Irrigation decision model for tomato seedlings based on optimal photosynthetic rate

Abstract

Soil moisture is a major environmental factor that influences tomato growth and development. Suitable soil moisture not only increases tomato production but also saves irrigation water. In this study, an irrigation decision model was developed, which called soil moisture regulation model, for optimizing growth of tomato seedlings while saving water. The data used for modeling were collected from a multi-gradient nested experiment, in which temperature, photosynthetic photon flux density (PPFD), carbon dioxide (CO 2 ) concentration and soil moisture were variables and the corresponding photosynthetic rate was measured. Subsequently, a prediction model of tomato photosynthetic rate was constructed using support vector regression (SVR) algorithm. With photosynthetic rate prediction model as fitness function, genetic algorithm (GA) was used to find the optimal soil moisture under each combination of the above environmental factors. Finally, back propagation neural network (BPNN) algorithm was used to establish a decision model of tomato irrigation, which could provide the optimal soil moisture under current environment. For the soil moisture regulation model constructed here, the coefficient of determination was 0.9738, the mean square error of the test set was 1.51×10 -5 , the slope of the verified straight line was 0.9752, and the intercept was 0.00916. This model demonstrated high precision, which thereby provides a theoretical basis for accurate irrigation control in the greenhouse facility environment.

Hyperspectral image-based measurement of total flavonoid content of leaf-use Ginkgo biloba L.

“…Successive projections algorithm (SPA) is a forward feature variable selection method, that can find the most representative characteristic wavebands by analyzing collinearity between bands (Ma et al, 2022). The genetic algorithm (GA) is a method of searching for an optimal solution by simulating the natural evolution process (Wan et al, 2021). This method established the corresponding fitness function after encoding each channel, and the characteristic wavebands were obtained by methods of selection, crossover, and mutation.…”

Effects of biofertilizer and water-saving irrigation interactions on the leaf photosynthesis and plant growth of tomatoes

“…High quality, efficient and intelligent cultivation of tomatoes is a current research hotspot, whereas it also faces problems such as low irrigation and fertilizer utilization and environmental pollution. Irrigation and fertilizer directly influence tomato growth and development, yield formation and fruit quality [4][5][6] . Optimizing irrigation and fertilizer management helps to sustain greenhouse tomato production, achieve the "win-win" strategy of high yield and profit maximization, and reduce environmental risks caused by irrational fertilization management practices [7] .…”

Development of an IoT-Based Precision Irrigation System for Tomato Production from Indoor Seedling Germination to Outdoor Field Production

“…The system can help to obtain a precise measurement of soil moisture in the plant root zone and apply the required proportion of water at the right time. Water stress may damage metabolic processes and photosynthetic apparatuses, leading to a decrease in crop growth [23]. Ors et al [24] found that water stress conditions can permanently damage plant growth by disrupting root and stem development and by reducing the width and number of leaves.…”