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An IPSO-BP neural network for estimating wheat yield using two remotely sensed variables in the Guanzhong Plain, PR China.

, , , , , and . Comput. Electron. Agric., (2020)

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Integrating an attention-based deep learning framework and the SAFY-V model for winter wheat yield estimation using time series SAR and optical data., , , , , , and . Comput. Electron. Agric., (2022)An IPSO-BP neural network for estimating wheat yield using two remotely sensed variables in the Guanzhong Plain, PR China., , , , , and . Comput. Electron. Agric., (2020)Improving wheat yield estimates using data augmentation models and remotely sensed biophysical indices within deep neural networks in the Guanzhong Plain, PR China., , , , , and . Comput. Electron. Agric., (2022)A deep learning framework combining CNN and GRU for improving wheat yield estimates using time series remotely sensed multi-variables., , , , , and . Comput. Electron. Agric., (March 2023)Improving Wheat Yield Estimates by Integrating a Remotely Sensed Drought Monitoring Index Into the Simple Algorithm for Yield Estimate Model., , , , , , and . IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., (2021)A deep learning framework under attention mechanism for wheat yield estimation using remotely sensed indices in the Guanzhong Plain, PR China., , , , , , and . Int. J. Appl. Earth Obs. Geoinformation, (2021)Linking an agro-meteorological model and a water cloud model for estimating soil water content over wheat fields., , , , , , , and . Comput. Electron. Agric., (2020)Reconstruction of time series leaf area index for improving wheat yield estimates at field scales by fusion of Sentinel-2, -3 and MODIS imagery., , , , , and . Comput. Electron. Agric., (2020)