Wheat Grain Yield Estimation Based on Image Morphological Properties and Wheat Biomass

Table 6

Performance evaluation of the six models used for wheat grain yield estimation.

Regression models	Mdl1		Mdl2		Mdl3		Mdl4		Mdl5		Mdl6
	V502	V9023	V502	V9023	V502	V9023	V502	V9023	V502	V9023	V502	V9023
Linear regression	0.9893	0.9869	0.986	0.987	0.9563	0.880	0.8981	0.8667	0.9665	0.844	0.956	0.8809
Linear SVR	0.9757	0.9568	0.967	0.956	0.9525	0.930	0.8981	0.9319	0.9653	0.8767	0.9652	0.9489
Quadratic SVR	0.9762	0.9573	0.967	0.957	0.9532	0.931	0.8993	0.9318	0.9655	0.9032	0.9650	0.9492
Cubic SVR	0.9833	0.8646	0.885	0.986	0.1197	0.063	0.8868	0.7215	0.9588	0.8967	0.9598	0.2454
RBF SVR	0.9735	0.9539	0.964	0.953	0.9504	0.928	0.8947	0.9299	0.9633	0.8731	0.9633	0.9469

V502 = “Luyuan 502” and V9023 = “Zhengmai 9023”.