Nondestructive estimation of potato yield using relative variables derived from multi-period LAI and hyperspectral data based on weighted growth stage

Table 3 Potato yield estimation models based on weighted growth stage

Weighting method	Vegetation parameter	SS	TFS	TES	SAS	HS	Regression model	Adjusted R²	RMSE	Significance test
IAHP	CI_{red edge}	0.0329	0.1296	0.5101	0.2638	0.0636	y = 0.4484a − 0.1318	0.8092	0.2340	P < 0.001
IAHP	LAI	0.0329	0.1296	0.5101	0.2638	0.0636	y = 0.4717b − 0.1778	0.8127	0.2318	P < 0.001
EW	CI_{red edge}	0.1441	0.1556	0.2906	0.1633	0.2464	y = 0.5504a − 0.2357	0.7949	0.2426	P < 0.001
EW	LAI	0.1808	0.1701	0.2958	0.1679	0.1854	y = 0.6056b − 0.3255	0.7960	0.2419	P < 0.001
OCW	CI_{red edge}	0.0663	0.1374	0.4442	0.2337	0.1185	y = 0.4775a − 0.1788	0.8225	0.2257	P < 0.001
OCW	LAI	0.0773	0.1417	0.4458	0.2350	0.1002	y = 0.5169b − 0.2330	0.8333	0.2187	P < 0.001

a and b represent rCI_{red edge} and rLAI of weighted growth stage respectively. y is the relative yield of potato

ISSN: 1746-4811