The impact of greenhouse integrated photovoltaics on Aloe vera cultivation

Authors

  • Angeliki KAVGA Department of Agriculture, University of Patras, EL26504 (GR)
  • Vasileios THOMOPOULOS Department of Computer Engineering and Informatics, University of Patras, EL26504 (GR)
  • Sylvia MANGANI Biochemical Analysis & Matrix Pathobiology Research Group, Laboratory of Biochemistry, Department of Chemistry, University of Patras, EL26504 (GR)
  • Spyros KREMMYDAS Biochemical Analysis & Matrix Pathobiology Research Group, Laboratory of Biochemistry, Department of Chemistry, University of Patras, EL26504 (GR)
  • Theodoros PETRAKIS Department of Agriculture, University of Patras, EL26504 (GR)

DOI:

https://doi.org/10.15835/nbha52414168

Keywords:

GIPVs;, microclimate control, robotic system, shading, smart agriculture, smart greenhouse

Abstract

In recent years, the global demand for medicinal plants has been rising steadily. This study focuses on cultivating Aloe vera within a large-scale, pilot smart greenhouse installed at the University of Patras, Greece. The integration of advanced Internet of Things (IoT) technologies, sensors, and the KYTION cablebot robotic device plays a crucial role in monitoring the cultivation process and deriving valuable insights. The greenhouse structure presented in this study not only recognizes these challenges but actively addresses them through state-of-the-art IoT technology-based measurements. Preliminary quantitative results indicate that cultivating A. vera in greenhouses significantly enhances blooming and production compared to open-field cultivation. This promising approach addresses the growing demand for A. vera specifically and medicinal plants in general. Additionally, it maximizes the use of available arable land, labor, water, and energy, ensuring stable production under unstable and variable climatic conditions. The study aims to control and automate the microclimate, optimizing conditions for A. vera growth within a controlled digital environment. By offering insights into the intersection of smart agricultural practices, technology-driven measurement and automation, and ad-hoc crop-specific cultivation strategies, this research provides a promising pathway for sustainably enhancing A. vera cultivation in controlled environments.

References

Ainsworth E, Gillespie K (2007). Estimation of total phenolic content and other oxidation substrates in plant tissues using Folin–Ciocalteu reagent. Nature Protocols 2:875-877. https://doi.org/10.1038/nprot.2007.102

Aslan MF, Durdu A, Sabanci K, Ropelewska E, Gültekin SS (2022). A comprehensive survey of the recent studies with UAV for precision agriculture in open fields and greenhouses. Applied Sciences 12:1047. https://doi.org/10.3390/app12031047

Brenes JA, López G, Ferrández-Pastor FJ and Marín-Raventós G (2024). Usability assessment of a greenhouse context-aware alert system for small-scale farmers. Frontiers in Computer Sciences 6:1412913. https://doi.org/10.3389/fcomp.2024.1412913

Dagar R, Som S, Khatri SK (2018). Smart farming-IoT in agriculture. In: Proceedings of the International Conference on Inventive Research in Computer Applications (ICIRCA). pp 1052-1056. https://doi.org/10.1109/ICIRCA.2018.8597264

de Oliveira ET, Crocomo OJ, Farinha TB, Gallo LA (2009). Large-scale micropropagation of Aloe vera. HortScience 44(6):1675-1678. https://doi.org/10.21273/hortsci.44.6.1675

Farooq MS, Javid R, Riaz S, Atal Z (2022). IoT based smart greenhouse framework and control strategies for sustainable agriculture. IEEE Access 10:99394-99420. https://doi.org/10.1109/ACCESS.2022.3204066

Golmohammadi F (2022). Medical plant of Aloe vera in desert regions of Iran: Greenhouses, economic importance, development, extension, processing and marketing. Black Sea Journal of Agriculture 5(1):1-15. https://doi.org/10.47115/bsagriculture.945710

Golpour I, Ferrão AC, Gonçalves F, Correia PMR, Blanco-Marigorta AM, Guiné RPF (2021). Extraction of phenolic compounds with antioxidant activity from strawberries: Modelling with Artificial Neural Networks (ANNs). Foods 10:2228. https://doi.org/10.3390/foods10092228

Gutiérrez S, Rocha R, Rendón D, Bernabé JC, Aguilera L, Solanki VK (2021). Tracking greenhouses farming based on internet of technology. In: Balas VE, Solanki VK, Kumar R (Eds). Further Advances in Internet of Things in Biomedical and Cyber Physical Systems. Intelligent Systems Reference Library, volume 193. Springer, Cham. https://doi.org/10.1007/978-3-030-57835-0_18

Hęś M, Dziedzic K, Górecka D, Jędrusek-Golińska A, Gujska E (2019). Aloe vera (L.) Webb.: Natural sources of antioxidants – A review. In: Plant Foods for Human Nutrition. Springer Science and Business Media LLC. 74(3):255-265. https://doi.org/10.1007/s11130-019-00747-5

Li Y, Kong D, Fu Y, Sussman MR, Wu H (2020). The effect of developmental and environmental factors on secondary metabolites in medicinal plants. Plant Physiology and Biochemistry 148:80-89. https://doi.org/10.1016/j.plaphy.2020.01.006

Martínez-Padrón H, Rodriguez R, Herrera-Mayorga V, Paredes-Sánchez F, Teresa Ma, Martínez J, Osorio E (2021). Biocontrol of Fusarium oxysporum by Trichoderma spp. in Aloe vera under greenhouse and field conditions. MYCOPATH 65-73.

Monisha SR, Yalamalli VD, Numan SU, Gowda KH, Rakesh MD (2022). Greenhouse monitoring and automation system. International Research Journal of Engineering and Technology (IRJET) 9(7):2619-2625. https://www.researchgate.net/publication/363652460

Petrakis T, Thomopoulos V, Kavga A, Argiriou AA (2023). An algorithm for calculating the shade created by greenhouse integrated photovoltaics. Energy, Ecology and Environment 9(3):272-300. https://doi.org/10.1007/s40974-023-00306-4

Petrakis T, Ioannou P, Kitsiou F, Kavga A, Grammatikopoulos G, Karamanos N (2024). Growth and physiological characteristics of strawberry plants cultivated under greenhouse-integrated semi-transparent photovoltaics. Plants 13:768. https://doi.org/10.3390/plants13060768

Petrakis T, Thomopoulos V, Kavga A (2024). Algorithmic advancements in agrivoltaics: Modeling shading effects of semi-transparent photovoltaics. Smart Agricultural Technology 9:100541. https://doi.org/10.1016/j.atech.2024.100541

Prisa D, Gobbino M (2021). Biological treatments for quality improvement and production of Aloe vera gel. GSC Advanced Research and Reviews 09(01):054-063. https://doi.org/10.30574/gscarr.2021.9.1.0237

Rea E, Pierandrei F, Rinaldi S, De Lucia B, Vecchietti L, Ventrelli A (2009). Effect of compost-based alternative substrata in potted Aloe vera (L.) BURM. F. Acta Horticulturae 807:541-546 https://doi.org/10.17660/ActaHortic.2009.807.79

Rodríguez-García R, Rodríguez DJ, de Gil-Marín JA, Angulo-Sánchez JL, Lira-Saldivar RH (2007). Growth, stomatal resistance, and transpiration of Aloe vera under different soil water potentials. Industrial Crops and Products 25:123-128). https://doi.org/10.1016/j.indcrop.2006.08.005

Surjushe A, Vasani R, Saple DG (2008). Aloe vera: a short review. Indian Journal of Dermatology 53(4):163-166. https://doi.org/10.4103/0019-5154.44785

Tavali IE, Ok H (2022). Comparison of heat-treated and unheated vermicompost on biological properties of calcareous soil and Aloe vera growth under greenhouse conditions in a Mediterranean climate. Agronomy 12:2649. https://doi.org/10.3390/agronomy12112649

Thomopoulos V, Bitas D, Papastavros K-N, Tsipianitis D, Kavga A (2021). Development of an integrated iot-based greenhouse control three-device robotic system. Agronomy 11:405. https://doi.org/10.3390/agronomy11020405

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Published

2024-11-15

How to Cite

KAVGA, A., THOMOPOULOS, V., MANGANI, S., KREMMYDAS, S., & PETRAKIS, T. (2024). The impact of greenhouse integrated photovoltaics on Aloe vera cultivation. Notulae Botanicae Horti Agrobotanici Cluj-Napoca, 52(4), 14168. https://doi.org/10.15835/nbha52414168

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Research Articles
CITATION
DOI: 10.15835/nbha52414168