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《Journal of Anhui Agricultural Sciences》 2008-10
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Estimation Models of Processing Tomato Yield Based on Canopy Hyperspectral Remote Sensing

FAN Ke-yan et al (Colllege of Biology,Shihezi University,Shihezi,Xinjiang 832003)  
[Objective] The aim was to estimate the yield of processing tomato with remote sensing.[Method] Canopy reflectance of processing tomato was measured with ASD FieldSpec during different stages.And the yield of processing tomato was collected.The relationship between canopy reflectance and processing tomato yield analyzed with single phase linear stepwise regression and multivariate regression for the first time.[Result] Hyperspectral parameters in fruit-set period had better correlation to yields.While hyperspectral parameters in other periods had a good relation to yields in different growing stages and correlation was extremely remarkable(P0.05).By comparison,four periods stepwise regression model is the best method for estimate processing tomato yield with remote sensing data.[Conclusion] The growth status of processing tomato can be monitored with hyperspectral remote sensing.Finally the yield of processing tomato can be estimated.
【CateGory Index】: S641.2
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