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Computational Fluid Dynamics Modelling of the Microclimate within the Boundary Layer of Leaves Leading to Improved Pest Control Management and Low-Input Greenhouse

Author

Listed:
  • Hicham Fatnassi

    (International Center for Biosaline Agriculture, Dubai 14660, United Arab Emirates)

  • Thierry Boulard

    (Université Côte d’Azur, INRAE, CNRS, UMR ISA, 06000 Nice, France)

  • Christine Poncet

    (Université Côte d’Azur, INRAE, CNRS, UMR ISA, 06000 Nice, France)

  • Nikolaos Katsoulas

    (Department of Agriculture Crop Production and Rural Environment, University of Thessaly, 38446 Volos, Greece)

  • Thomas Bartzanas

    (Department of Natural Resources Management and Agricultural Engineering, Agricultural University of Athens, 11855 Athens, Greece)

  • Murat Kacira

    (Department of Biosystems Engineering, College of Agriculture and Life Sciences, University of Arizona, Tucson, AZ 85721, USA)

  • Habtamu Giday

    (International Center for Biosaline Agriculture, Dubai 14660, United Arab Emirates)

  • In-Bok Lee

    (Laboratory of Aero-Environmental Engineering, Department of Rural System Engineering College of Agriculture and Life Science, Seoul National University, Seoul 08826, Korea)

Abstract

This work aims at using the Computational Fluid Dynamic (CFD) approach to study the distributed microclimate in the leaf boundary layer of greenhouse crops. Understanding the interactions in this microclimate of this natural habitat of plant pests (i.e., boundary layer of leaves), is a prerequisite for their control through targeted climate management for sustainable greenhouse production. The temperature and humidity simulations, inside the greenhouse, were performed using CFD code which has been adapted to simulate the plant activity within each mesh in the crop canopy. The air temperature and air humidity profiles within the boundary layer of leaves were deduced from the local surrounding climate parameters, based on an analytical approach, encapsulated in a Used Defined Function (UDF), and dynamically linked to the CFD solver, a work that forms an innovative and original task. Thus, this model represents a new approach to investigate the microclimate in the boundary layer of leaves under greenhouses, which resolves the issue of the inaccessibility of this area by the conventionnel measurement tools. The findings clearly showed that (i) contrarily to what might be expected, the microclimate parameters within the boundary layer of leaves are different from the surrounding climate in the greenhouse. This is particularly visible during photoperiods when the plant’s transpiration activity is at its maximum and that (ii) the climatic parameters in the leaf boundary layer are more coupled with leaf surfaces than with those of greenhouse air. These results can help developing localized intervention strategies on the microclimate within boundary layer of plant leaves, leading to improved and sustainable pest control management. The developed climatic strategies will make it possible to optimize resources use efficiency.

Suggested Citation

  • Hicham Fatnassi & Thierry Boulard & Christine Poncet & Nikolaos Katsoulas & Thomas Bartzanas & Murat Kacira & Habtamu Giday & In-Bok Lee, 2021. "Computational Fluid Dynamics Modelling of the Microclimate within the Boundary Layer of Leaves Leading to Improved Pest Control Management and Low-Input Greenhouse," Sustainability, MDPI, vol. 13(15), pages 1-13, July.
    • Handle: RePEc:gam:jsusta:v:13:y:2021:i:15:p:8310-:d:601414
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    References listed on IDEAS

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    1. Nebbali, R. & Roy, J.C. & Boulard, T., 2012. "Dynamic simulation of the distributed radiative and convective climate within a cropped greenhouse," Renewable Energy, Elsevier, vol. 43(C), pages 111-129.
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    1. Uk-Hyeon Yeo & Sang-Yeon Lee & Se-Jun Park & Jun-Gyu Kim & Young-Bae Choi & Rack-Woo Kim & Jong Hwa Shin & In-Bok Lee, 2022. "Rooftop Greenhouse: (1) Design and Validation of a BES Model for a Plastic-Covered Greenhouse Considering the Tomato Crop Model and Natural Ventilation Characteristics," Agriculture, MDPI, vol. 12(7), pages 1-25, June.
    2. Wu, Xiaoyang & Li, Yiming & Jiang, Lingling & Wang, Yang & Liu, Xingan & Li, Tianlai, 2023. "A systematic analysis of multiple structural parameters of Chinese solar greenhouse based on the thermal performance," Energy, Elsevier, vol. 273(C).

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