Irrigation water demand calculation method considering fine distribution of crops, electronic equipment and storage medium

Through high-resolution remote sensing classification and dynamic water balance model, combined with the FAO-56Penman-Monteith method and the root area water balance model, the problem of insufficient accuracy in the calculation of crop water demand in the existing technology is solved, and the refined management of high-resolution irrigation water demand is achieved.

CN120541361AActive Publication Date: 2025-08-26INST OF GEOGRAPHICAL SCI & NATURAL RESOURCE RES CAS
3 Cites 3 Cited by

Patent Information

Application Number
CN202510529107.3
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-04-25
Publication Date
2025-08-26
Estimated Expiration
2045-04-25

AI Technical Summary

Technical Problem

The existing irrigation water demand calculation methods fail to effectively reflect the internal spatial heterogeneity of crops, lack of high-resolution spatial data support, making it difficult to achieve accurate estimation of water demand under fine distribution of crops.

Method used

Combining high-resolution remote sensing classification, dynamic water balance model and multi-source data rasterization processing, the evaporation and water demand of crops are calculated through the FAO-56Penman-Monteith method and the root region water balance model to generate a high-resolution irrigation water demand distribution map.

Benefits of technology

The accurate estimation of water demand under the fine distribution of crops has been achieved, and the accuracy of irrigation water demand calculation and the level of refined water resource management have been improved.

✦ Generated by Eureka AI based on patent content.
Patent Text Reader

Abstract

The invention discloses an irrigation water demand calculation method considering fine distribution of crops, electronic equipment and a storage medium, and aims to accurately calculate the irrigation water demand and spatial distribution of the crops in a target area through a remote sensing technology, meteorological data and a soil moisture balance model. The method comprises the following steps: collecting remote sensing crop classification, weather and soil parameter data; reference crop evapotranspiration is calculated at the grid scale; configuring crop parameters; calculating root zone soil moisture change based on a water balance model; and calculating the water demand of crops and the water demand of irrigation by adopting an FAO-56 crop coefficient method. Through refined crop distribution and dynamic soil moisture simulation, high-resolution irrigation water demand distribution information is provided, and a scientific basis is provided for agricultural water resource management.
Need to check novelty before this filing date? Find Prior Art