Abstract

Abstract Aiming at the problem that the original yield prediction model of rice and wheat crops has low prediction accuracy in use, yield prediction model of rice and wheat crops based on the ecological distance algorithm. According to the design process, weather parameters, soil parameters, and behavioral parameters were obtained as crop yield impact parameters. Using this parameter in combination with the Pearson correlation coefficient and the total sensitivity index, the data assimilation technique was used to determine the crop yield predictor. The ecological distance algorithm was combined with crop yield predictors to construct a yield prediction model of rice and wheat crops. Compared with the original yield prediction model, the output forecast result of this model is closer to the sample result. In summary, the yield prediction model of rice and wheat based on Ecological distance algorithm has higher prediction accuracy.

Full Text
Paper version not known

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

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.