeling,” PLoS ONE, vol. 14, no. 4, p. e0213918, 2019.
20. S. Patil, L. Mathews, A. G, S. Motgi, and U. Sinha, “Ai-driven hydroponic systems for lemon basil,” in International Conference on Network, Multimedia and Information Technology (NMITCON), pp. 1–6, 2023.

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