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

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 controls tomato (Solanum lycopersicum) seedling cultivation in operations was proposed. Because stomatal conductance (gsw) is a comprehensive indicator of plants, moisture, atmospheric conditions, this study used gsw to design system by employing factors affecting the key decision-making. Logistic regression performed with independent variables (i.e., temperature (Tair), vapor pressure deficit (VPD), leaf–air difference) predict status. When status “low,” entered into control component, which examined whether VPD photosynthetic photon flux density (PPFD) were normal range. If PPFD not range, would offer suggestion control. Conversely, when both parameters determine that should be amount could estimated evapotranspiration model. Thus, considered leaf temperature, Tair, VPD, PPFD, overall error rate characterize below 13.36%.