Area crop nutrient management method based on multi-spectrum remote sensing information

A multi-spectral, crop-based technique applied in the computer field

Inactive Publication Date: 2014-04-02
BEIJING RES CENT FOR INFORMATION TECH & AGRI
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The technical problem to be solved by the present invention is how to efficiently and simply meet the problem of real-time diagnosis of crop nutrient abundance

Method used

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  • Area crop nutrient management method based on multi-spectrum remote sensing information
  • Area crop nutrient management method based on multi-spectrum remote sensing information
  • Area crop nutrient management method based on multi-spectrum remote sensing information

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Embodiment Construction

[0034] Embodiments of the present invention will be described in detail below with reference to the accompanying drawings.

[0035] like figure 1 Described, the present invention provides a kind of regional crop nutrient management method based on multispectral remote sensing information, comprising the following steps:

[0036] Step S1: Calculate the nitrogen demand response index of crops.

[0037] Specifically, step S1 further includes:

[0038] Step S11: Obtain the normalized normalized vegetation index of the crops in the normal area and the normalized normalized vegetation index of the crops in the sufficient area.

[0039] Step S12: Calculate the ratio of the normalized normalized vegetation index of the crops in the sufficient area and the normalized vegetation index of the crops in the normal area to obtain the nitrogen demand response index of the crop.

[0040] Step S2: Establish a crop potential yield prediction model.

[0041] Specifically, step S2 further inc...

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PUM

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Abstract

The invention relates to an area crop nutrient management method based on multi-spectrum remote sensing information. The method includes: calculating the nitrogen demand response index of crops; building a potential output prediction model of the crops; calculating the topdressing output prediction model of the crops according to the nitrogen demand response index and the potential output prediction model; calculating the nitrogen demand model; substituting the multi-spectrum remote sensing information of the crops into the nitrogen demand model to obtain a nitrogen application prescription map of the crops. The method has the advantages that the normalized differential vegetation index of the crops is calculated according to the red light wavebands and near infrared wavebands in the multi-spectrum remote sensing information, the index is substituted into the topdressing output prediction model of the crops to obtain the nitrogen demand model, and the nitrogen application prescription map is obtained; the method is fast, accurate and practical in area crop nutrient management.

Description

technical field [0001] The invention relates to the field of computer technology, in particular to a regional crop nutrient management method based on multispectral remote sensing information. Background technique [0002] Nitrogen is an important and indispensable nutrient element for crops, such as winter wheat, during growth and development. The key to crop nutrient management lies in the diagnosis and appropriate addition of nitrogen. The demand for nitrogen in the process of crop growth and development is subject to the comprehensive influence of the soil environment, field microclimate and the characteristics of the crop itself. Farmers often apply excessive nitrogen fertilizer to ensure crop yield, which greatly reduces the fertilizer use efficiency and also affects the soil and ecology. cause great damage to the environment. Therefore, real-time and effective nutrient diagnosis of crops and decision-making of positioning, timing, and quantitative fertilization are t...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F19/00
Inventor 杨贵军张竞成宋晓宇徐新刚顾晓鹤杨小冬冯海宽常红闫华
Owner BEIJING RES CENT FOR INFORMATION TECH & AGRI
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