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

Table 1

Regression table of single band and the number of cotton plant height, flower buds, and fruiting branches.

Input band (nm)	Fitting index	Method	Fitting result
			R^2	RMSEP
550	Cotton plant height	Multivariate linear regression	0.02	2.61
		Neural network	0.11	29.08
		Support vector machine	0.09	27.48
		Decision tree	0.35	30.59
660	Cotton plant height	Multivariate linear regression	0.02	2.65
		Neural network	0.31	34.18
		Support vector machine	0.12	29.43
		Decision tree	0.31	30.17
730	Cotton plant height	Multivariate linear regression	0.44	1.98
		Neural network	0.60	20.34
		Support vector machine	0.65	22.86
		Decision tree	0.83	37.62
790	Cotton plant height	Multivariate linear regression	0.32	2.17
		Neural network	0.51	24.31
		Support vector machine	0.79	22.80
		Decision tree	0.78	36.80
550	Number of flower buds	Multivariate linear regression	0.01	0.64
		Neural network	0.07	6.98
		Support vector machine	0.24	7.01
		Decision tree	0.38	7.49
660	Number of flower buds	Multivariate linear regression	0.02	0.65
		Neural network	0.26	7.75
		Support vector machine	0.13	7.28
		Decision tree	0.38	7.50
730	Number of flower buds	Multivariate linear regression	0.46	0.47
		Neural network	0.55	4.74
		Support vector machine	0.80	5.33
		Decision tree	0.81	9.02
790	Number of flower buds	Multivariate linear regression	0.32	0.53
		Neural network	0.51	5.16
		Support vector machine	0.74	5.88
		Decision tree	0.76	8.83
550	Number of fruiting branches	Multivariate linear regression	0.02	0.65
		Neural network	0.28	7.99
		Support vector machine	0.11	6.91
		Decision tree	0.35	7.62
660	Number of fruiting branches	Multivariate linear regression	0.02	0.66
		Neural network	0.14	7.54
		Support vector machine	0.10	7.29
		Decision tree	0.31	7.52
730	Number of fruiting branches	Multivariate linear regression	0.43	0.49
		Neural network	0.66	4.93
		Support vector machine	0.76	5.65
		Decision tree	0.83	9.33
790	Number of fruiting branches	Multivariate linear regression	0.32	0.54
		Neural network	0.58	5.48
		Support vector machine	0.78	5.78
		Decision tree	0.79	9.19