Research on Monitoring Topping Time of Cotton Based on AdaBoost+Decision Tree

Table 2

Regression table of traditional vegetation index and the cotton plant height, flower buds, and fruiting branches.

Input band	Fitting index	Method	Fitting result
			R^2	RMSEP
DI	Cotton plant height	Multivariate linear regression	0.28	2.23
		Neural network	0.42	2.30
		Support vector machine	0.55	2.72
		Decision tree	0.65	3.39
	Number of flower buds	Multivariate linear regression	0.28	0.54
		Neural network	0.48	5.67
		Support vector machine	0.53	5.80
		Decision tree	0.67	8.44
	Number of fruiting branches	Multivariate linear regression	0.28	0.56
		Neural network	0.45	5.66
		Support vector machine	0.51	5.75
		Decision tree	0.65	8.57
DVI	Cotton plant height	Multivariate linear regression	0.32	2.17
		Neural network	0.43	2.81
		Support vector machine	0.65	2.65
		Decision tree	0.73	3.86
	Number of flower buds	Multivariate linear regression	0.30	0.54
		Neural network	0.54	3.52
		Support vector machine	0.62	3.09
		Decision tree	0.71	3.62
	Number of fruiting branches	Multivariate linear regression	0.32	0.54
		Neural network	0.45	2.02
		Support vector machine	0.61	3.89
		Decision tree	0.73	2.95
NDVI	Cotton plant height	Multivariate linear regression	0.20	2.35
		Neural network	0.22	2.06
		Support vector machine	0.60	2.44
		Decision tree	0.54	3.93
	Number of flower buds	Multivariate linear regression	0.17	0.58
		Neural network	0.28	0.70
		Support vector machine	0.60	0.74
		Decision tree	0.54	0.75
	Number of fruiting branches	Multivariate linear regression	0.20	0.59
		Neural network	0.26	0.66
		Support vector machine	0.60	0.34
		Decision tree	0.55	0.81
CIrededge	Cotton plant height	Multivariate linear regression	0.32	0.21
		Neural network	0.76	0.71
		Support vector machine	0.79	0.73
		Decision tree	0.49	0.96
	Number of flower buds	Multivariate linear regression	0.31	0.53
		Neural network	0.59	0.17
		Support vector machine	0.77	0.19
		Decision tree	0.46	0.71
	Number of fruiting branches	Multivariate linear regression	0.32	0.54
		Neural network	0.62	0.16
		Support vector machine	0.79	0.18
		Decision tree	0.47	0.49
GNDVI	Cotton plant height	Multivariate linear regression	0.13	2.45
		Neural network	0.13	2.67
		Support vector machine	0.19	2.87
		Decision tree	0.44	3.15
	Number of flower buds	Multivariate linear regression	0.14	0.59
		Neural network	0.24	0.85
		Support vector machine	0.30	0.72
		Decision tree	0.45	0.77
	Number of fruiting branches	Multivariate linear regression	0.13	0.61
		Neural network	0.15	0.88
		Support vector machine	0.22	0.73
		Decision tree	0.44	0.78
TVI	Cotton plant height	Multivariate linear regression	0.17	2.40
		Neural network	0.11	2.14
		Support vector machine	0.56	3.51
		Decision tree	0.57	3.45
	Number of flower buds	Multivariate linear regression	0.15	0.59
		Neural network	0.16	0.68
		Support vector machine	0.79	0.98
		Decision tree	0.56	0.84
	Number of fruiting branches	Multivariate linear regression	0.16	0.60
		Neural network	0.16	0.68
		Support vector machine	0.94	0.99
		Decision tree	0.57	0.32