Method for improving irrigation prediction accuracy of rice in irrigation district based on digital twinning

By dividing the irrigation area into sub-regions, establishing a digital mapping model and constructing a dynamic adaptive computing system, and combining multi-source data and gradient descent algorithm, the shortcomings of existing irrigation forecasting methods in terms of adaptability and accuracy to rice crops have been solved, achieving high-precision irrigation forecasting and water-saving and yield-increasing effects.

CN122175056APending Publication Date: 2026-06-09GANFU PLAIN WATER CONSERVANCY ENG ADMINISTRATION BUREAU OF JIANGXI PROVINCE (JIANGXI PROVINCIAL IRRIGATION TEST CENT STATION)
View PDF 2 Cites 0 Cited by

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
GANFU PLAIN WATER CONSERVANCY ENG ADMINISTRATION BUREAU OF JIANGXI PROVINCE (JIANGXI PROVINCIAL IRRIGATION TEST CENT STATION)
Filing Date
2026-01-30
Publication Date
2026-06-09

AI Technical Summary

Technical Problem

Existing irrigation forecasting methods have significant shortcomings in terms of adaptability to rice crops and improvement of forecast accuracy, making it difficult to meet the needs of refined management in modern irrigation areas. In particular, they have large errors when meteorological data accuracy is insufficient, and they do not take into account the impact of field management measures.

Method used

The irrigation area is divided into sub-regions using GIS technology, and a digital mapping model is established. By combining meteorological, field measurement and non-meteorological data, a dynamic adaptive calculation system is constructed. The gradient descent algorithm is used to correct the model parameters in real time, generate a refined irrigation scheduling plan, and realize the optimization of the model and the dynamic adaptive correction of parameters.

Benefits of technology

It significantly improves the calculation accuracy and stability of irrigation forecasts, realizes the complementarity and coordinated scheduling of multi-source data, reduces forecast errors, and improves irrigation water utilization and crop yield.

✦ Generated by Eureka AI based on patent content.

Smart Images

  • Figure CN122175056A_ABST
    Figure CN122175056A_ABST
Patent Text Reader

Abstract

This invention discloses a method for improving the accuracy of rice irrigation forecasts in irrigation districts based on digital twins, belonging to the field of agricultural water conservancy engineering technology. Based on digital twin technology, this invention divides the irrigation district into sub-regions using GIS and constructs a digital mapping model; it establishes a dynamic adaptive calculation system with multi-model selection, combining meteorological data completeness, rice growth period, and historical errors, and calculates the appropriate model using a dynamic weighted adaptation algorithm, obtaining the final value from the input data; it introduces soil moisture and field management correction coefficients to construct a dynamic calculation model; combined with the calculation of real-time water requirements for rice, it generates a refined irrigation scheduling plan for the sub-regions and achieves coordinated irrigation; and it corrects parameters using a gradient descent algorithm to ensure forecast accuracy. This method, through its dynamic adaptive calculation system, solves the accuracy problem in scenarios with missing data and has broad application value.
Need to check novelty before this filing date? Find Prior Art