Modelling of phosphorus accumulation in an aeroponic coriander crop

Authors

  • Alejandro Rincón Santamaría 1. Grupo de Investigación en Desarrollos Tecnológicos y Ambientales–GIDTA, Facultad de Ingeniería y Arquitectura, Universidad Católica de Manizales, 170002 Manizales, Colombia; 2. Grupo de Investigación en Microbiología y Biotecnología Agroindustrial—GIMIBAG, Instituto de Investigación en Microbiología y Biotecnología Agroindustrial, Facultad de Ciencias de la Salud, Universidad Católica de Manizales, 170002 Manizales, Colombia
  • John E. Candelo-Becerra Department of Electrical Energy and Automation, Faculty of Mines, Universidad Nacional de Colombia, Sede Medellín, Medellín 050041, Antioquia, Colombia
  • Fredy E. Hoyos Velasco Department of Electrical Energy and Automation, Faculty of Mines, Universidad Nacional de Colombia, Sede Medellín, Medellín 050041, Antioquia, Colombia

Keywords:

aeroponic culture, hydroponics, soilless culture, nutrient modelling, Coriander sativum

Abstract

A model was developed for phosphorus (P) concentration over time in a closed aeroponic coriander culture. In addition, the setting and starting up of the soilless culture is described, and the measurements of electrical conductivity (EC), pH and concentration of major ions in the mixing tank are provided. By using mass balance principles, the dynamics of the nutrient concentration in the mixing tank and in the drainage solution are stated. Two series of continuous stirred tank reactors are considered for the flow structure, using a power law relationship to represent the rate of nutrient removal, considering water volume changes. Phosphorus concentration measurements were used for model fitting, and the resulting simulation is in good agreement with data. Keywords: aeroponic culture, hydroponics, soilless culture, nutrient modelling, Coriander sativum DOI: 10.25165/j.ijabe.20221506.6760 Citation: Rincón A, Candelo-Becerra J E, Hoyos F E. Modelling of phosphorus accumulation in an aeroponic coriander crop. Int J Agric & Biol Eng, 2022; 15(6): 73–79.

Author Biographies

Alejandro Rincón Santamaría, 1. Grupo de Investigación en Desarrollos Tecnológicos y Ambientales–GIDTA, Facultad de Ingeniería y Arquitectura, Universidad Católica de Manizales, 170002 Manizales, Colombia; 2. Grupo de Investigación en Microbiología y Biotecnología Agroindustrial—GIMIBAG, Instituto de Investigación en Microbiología y Biotecnología Agroindustrial, Facultad de Ciencias de la Salud, Universidad Católica de Manizales, 170002 Manizales, Colombia

Alejandro Rincón Santamaría: received the B.S. degree in Chemical Engineering, the M.S. degree in Engineering-Industrial Automation, and the Ph.D. degree in Engineering-Automation, from Universidad Nacional de Colombia at Manizales, Colombia, in 2006, 2007 and 2010, respectively. He is an associate professor with the Faculty of Engineering and Architecture, Universidad Católica de Manizales, Colombia. His research interests include: adaptive control design, robust control design, and bifurcation analysis. http://orcid.org/0000-0002-7381-0560

John E. Candelo-Becerra, Department of Electrical Energy and Automation, Faculty of Mines, Universidad Nacional de Colombia, Sede Medellín, Medellín 050041, Antioquia, Colombia

John E. Candelo-Becerra: received his Bs. degree in Electrical Engineering in 2002 and his PhD in Engineering with emphasis in Electrical Engineering in 2009 from Universidad del Valle, Cali - Colombia. His employment experiences include the Empresa de Energía del Pacífico EPSA, Universidad del Norte, and Universidad Nacional de Colombia - Sede Medellín. He is now an Assistant Professor of the Universidad Nacional de Colombia - Sede Medellín, Colombia. His research interests include: engineering education; planning, operation and control of power systems; artificial intelligence; and smart grids. He is a Senior Researcher in Colciencias and member of the Applied Technologies Research Group - GITA, at the Universidad Nacional de Colombia. https://orcid.org/0000-0002-9784-9494.

Fredy E. Hoyos Velasco, Department of Electrical Energy and Automation, Faculty of Mines, Universidad Nacional de Colombia, Sede Medellín, Medellín 050041, Antioquia, Colombia

Fredy Edimer Hoyos: received his BS and MS degree from the National University of Colombia, at Manizales, Colombia, in Electrical Engineering and Industrial Automation, in 2006 and 2009, respectively, and an Industrial Automation Ph.D. in 2012. Dr. Hoyos is currently an Associate Professor of the Science Faculty, School of Physics, at National University of Colombia, at Medellin, Colombia. His research interests include nonlinear control, system modeling, nonlinear dynamics analysis, control of nonsmooth systems, and power electronics, with applications extending to a broad area of technological processes. Dr. Hoyos is an Associate Researcher in Colciencias and member of the Applied Technologies Research Group (GITA) at the Universidad Nacional de Colombia. https://orcid.org/0000-0001-8766-5192

References

[1] Odegard I Y R, van der Voet E. The future of food — Scenarios and the effect on natural resource use in agriculture in 2050. Ecological Economics, 2014; 97: 51–59.
[2] Runia W T. A review of possibilities for disinfection of recirculation water from soilless culture. Acta horticulturae, 1995; 382: 221–229.
[3] Hoyos Velasco F, Candelo J E, Chavarria H J. Automatización de cultivos aeropónicos de cilantro libres de pesticidas. INGE CUC, 2019; 15(1): 123–132.
[4] Varlagas H, Savvas D, Mouzakis G, Liotsos C, Karapanos I, Sigrimis N. Modelling uptake of Na+ and Cl− by tomato in closed-cycle cultivation systems as influenced by irrigation water salinity. Agricultural Water Management, 2010; 97(9): 1242–1250.
[5] Carmassi G, Incrocci L, Maggini R, Malorgio F, Tognoni F, Pardossi A. An aggregated model for water requirements of greenhouse tomato grown in closed rockwool culture with saline water. Agricultural Water Management, 2007; 88(1-3): 73–82.
[6] Massa D, Incrocci L, Maggini R, Bibbiani C, Carmassi G, Malorgio F, et al. Simulation of crop water and mineral relations in greenhouse soilless culture. Environmental Modelling & Software, 2011; 26(6): 711–722.
[7] Domingues D S, Takahashi H W, Camara C A P, Nixdorf S. Automated system developed to control pH and concentration of nutrient solution evaluated in hydroponic lettuce production. Computers and Electronics in Agriculture, vol. 2012; 84: 53–61.
[8] Pala M, Mizenko L, Mach M, Reed T. Aeroponic greenhouse as an autonomous system using intelligent space for agriculture robotics. Robot Intelligence Technology and Applications 2, 2014; pp.83–93. doi: 10.1007/978-3-319-05582-4_7.
[9] Palande V, Zaheer A, George K. Fully automated hydroponic system for indoor plant growth. Procedia Computer Science, 2018; 129: 482–488,
[10] Steidle Neto A J, Zolnier S, de Carvalho Lopes D. Development and evaluation of an automated system for fertigation control in soilless tomato production. Computers and Electronics in Agriculture, 2014; 103: 17–25.
[11] Carmassi G, Incrocci L, Maggini R, Malorgio F, Tognoni F, Pardossi A. Modeling salinity build-up in recirculating nutrient solution culture. Journal of Plant Nutrition, 2005; 28(3): 431–445.
[12] Silberbush M, Ben-Asher J. Simulation study of nutrient uptake by plants from soilless cultures as affected by salinity buildup and transpiration. Plant and Soil, 2001; 233(1): 59–69.
[13] Yang T, Kim H-J. Comparisons of nitrogen and phosphorus mass balance for tomato-, basil-, and lettuce-based aquaponic and hydroponic systems. Journal of Cleaner Production, 2020; 274: 122619. doi: 10.1016/j.jclepro.2020.122619.
[14] Keesman K J, Körner O, Wagner K, Urban J, Karimanzira D, Rauschenbach T, et al. Aquaponics systems modelling. in Aquaponics Food Production Systems. Springer, 2019; pp. 267–299. doi: 10.1007/978-3-030-15943-6_11.
[15] Björkman M, et al. Phytochemicals of Brassicaceae in plant protection and human health--influences of climate, environment and agronomic practice. Phytochemistry, 2011; 72(7): 538–56.
[16] Dekker M, Verkerk R. Dealing with variability in food production chains: A tool to enhance the sensitivity of epidemiological studies on phytochemicals. European Journal of Nutrition, 2003; 42(1): 67–72.
[17] Hayes J D, Kelleher M O, Eggleston I M. The cancer chemopreventive actions of phytochemicals derived from glucosinolates. European Journal of Nutrition, 2008; 47(SUPPL. 2): 73–88.
[18] Kumar S, Jawaid T, Dubey S. Therapeutic Plants of Ayurveda; A Review on Anticancer. Pharmacognosy Journal, 2011; 3(23): 1–11.
[19] Ríos Salazar J D, Candelo-Becerra J E, Hoyos Velasco F E. Growing arugula plants using aeroponic culture with an automated irrigation system. Int J Agric & Biol Eng, 2020; 13(3): 52–56.
[20] Rababah A A, Ashbolt N J. Innovative production treatment hydroponic farm for primary municipal sewage utilization. Water Research, 2000; 34(3): 825–834.
[21] Savvas D, Meletiou G, Margariti S, Tsirogiannis I, Kotsiras A. Modeling the relationship between water uptake by cucumber and NaCl accumulation in a closed hydroponic system. HortScience, 2005; 40(3): 802–807.
[22] Hoagland D R, Arnon D I. The water-culture method for growing plants without soil. Circular. California Agricultural Experiment Station, 1950; 347. 2nd edit.
[23] Taiz L, Zeiger E. Plant physiology. Fifth Edition. Sinauer Associates, Inc., 2010. Available: https://www.amazon.com/-/es/Lincoln-Taiz/ dp/0878938664. Accessed at [2020-12-10].
[24] ICONTEC. NTC 5596-2008. Soil quality. Determination of electrical conductivity, 2008.
[25] ICONTEC. NTC 3651-2012. Water quality. Determination of pH. 2012.
[26] ICONTEC. NTC 4124-1997. Environmental management. Water quality. Determination of sodium and potassium. Determination of sodium by atomic absorption spectrometry, 1997.
[27] ICONTEC. NTC 5349-2016. Soil quality: Determination of exchangeable bases. Method of extraction using ammonium acetate 1N and pH 7, 2016.
[28] Soil and Plant Analysis Council Inc. Soil analysis handbook of reference methods. CRC-Press, 2000.
[29] Motulsky H, Christopoulos A. Fitting models to biological data using linear and nonlinear regression: A practical guide to curve fitting contents at a glance. San Diego, CA, USA: GraphPad Software Inc., 2003.
[30] Mayo A W, Muraza M, Norbert J. Modelling nitrogen transformation and removal in mara river basin wetlands upstream of lake Victoria. Physics and Chemistry of the Earth, Parts A/B/C, 2018; 105: 136–146.
[31] Savvas D, Chatzieustratiou E, Pervolaraki G, Gizas G, Sigrimis N. Modelling Na and Cl concentrations in the recycling nutrient solution of a closed-cycle pepper cultivation. Biosystems Engineering, 2008; 99(2): 282–291.
[32] NASA Spinoff. Progressive plant growing has business blooming. Environmental and Agricultural Resources, 2006. https://spinoff.nasa.gov/Spinoff2006/er_2.html.

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Published

2022-12-27

How to Cite

Santamaría, A. R., Candelo-Becerra, J. E., & Velasco, F. E. H. (2022). Modelling of phosphorus accumulation in an aeroponic coriander crop. International Journal of Agricultural and Biological Engineering, 15(6), 73–79. Retrieved from https://ijabe.migration.pkpps03.publicknowledgeproject.org/index.php/ijabe/article/view/6760

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Section

Animal, Plant and Facility Systems