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Senp Cotton Yield Estimation Method and Estimation Model Construction Method Based on UAV Image

A technology for estimating models and construction methods, applied in neural learning methods, biological neural network models, calculations, etc., can solve the problems of low production estimation accuracy and achieve the effect of improving production estimation accuracy

Active Publication Date: 2022-04-29
新疆疆天航空科技有限公司 +1
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] The purpose of the present invention is to provide a SENP cotton yield estimation method and estimation model construction method based on unmanned aerial vehicle image, solve the problem that the estimation accuracy of the existing cotton yield estimation model is not high

Method used

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  • Senp Cotton Yield Estimation Method and Estimation Model Construction Method Based on UAV Image
  • Senp Cotton Yield Estimation Method and Estimation Model Construction Method Based on UAV Image

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Embodiment 1

[0037] 1. Overview of the study area and species selection

[0038] The research area is located in the Shihezi Reclamation Area of ​​the Eighth Division of Xinjiang Production and Construction Corps, 86°01′17″-86°01′33″ east longitude, 44°29′36″-44°29′49″ north latitude. The southern edge of the Urbantunggut Desert is flat, with an average altitude of about 450.8 meters, and slopes from southeast to northwest. It has a typical temperate continental climate, with long and cold winters and short and hot summers. The annual average temperature in this area is between 6.5-7.2 ℃, the temperature in the north is low, the temperature in the south is high, the annual precipitation is between 125.0-207.7 mm, the frost-free period is 168-171 days, the sunshine is abundant, and the annual sunshine hours are 2721-2818 Hour. The cultivated land in the study area is flat and contiguous, the construction of strip fields is standardized, and the level of mechanization and scale of cotton pl...

Embodiment 2

[0093] This embodiment provides a SENP cotton yield estimation method based on unmanned aerial vehicle images, which includes using the model constructed by the method described in Example 1 to estimate the cotton yield in a certain area.

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Abstract

The invention discloses a SENP cotton yield estimation method and estimation model construction method based on unmanned aerial vehicle images. The estimation model construction method comprises: selecting a sample area; acquiring visible light remote sensing image data at the seedling stage and extracting a single plant through a U-Net model The spatial position map of cotton seedlings in the sample area and the total number of cotton seedlings; multiple multi-spectral data were obtained during the critical period of cotton growth, and according to the multi-spectral data and the actual cotton yield in the tested experimental area and the measured cotton per plant in each experimental area. The average number of bolls was analyzed successively to obtain a regression model for the estimation of the number of bolls per plant, and the estimated regression model of the number of bolls per plant was combined with the measured average single boll weight of a single boll to obtain the predicted yield model of cotton per plant. Cotton boll opening coefficient model; using the total number of cotton seedlings, the predicted yield model of cotton per plant and the cotton boll opening coefficient model to create a SENP cotton yield estimation model, the use of this estimation model can solve the problem of low yield estimation accuracy of the existing cotton yield estimation model.

Description

technical field [0001] The invention relates to a method for estimating SENP cotton yield and a method for constructing an estimation model based on unmanned aerial vehicle images. Background technique [0002] In the process of cotton planting, yield forecast has a direct effect on formulating cotton production management, ensuring national food security, and maintaining sustainable agricultural development. It is an important factor affecting regional economic development and has been valued by governments at all levels. Xinjiang is an important cotton production base in my country. Since 1995, Xinjiang's cotton production, per unit area yield, quality, per capita share, and external transfer volume have continuously ranked first in the country's major cotton-producing regions. According to the latest data in 2019, Xinjiang's cotton production reached 5.111 million tons in 2018, with a sown area of ​​37.37 million mu, accounting for 83.8% of the national cotton production....

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06Q50/02G06Q10/06G06Q10/04G06N3/08G06N3/04
CPCG06Q50/02G06Q10/04G06Q10/06393G06N3/08G06N3/045
Inventor 郭鹏江岩鲍健徐权周皓
Owner 新疆疆天航空科技有限公司
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