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Neural network assessment of the effectiveness of using fulvic acids in combination with mineral fertilizers on the productivity and quality of Aficion leaf lettuce grown in vertical hydroponics

https://doi.org/10.32634/0869-8155-2025-397-08-104-114

Abstract

Growing demand for environmentally friendly plant products stimulates the development of closed-type urban city farms. As an innovative business model, they effectively use the limited space of megacities, providing direct access to the market. Plants are grown vertically on hydroponics with automatic environment control. To improve product quality and reduce dependence on mineral fertilizers, their partial replacement with humic stimulants was studied. An experiment was conducted with lettuce on Hoagland medium: control (water), 50% Hoagland, 100% Hoagland, and 50% Hoagland + fulvic acids (90 ppm). After completion, biomass and elemental composition were measured. The data were processed by the ChemNN neural network, which transforms the biochemical profile into the CSIelem index, indicating the optimal nutritional regime. The results of the experiment showed that the difference in biomass between 100% and 50% Hoagland was only 9%. The addition of fulvic acids to 50% Hoagland completely leveled this difference, increasing the biomass to the level of 100% Hoagland. Fulvic acids improved the absorption of macro- and microelements from the depleted environment, which was confirmed by the growth of CSIelem for these elements. At the same time, a decrease in the content of mesoelements (Ca, Mg, S) was observed. Fulvic acid additives allow reducing the share of mineral fertilizers (up to 50%) without losing yield and nutritional value. To optimize the absorption of mesoelements, additional application of calcium, magnesium and sulfur salts to the nutrient solution or through foliar feeding is recommended.

About the Authors

N. I. Vorobyov
All-Russian Research Institute of Agricultural Microbiology
Russian Federation

Nikolay Ivanovich Vorobyov, Candidate of Technical Sciences, Leading Researcher 

3 Podbelskogo Highway, Pushkin, Saint Petersburg, 196608



J. V. Puhalsky
The All-Russian Scientific Research Institute of Food Additives is a branch of the V.M. Gorbatov Federal Research Center for Food Systems of the Russian Academy of Sciences
Russian Federation

Jan Viktorovich Puhalsky, Research Associate 

55 Liteyny Ave., Saint Petersburg, 191014



S. I. Loskutov
The All-Russian Scientific Research Institute of Food Additives is a branch of the V.M. Gorbatov Federal Research Center for Food Systems of the Russian Academy of Sciences
Russian Federation

Svyatoslav Igorevich Loskutov, Candidate of Agricultural Sciences, Head of the Laboratory of Industrial Biotechnological Innovations 

55 Liteyny Ave., Saint Petersburg, 191014



A. V. Babyka
LLC "Farmorganik"
Russian Federation

Andrey Vasilyevich Babyka, General Manager 

60А Bogatyrsky Ave., buldging 3, apаrtment 42, Saint Petersburg, 197082



A. I. Yakubovskaya
Scientific Research Institute of Agriculture of Crimea
Russian Federation

Alla Ivanovna Yakubovskaya, Candidate of Biological Sciences, Leading Researcher, Head of the Department of Agricultural Microbiology 

150 Kievskaya Str., Simferopol, 295453



I. A. Kameneva
Scientific Research Institute of Agriculture of Crimea
Russian Federation

Irina Alekseevna Kameneva, Candidate of Agricultural Sciences, Leading Researcher, Head of the Laboratory of Physiology and Ecology of Microorganisms 

150 Kievskaya Str., Simferopol, 295453



A. I. Osipov
Agrophysical Research Institute
Russian Federation

Anatoly Ivanovich Osipov, Doctor of Agricultural Sciences, Professor, Chief Scientific Officer 

14 Grazhdansky Аve., Saint Petersburg, 195220



V. R. Turkovskaya
LLC "Farmorganik"
Russian Federation

Valeria Romanovna Turkovskaya, Research Engineer 

60А Bogatyrsky Ave., buldging 3, apаrtment 42, Saint Petersburg,197082



V. V. Kosmin
LLC “Organic farm Green Punch”
Russian Federation

Vladimir Viktorovich Kosmin, Research Engineer 

9 Valdayskaya Str., Saint Petersburg, 196624



M. P. Sakovich
LLC “Organic farm Green Punch”
Russian Federation

Mikhail Pavlovich Sakovich, General Manager 

9 Valdayskaya Str., Saint Petersburg, 196624



References

1. Godfray H.C.J. et al. Food Security: The Challenge of Feeding 9 Billion People. Science. 2010; 327(5967): 812–818. https://doi.org/10.1126/science.1185383

2. Zhiltsova M.S., Kuznetsova O.A., Kudinov B.B., Melnikov A.R. City farms as a promising direction for the development of “urban” business. Natural-Humanitarian Studies. 2024; (2): 113–119 (in Russian). https://www.elibrary.ru/oqpzpz

3. Dmitrieva A.S. Vertical farms are a new trend in agriculture. HronoEconomics. 2019; (6): 35–38 (in Russian). https://www.elibrary.ru/kkyhpd

4. Erokhin M.N., Skorokhodov D.M., Skorokhodova A.N., Anisimov A.A., Potemkin R.A. Analysis of using modern plant cultivation units in city farming and its development prospects. Agricultural Engineering. 2021; (3): 24–31 (in Russian). https://doi.org/10.26897/2687-1149-2021-3-24-31

5. Santos P.J.A., Ocampo E.T.M. SNAP hydroponics: Development & potential for urban vegetable production. Philippine Journal of Crop Science. 2005; 30(2): 3–11.

6. Sardare M.D., Admane S.V. A Review on Plant Without Soil — Hydroponics. International Journal of Research in Engineering and Technology. 2013; 2(3): 299–304. https://doi.org/10.15623/ijret.2013.0203013

7. Putra P.A., Yuliando H. Soilless Culture System to Support Water Use Efficiency and Product Quality: A Review. Agriculture and Agricultural Science Procedia. 2015; 3: 283–288. https://doi.org/10.1016/j.aaspro.2015.01.054

8. De Souza P.F. et al. Physiological differences of Crocantela lettuce cultivated in conventional and hydroponic systems. Horticultura Brasileira. 2019; 37(1): 101–105. https://doi.org/10.1590/S0102-053620190116

9. Kozlova A.V. Vertical farms are a new trend in agriculture. Youth and Science. 2021; (8): 18 (in Russian). https://www.elibrary.ru/mffxgz

10. Pinchuk E.V., Bespalko L.V., Kozar E.G., Balashova I.T., Sirota S.M., Shevchenko T.E. Valuable vegetable green on hydroponics for seasonal use. Vegetable crops of Russia. 2019; (3): 45–53 (in Russian). https://doi.org/10.18619/2072-9146-2019-3-45-53

11. Qadeer A. et al. Hydroponics as an innovative technique for lettuce production in greenhouse environment. Pure and Applied Biology. 2020; 9(1): 20–26. https://doi.org/10.19045/bspab.2020.90130

12. Lebedeva A.T. Salads. Moscow: MSP. 2004; 153 (in Russian). ISBN 5-7578-0203-0 https://www.elibrary.ru/qkvwhn

13. Sapkota S., Sapkota S., Liu Z. Effects of Nutrient Composition and Lettuce Cultivar on Crop Production in Hydroponic Culture. Horticulturae. 2019; 5(4): 72. https://doi.org/10.3390/horticulturae5040072

14. Sronsri C., Sittipol W., U-yen K. Quantity and quality of lettuce (Lactuca sativa L.) grown by a circulating hydroponic method with a Halbach array magnetizer. Journal of Food Composition and Analysis. 2022; 108: 104460. https://doi.org/10.1016/j.jfca.2022.104460

15. Soldatenko A.V. et al. Problems of lettuce production in open ground and peculiarities of his growing in conditions of smallmanufacture production (on the example of LLC “Vesely agronom” Dmitrovskiy district of Moscow region). Vegetable crops of Russia. 2018; (2): 55–60 (in Russian). https://doi.org/10.18619/2072-9146-2018-2-55-60

16. Ivanova M.I., Kashleva A.I., Alekseeva K.L., Davletbayeva O.R. Lattuce [sic!]: diversity of variants and cultivars. Potato and vegetables. 2017; (5): 22–24 (in Russian). https://www.elibrary.ru/yndazt

17. Ivanova M.I., Surikhina T.N. The size and growth trends of the leafy vegetable market. Potato and vegetables. 2024; (2): 20–25 (in Russian). https://doi.org/10.25630/PAV.2024.50.64.001

18. Starykh G.A., Khaustova N.A. Technology of growing lettuce on the example of ZAO «Agrokombinat “Moskovsky”». Herald of Russian State Agrarian Correspondence University. 2015; 18: 9–14 (in Russian). https://www.elibrary.ru/vdmahl

19. Oliva T.V., Manokhina L.A., Kuzmina E.A., Proskurina E.N. Lettuce of the variety Aficion in the greenhouse. Innovations in agricultural complex: problems and perspectives. 2019; (4): 235–244 (in Russian). https://www.elibrary.ru/ihlhwo

20. Solis E.S., Gabutan J.U. Hydroponic Lettuce (Lactuca sativa L. var. Lalique) Production Using Commercially Available Nutrient Solutions. International Journal of Agriculture and Environmental Research. 2023; 9(3): 330–341. https://doi.org/10.51193/IJAER.2023.9306

21. Barbosa G.L. et al. Comparison of Land, Water, and Energy Requirements of Lettuce Grown Using Hydroponic vs. Conventional Agricultural Methods. International Journal of Environmental Research and Public Health. 2015; 12(6): 6879–6891. https://doi.org/10.3390/ijerph120606879

22. Ahmed Z.F.R., Alnuaimi A.K.H., Askri A., Tzortzakis N. Evaluation of Lettuce (Lactuca sativa L.) Production under Hydroponic System: Nutrient Solution Derived from Fish Waste vs. Inorganic Nutrient Solution. Horticulturae. 2021; 7(9): 292. https://doi.org/10.3390/horticulturae7090292

23. Shahein M.M., Afifi M.M., Algharib A.M. Assessing the Effect of Humic Substances Extracted from Compost and Biogas Manure on Yield and Quality of Lettuce (Lactuca sativa L.). American-Eurasian Journal of Agricultural & Environmental Sciences. 2014; 14(10): 996–1009.

24. Guilayn F., Benbrahim M., Rouez M., Crest M., Patureau D., Jimenez J. Humic-like substances extracted from different digestates: First trials of lettuce biostimulation in hydroponic culture. Waste Management. 2020; 104: 239–245. https://doi.org/10.1016/j.wasman.2020.01.025

25. Skugoreva S.G., Ashikhmina T.Ya., Kantor G.Ya., Syrchina N.V. Influence of humic fertilizers on growth and biochemical parameters of lettuce plants. Butlerov Communications. 2020; 64(11): 108–115 (in Russian). https://doi.org/10.37952/ROI-jbc-01/20-64-11-108

26. Udalova O.R., Mirskaya G.V., Kononchuk P.Yu., Panova G.G. About the influence of solutions of fulvic acids from sapropel on lettuce plants in various types of its processing. Agrarian Bulletin of the Urals. 2021; (6): 22‒33 (in Russian). https://doi.org/10.32417/1997-4868-2021-209-06-22-33

27. Dolgikh P.P., Trepuz S.V., Popova N.M. Role of the spectral characteristics of radiating sources in the formation of lettuce yield in hydroponics cultivation. Agricultural Engineering (Moscow). 2023; 25(5): 62–67(in Russian). https://doi.org/10.26897/2687-1149-2023-5-62-67

28. Noh K., Jeong B.R. Optimizing Temperature and Photoperiod in a Home Cultivation System to Program Normal, Delayed, and Hastened Growth and Development Modes for Leafy Oak-Leaf and Romaine Lettuces. Sustainability. 2021; 13(19): 10879. https://doi.org/10.3390/su131910879

29. Loconsole D., Cocetta G., Santoro P., Ferrante A. Optimization of LED Lighting and Quality Evaluation of Romaine Lettuce Grown in An Innovative Indoor Cultivation System. Sustainability. 2019; 11(3): 841. https://doi.org/10.3390/su11030841

30. Senila M. Recent Advances in the Determination of Major and Trace Elements in Plants Using Inductively Coupled Plasma Optical Emission Spectrometry. Molecules. 2024; 29(13): 3169. https://doi.org/10.3390/molecules29133169

31. Schmidhuber J. Deep learning in neural networks: An overview. Neural Networks. 2015; 61: 85–117. https://doi.org/10.1016/j.neunet.2014.09.003

32. Pogodaev A.K., Khabibullina E.L., Inyutin D.M. Applying neural network models to the construction of production rules expert systems. Applied Mathematics and Control Sciences. 2021; (2): 73–92(in Russian). https://doi.org/10.15593/2499-9873/2021.2.05

33. Widrow B., Greenblatt A., Kim Y., Park D. The No-Prop algorithm: A new learning algorithm for multilayer neural networks. Neural Networks. 2013; 37: 182–188. https://doi.org/10.1016/j.neunet.2012.09.020

34. Sutrop U. List Task and a Cognitive Salience Index. Field Methods. 2001; 13(3): 263–276. https://doi.org/10.1177/1525822X0101300303

35. Mascarenhas W.F. Fast and accurate normalization of vectors and quaternions. Computational and Applied Mathematics. 2018; 37(4): 4649–4660. https://doi.org/10.1007/s40314-018-0594-6

36. Nikolić D., Mureşan R.C., Feng W., Singer W. Scaled correlation analysis: a better way to compute a cross-correlogram. European Journal of Neuroscience. 2012; 35(5): 742–762. https://doi.org/10.1111/j.1460-9568.2011.07987.x

37. Dyuk V.A., Flegontov A.V., Fomina I.C. Application of data mining technologies in the natural sciences, engineering and humanities. Izvestia: Herzen University Journal of Humanities & Sciences. 2011; 138: 77–84 (in Russian). https://www.elibrary.ru/ndnwej

38. Rose M.T., Patti A.F., Little K.R., Brown A.L., Jackson W.R., Cavagnaro T.R. A Meta-Analysis and Review of Plant-Growth Response to Humic Substances: Practical Implications for Agriculture. Advances in Agronomy. 2014; 124: 37–89. https://doi.org/10.1016/B978-0-12-800138-7.00002-4


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For citations:


Vorobyov N.I., Puhalsky J.V., Loskutov S.I., Babyka A.V., Yakubovskaya A.I., Kameneva I.A., Osipov A.I., Turkovskaya V.R., Kosmin V.V., Sakovich M.P. Neural network assessment of the effectiveness of using fulvic acids in combination with mineral fertilizers on the productivity and quality of Aficion leaf lettuce grown in vertical hydroponics. Agrarian science. 2025;(8):104-114. (In Russ.) https://doi.org/10.32634/0869-8155-2025-397-08-104-114

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