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

Table 6

Accuracy of cotton topping prediction based on regression model.

Input band	Method	Accuracy (%)
550 + 730 + 790 nm	Neural network	85.14
	Decision tree	85.23
	Random forests	84.45
	AdaBoost + decision tree	94.03
730 + 790 nm	Neural network	86.39
	Decision tree	84.17
	Random forests	84.72
	AdaBoost + decision tree	88.05
Full band spectra	Neural network	87.22
	Decision tree	85.14
	Random forests	84.86
	AdaBoost + decision tree	93.72