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

Journal
Agriculture-Basel
Journal Volume
12
Journal Issue
5
Pages
633
Date Issued
2022-05
Author(s)
Shih-Lun Fang
Ting-Jung Chang
Yuan-Kai Tu  
Han-Wei Chen  
Ming-Hwi Yao  
Bo-Jein Kuo
DOI
10.3390/agriculture12050633
URI
https://www.mdpi.com/2077-0472/12/5/633
https://scholars.tari.gov.tw/handle/123456789/17315
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%.
Subjects
tomato
greenhouse
stomatal conductance
irrigation
environmental controls
Publisher
MDPI
Type
journal article

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