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- W2384619468 abstract "【Objective】The project of this paper aims to set up a prediction model of hybrid cotton growth traits based on canopy image,which might provide the basis for on-farm crop diagnosis and optimal crop management.【Method】In this paper,the empirical models for estimating dry matter accumulation,plant type and production factors were set up and tested by the experiments data of different varieties and irrigation quota.【Result】The results showed that the models for estimating dry matter accumulation by LAI(Leaf Area Index)and TCRP(Transmission Coefficient for Radiation Penetration),for estimating plant height by MFIA(Mean Foliage Inclination Angle)in bud stage,for estimating fruiting branch internode length and number by K(Extinction Coefficient)in full flowering stage,for estimating bolls per plant and yield by LD(Leaf Distribution)in full flowering stage had a better fitting effect.【Conclusion】The estimation model of growth traits built by using canopy machine image could be used in production." @default.
- W2384619468 created "2016-06-24" @default.
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- W2384619468 date "2015-01-01" @default.
- W2384619468 modified "2023-09-26" @default.
- W2384619468 title "Prediction Model of Hybrid Cotton Growth Traits Based on Canopy Image" @default.
- W2384619468 hasPublicationYear "2015" @default.
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