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Plant-Response-Based Control Strategy for Irrigation and Environmental Controls for Greenhouse Tomato Seedling Cultivation

Author

Listed:
  • Shih-Lun Fang

    (Department of Agronomy, National Chung Hsing University, Taichung 40227, Taiwan)

  • Ting-Jung Chang

    (Department of Agronomy, National Taiwan University, Taipei 10617, Taiwan)

  • Yuan-Kai Tu

    (Division of Biotechnology, Taiwan Agricultural Research Institute, Taichung 41362, Taiwan)

  • Han-Wei Chen

    (Division of Biotechnology, Taiwan Agricultural Research Institute, Taichung 41362, Taiwan)

  • Min-Hwi Yao

    (Division of Agricultural Engineering, Taiwan Agricultural Research Institute, Taichung 41362, Taiwan)

  • Bo-Jein Kuo

    (Department of Agronomy, National Chung Hsing University, Taichung 40227, Taiwan
    Innovation and Development Center of Sustainable Agriculture (IDCSA), National Chung Hsing University, Taichung 40227, Taiwan
    Smart Sustainable New Agriculture Research Center (SMARTer), Taichung 40227, Taiwan)

Abstract

Most existing greenhouse decision support systems only consider external environmental factors, such as soil and atmosphere, rather than plant response. A conceptual plant-response-based strategy for irrigation and environmental controls for tomato ( Solanum lycopersicum ) seedling cultivation in greenhouse operations was proposed. Because stomatal conductance ( g sw ) is a comprehensive indicator of plants, soil moisture, and atmospheric conditions, this study used g sw to design a conceptual system by employing factors affecting g sw as the key for decision-making. Logistic regression was performed with independent variables (i.e., temperature ( T air ), vapor pressure deficit (VPD), and leaf–air temperature difference) to predict the g sw status. When the g sw status was “low,” the system entered into the environmental control component, which examined whether the VPD and the photosynthetic photon flux density (PPFD) were in the normal range. If the VPD and the PPFD were not in the normal range, the system would offer a suggestion for environmental control. Conversely, when both parameters were in the normal range, the system would determine that irrigation should be performed and the irrigation amount could be estimated by the evapotranspiration model. Thus, the strategy only considered leaf temperature, T air , VPD, and PPFD, and the overall error rate to characterize g sw was below 13.36%.

Suggested Citation

  • Shih-Lun Fang & Ting-Jung Chang & Yuan-Kai Tu & Han-Wei Chen & Min-Hwi Yao & Bo-Jein Kuo, 2022. "Plant-Response-Based Control Strategy for Irrigation and Environmental Controls for Greenhouse Tomato Seedling Cultivation," Agriculture, MDPI, vol. 12(5), pages 1-17, April.
    • Handle: RePEc:gam:jagris:v:12:y:2022:i:5:p:633-:d:804499
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    References listed on IDEAS

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