Research on Rice Yield Prediction Model Based on Deep Learning

Table 2

Parametric predictive model analysis of the single variables.

	Univariate predictive models	R^2	Adjusted R^2	Standard estimate error	F Test	Salience
TPCA	Linear	0.288	0.285	53.353	76.549	0.000
	Index	0.299	0.295	0.317	S0.4S6	0.000
	Logarithm	0.294	0.290	53.148	78.600	0.000
	Polynomial	0.301	0.290	53.137	26.904	0.000
	Power function	0.349	0.345	0.306	101.171	0.000
OPCA	Linear	0.412	0.409	49.298	134.519	0.000
	Index	0.414	0.411	0.299	135.426	0.000
	Logarithm	0.439	0.436	48.156	150.185	0.000
	Polynomial	0.452	0.444	47.823	52.324	0.000
	Power function	0.513	0.511	0.272	202.493	0.000