Abstract—The canopy structure of colored cotton is comparative complex. In this study, the vertical distribution of canopy leaf area was simulated by using the leaf area density (LAD(z)) and the cumulative leaf area index (LAI(z)) as index based on the probability density function of Beta distribution, and the distribution density for canopy leaf inclination was simulated based on ellipsoidal distribution function through layering the canopy of colored cotton following the Gaussian five-point method. After sprouting when the cumulative daily relative thermal effects (T*) was 42, results revealed that the root mean square error (RMSE) of LAD(z) and LAI(z) were 0.273 and 0.307, respectively, and the RMSE of the leaf inclination angle distribution frequency for each layer was 3.1%, 3.1%, 4.2%, 4.3%, and 5.8%, respectively. The model developed in this study is rationally sound and has validity, to a certain extent, when simulating the parameters of the colored cotton canopy. Moreover, the findings of this study have established a foundation for accurately and effectively studying the transmission of optical radiation and biomass production in future studies on the colored cotton canopy.

Index Terms—Cumulative daily relative thermal effect, leaf area vertical distribution, leaf inclination angle distribution, naturally colored cotton.

Zhenqi Fan is with College of Information Engineering, Tarim University, Alaer, Xinjiang, China. Jingchao Fan is with Agricultural Information Institute, the Chinese Academy of Agricultural Sciences, Beijing, China. Lixin Zhang is with College of Information Engineering, Tarim University, Alaer, Xinjiang, China.

Cite:Zhenqi Fan, Jingchao Fan, Lixin Zhang, "Numerical Simulation of the Canopy Structure of Naturally Colored Cotton in the Alaer Reclamation Area of Xinjiang," International Journal of Computer and Electrical Engineering vol. 12, no. 1, pp. 1-13, 2020.