Abstract
Jindazaohuang No. 2 was selected as the test material to analyze the law of yield change under different water stress conditions. Through spectral monitoring of soybean canopy height under different water stress treatments, the rule of yield variation was explored and the response rule of canopy spectral reflectance to water stress was studied. At the same time, successive projections algorithm is used to extract the characteristic band, and the multiple linear regression monitoring model based on the soybean yield characteristic band is constructed. The results showed that the higher the degree of water stress, the lower the yield of soybean is basically. The canopy spectral reflectance is significantly related to yield of soybean, the coefficient of determination R2 of the successive projections algorithm-multiple linear regression model 41 days after construction was 0.791. The model test results are significant and the fitting effect is good. The research found that it is feasible to use hyperspectral technology to monitor the growth and yield of soybean under water stress quickly and nondestructively.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.