Research of maize yield estimation based on unmanned aerial vehicle multispectral NDVI
[Objective]To explore the normalized difference vegetation index,an estimation model for maize yield,this study has provided a theoretical basis for the multispectral prediction of maize yield by field UAV.[Methods]Xinjiang eighteen spring-sown maize was taken as the research object,a multispectral im-age of the flowering period was obtained,and the actual spectral reflectance of the experimental area was ob-tained after radiometric correction,atmospheric correction,establishment of mask,extraction of NDVI map,and calculation of vegetation coverage,so as to obtain the actual value of normalized vegetation index.In addi-tion to that,the NDVI value was fitted to the measured yield in the field.[Results]The power functions Y=23,411.46-10,997.99/X(R2=0.488,6),polynomial functions Y=39,003.00-117,963.03X+103,130.25X2(R2=0.562,0),using partial least squares regression.The result was a linear function Y=24,458.22X-9,620.55(R2=0.722,2).[Conclusion]The results show that it has a certain correlation with maize yield,and the linear function model of NDVI value and yield during the critical period of maize growth.
maizeyieldnormalized vegetation index(NDVI)partial least squares regression(PLSR)
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