Research on Biological Materials for the Preferred of the Chlorophyll Content Gray GM (1,1) Prediction Models Based on the Different Light

Abstract:

Light is one of the most important factor in the growth of plants, with the advent and application of biological materials such as different artificial LED source, the new agricultural technology has been rapid development. In this study, first established the gray GM (1,1) prediction model of the pepper seedlings chlorophyll changes under the different light and then compared of the chlorophyll models under the different light. Last the study found that different artificial LED have the different effect and the forecasting curve and prediction model under the blue is optimal for pepper seedling by comparing the chlorophyll curves and predictive models of pepper seedlings under different light, so blue light is the most suitable for the growth of pepper seedlings. The results turned out that accuracy test of the three gray prediction models can achieve the best grade, and the three gray prediction models have the good practical value. Grey prediction theory can be better applied to the study of the plants.

• Periodical: Advanced Materials Research (Volume 910)
• Pages: 65-69
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.910.65
• Online since: March 2014
• Authors: Long Zhao, Zhao Mei Qiu, Peng Jun Mao, Gui Yang Deng
• Keywords: Chlorophyll Content, Gray GM (1,1) Model, LED, Light

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