![]() ![]() Recently, related research has been performed on dynamic light environment regulation. The control method initially considered crop demands, but there were shortcomings in the dynamic regulation mechanism. The authors verified the effect of this system on plant growth and development through a spinach growth experiment 9. considered the effect of the light quality on crop growth and designed an adjustable LED system capable of controlling light quality. Therefore, light environment control in greenhouse has been widely studied. The yield and quality of crops are seriously affected. This weak light situation inhibits the growth of the stem diameter and reduces dry matter accumulation, the net photosynthetic rate decreases due to nonstomatal limitation, the carboxylation efficiency and maximum RuBP regeneration rates also decrease 4, 5 These phenomena slow down the growth and development of crops and make them vulnerable to pests, causing more fallen leaves, less flowers and fruits 6, 7, 8. The greenhouse light usually appears to be weak at certain times of the year, especially in winter, early spring, and rainy seasons. It is difficult to meet light demands of crops in greenhouse due to the influence of covering materials, sun height angles and dip angle structures 2, 3. Light provides energy for photosynthesis, and it is one of the most important conditions affecting the growth and development of the external environment crops 1. ![]() The light control model was able to perform dynamic acquisition of the light saturation point and provide a theoretical basis for the efficient and accurate control of the greenhouse light environment. The slope of the fitting straight line comparing the measured and predicted light saturation point was 0.99, the intercept was 23.46 and the coefficient of determination was 0.98. The light saturation point was used to establish the light environment optimization and control model and to perform model validation. Next, a support vector machine(SVM) photosynthetic rate prediction model was used to obtain the light response curve under other temperatures and CO 2 conditions. Based on the measured data, photosynthetic rate predictions were determined. The photosynthetic rate values for different photosynthetic photon flux densities (PPFD), CO 2 concentration, and temperature conditions provided to cucumber seedlings were obtained by using an LI-6400XT portable photosynthesis system during multi-factorial experiments. ![]() In view of this challenge, this paper describes a light environment optimization and control model based on a crop growth model for predicting cucumber photosynthesis. Therefore, the dynamic acquisition of the light saturation point that is influenced by changes in temperature and CO 2 concentration is an important challenge for the development of greenhouse light environment control system. However, the light saturation point impacts the efficient use of light. Optimization and control of the greenhouse light environment is key to increasing crop yield and quality. ![]()
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