The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Feb. 03, 2026

Filed:

Jun. 19, 2025
Applicant:

Wuhan University, Hubei, CN;

Inventors:

Zhaocong Wu, Hubei, CN;

Ruixin Fang, Hubei, CN;

Nan Xie, Hubei, CN;

Kexin Wang, Hubei, CN;

Assignee:

WUHAN UNIVERSITY, Hubei, CN;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06V 20/10 (2022.01); G06V 10/82 (2022.01);
U.S. Cl.
CPC ...
G06V 20/188 (2022.01); G06V 10/82 (2022.01);
Abstract

A fusion network model-based crop yield inversion method and system, the method includes: obtaining meteorological data and remote-sensing image data in a study region; building a Long Short-Term Memory-Convolutional Neural Networks (LSTM-CNN) coupling neural network model by using LSTM and CNN; performing pretraining on the LSTM by using simulation data generated by a WOFOST crop growth model, freezing LSTM layer parameters, and training the LSTM-CNN coupling neural network model based on the meteorological data and the remote-sensing image data to obtain a crop yield inversion model. In the present disclosure, by combining the advantages of the crop growth model and the neural network model, information extraction is performed on meteorological data and remote-sensing image data respectively, and feature information is fused into one feature vector. Thus, prior yield inversion information can be obtained from the meteorological data and the land plot information can be introduced.


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