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

Shih-Lun Fang, Ting-Jung Chang, Yuan-Kai Tu, Han-Wei Chen, Min-Hwi Yao and Bo-Jein Kuo
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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

Agriculture, 2022, vol. 12, issue 5, 1-17

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%.

Keywords: tomato; greenhouse; stomatal conductance; irrigation; environmental controls (search for similar items in EconPapers)
JEL-codes: Q1 Q10 Q11 Q12 Q13 Q14 Q15 Q16 Q17 Q18 (search for similar items in EconPapers)
Date: 2022
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