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Construction and application of winter wheat yield prediction model in Northeast Henan province

A technology for yield prediction and winter wheat, applied in the field of agricultural engineering, can solve problems such as inability to accurately and precisely predict winter wheat yield

Active Publication Date: 2019-10-25
HENAN AGRICULTURAL UNIVERSITY
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The technical problem to be solved by the present invention is to provide a construction and application of a winter wheat yield prediction model suitable for the northeast of Henan Province, so as to solve the technical problem that the existing methods cannot accurately and precisely predict the winter wheat yield

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  • Construction and application of winter wheat yield prediction model in Northeast Henan province
  • Construction and application of winter wheat yield prediction model in Northeast Henan province

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0057] Example 1: Model building based on sum of growing degree days (SGDD) and sum of extreme degree days (SEDD)

[0058] The sum of GDD and EDD of winter wheat from the date of sowing to harvest of winter wheat is respectively SGDD and SEDD. The whole growth period of winter wheat from sowing to harvest is from October 15th of the first year to June 1st of the second year.

[0059] The sowing date of the entire Henan Province is uniformly selected as October 15 each year, and the harvest date is set as June 1 each year. Establish a regression model with winter wheat yield as the dependent variable and SGDD and SEDD in the growth process of winter wheat as independent variables. The formula is as follows:

[0060] - formula (I);

[0061] In the formula, Y is the yield of winter wheat, SGDD and SEDD are the sum of growing degree days and the sum of extreme degree days respectively; β 0 is the intercept of the equation; β G , β E are the influence degrees of SGDD and SE...

Embodiment 2

[0074] Example 2: Multivariate-based model construction

[0075] The yield of winter wheat during the growth process is the result of the combined effects of many factors. Among them, the normalized difference vegetation index (NDVI) value can directly reflect the photosynthesis and growth of winter wheat, and is closely related to the yield of winter wheat. NDVI is used as an influencing factor of the model. The value of NDVI used in constructing the model is the peak value of NDVI of winter wheat during April.

[0076] The winter wheat yield is predicted based on multiple variables, and a regression model is established between the winter wheat yield and SGDD, SEDD, and NDVI. The formula is as follows:

[0077] - Formula (V);

[0078] In the formula, Y is the yield of winter wheat, β 0 is the intercept of the equation; β G , β E are the effects of SGDD and SEDD on winter wheat yield, respectively, β N Represents the degree of influence of NDVI on winter wheat yield. ...

Embodiment 3

[0089] Example 3: Improvements to Multivariate Models

[0090] The normalized difference vegetation index (NDVI) value during the growth process of winter wheat can directly reflect the photosynthesis and growth of winter wheat. The growth of winter wheat is relatively lush from April to early May. At this time, the growth of winter wheat has a stronger correlation with the yield of winter wheat. The NDVI value of weeks, 17 weeks and 19 weeks was used as an influencing factor of the model.

[0091] Model in embodiment 2 is improved, winter wheat yield is predicted, winter wheat yield and SGDD, SEDD and the NDVI of each period are established regression model, and formula is as follows:

[0092] Y=β 0 +β G SGDD+β E SEDD+β N1 NDVI 1 +β N2 NDVI 2 +β N3 NDVI 3 - Formula (VII);

[0093] In the formula, Y is the yield per unit area of ​​winter wheat, SGDD and SEDD are the sum of growing degree days and the sum of extreme degree days respectively; NDVI 1 is the average va...

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Abstract

The invention discloses construction and application of a winter wheat yield prediction model in Northeast Henan province, and aims to solve the technical problem that an existing method cannot accurately and precisely predict the winter wheat yield. The invention provides a construction method of a winter wheat yield prediction model in a certain region and a winter wheat yield prediction methodin the region. According to the method, the yield of winter wheat in northeast of Henan Province can be accurately and precisely predicted, a new thought is provided for intelligent decision diagnosisof winter wheat production in Henan Province, guidance and suggestions are provided for agricultural production decisions, the agricultural production efficiency can be improved, and unnecessary losses are avoided.

Description

technical field [0001] The invention relates to the technical field of agricultural engineering, in particular to the construction and application of a winter wheat yield prediction model in Northeast Henan. Background technique [0002] Winter wheat is the main food crop in my country and is closely related to my country's food security. Henan Province is one of the core regions of my country's grain production. The planting area of ​​winter wheat accounts for more than 70% of the cultivated land area. The winter wheat production in Henan Province accounts for more than 25% of the total wheat production in the country. The northeastern part of Henan Province is also the main planting area of ​​winter wheat in Henan Province. The stable and high yield of winter wheat in the northeastern part of Henan Province is very important to ensure national food security. [0003] The production of winter wheat has a great impact on the global economy. The traditional method of estimat...

Claims

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Application Information

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IPC IPC(8): G06Q10/04G06Q50/02G06F17/18
CPCG06Q10/04G06Q50/02G06F17/18
Inventor 时雷段其国张娟娟马新明宋利红秦雅倩王健
Owner HENAN AGRICULTURAL UNIVERSITY
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