Field wheat moisture utilization rate rapid detection method and system

A detection method and utilization rate technology, applied in the direction of color/spectral characteristic measurement, complex mathematical operations, etc., can solve problems such as unclear physiological meaning, insufficient precision, complex parameters, etc., and achieve good modeling effect, fast and accurate prediction, prediction high precision effect

Active Publication Date: 2021-11-12
HENAN AGRICULTURAL UNIVERSITY
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Problems solved by technology

Predecessors have made some progress in using remote sensing data to monitor crop WUE, but the monitoring indicators, methods and models are not consistent due to locations and crop types, and their app

Method used

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[0042]The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, but not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.

[0043] The embodiment of the present invention discloses a rapid detection method for the water utilization rate of field wheat, see figure 1 , including the following steps:

[0044] Step 1. Collect the spectral reflectance of wheat in the area, and extract the field vegetation index NDDA. NDDA has the smallest prediction error and the highest prediction accuracy for leaf water use efficiency.

[0045] Step 2: Select the optimal remote

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Abstract

The invention discloses a field wheat moisture utilization rate rapid detection method and system, and relates to the technical field of wheat moisture detection. The method comprises the steps of: 1, collecting a field vegetation index NDDA in a region; 2, selecting an optimal remote sensing parameter from the remote sensing parameters, and enabling the optimal remote sensing parameter to be OWBI; 3, combining the vegetation index NDDA and the optimal remote sensing parameter OWBI to obtain a remote sensing combination parameter NDDA/OWBI; and 4, establishing a relation model between the remote sensing combination parameter NDDA/OWBI and the crop water utilization rate WUE. According to the method, the physiological advantage that the leaf moisture utilization rate can effectively represent the instantaneous moisture utilization condition of crops is fully utilized, and the field crop group moisture utilization efficiency is rapidly estimated by utilizing a hyperspectral remote sensing measurement technology through conversion from the leaf scale to the field group scale.

Description

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Claims

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Application Information

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Owner HENAN AGRICULTURAL UNIVERSITY
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