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 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%.

Automated summary

A plant-response-based strategy for irrigation and environmental controls in greenhouse cultivation was proposed. The strategy used stomatal conductance as an indicator and logistic regression to predict the plant status. The system offered suggestions for environmental control and irrigation based on the predicted status.