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Optimization of Salvia Officinalis L. Cultivation Using UV LEDs in Total Control Environment Agriculture

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Intelligent Computing & Optimization (ICO 2022)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 569))

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Abstract

In this article, the effect of UV irradiation of various ranges on the growth and development of Salvia officinalis L. plants was studied. Using vegetation indices, leaf microscopy, and assessment of plant growth and pigment composition, the stress level was assessed and the optimal lighting treatment for growing the sage plants in total control environment agriculture was determined. According to a complex of growth indicators, the best light treatment for Salvia officinalis L. of ‘Kubanets’ variety was additional UV-B irradiation (increase in fresh leaf mass 11.9%, dry mass 24.6%, leaf surface area 8, 5%). For the most effective assessment of the sage plant stress level, it is better to use the CRI1 and CRI2 indices, which correlate with the carotenoid content. The quantity and ratio of peltate trichomes, can also serve as an indirect method for assessing the sage stress status.

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Authors and Affiliations

  1. Federal Scientific Agroengineering Center VIM, 1st Institutsky passage 5, 109428, Moscow, Russia

    N. Semenova, A. Ivanitskikh, A. Smirnov, Y. Proshkin, D. Burynin, N. Uyutova & V. Panchenko

  2. Russian University of Transport, Obraztsova st. 9, 127994, Moscow, Russia

    V. Panchenko

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  1. N. Semenova
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  2. A. Ivanitskikh
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  3. A. Smirnov
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  4. Y. Proshkin
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  6. N. Uyutova
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  7. V. Panchenko
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Corresponding author

Correspondence to N. Semenova .

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Editors and Affiliations

  1. Modeling Evolutionary Algorithms Simulation and Artificial Intelligence, Faculty of Electrical and Electronics Engineering, Ton Duc Thang University, Ho Chi Minh City, Vietnam

    Pandian Vasant

  2. Faculty of Engineering Management, Poznan University of Technology, Poznań, Wielkopolskie, Poland

    Gerhard-Wilhelm Weber

  3. Facultad de Ingeniería, Universidad Panamericana, Mexico City, Mexico

    José Antonio Marmolejo-Saucedo

  4. Department of Business Statistics and Operations Research, School of Economic Sciences, North West University, Mahikeng, South Africa

    Elias Munapo

  5. Department of Computer Science, UOW Malaysia KDU Penang University Colle, George Town, Malaysia

    J. Joshua Thomas

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Semenova, N. et al. (2023). Optimization of Salvia Officinalis L. Cultivation Using UV LEDs in Total Control Environment Agriculture. In: Vasant, P., Weber, GW., Marmolejo-Saucedo, J.A., Munapo, E., Thomas, J.J. (eds) Intelligent Computing & Optimization. ICO 2022. Lecture Notes in Networks and Systems, vol 569. Springer, Cham. https://doi.org/10.1007/978-3-031-19958-5_57

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