Winter wheat scab prediction method

A prediction method and technology for scab, which can be used in prediction, instruments, complex mathematical operations, etc., and can solve problems such as inability to achieve intelligent prediction and inconvenience in use.

Inactive Publication Date: 2017-08-22
HEBEI AGRICULTURAL UNIV.
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  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, none of the above prediction methods can realize intelligent prediction and is inconvenient to use

Method used

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  • Winter wheat scab prediction method
  • Winter wheat scab prediction method
  • Winter wheat scab prediction method

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Experimental program
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Embodiment 1

[0024] The establishment of embodiment 1 prediction model

[0025] 1.1 Source of information:

[0026] 1.1.1 Sowing area, diseased area and yield data sources

[0027] Acquisition of winter wheat planting area and total production data from 2001 to 2015 in Hebei Province: from the official website of the National Bureau of Statistics of the People's Republic of China.

[0028] Acquisition of the data on the incidence area and yield loss of winter wheat head blight from 2001 to 2015 in various cities of Hebei Province: from the Plant Protection and Inspection Station of the Department of Agriculture of Hebei Province.

[0029] 1.1.2 Sources of disease data

[0030] Acquisition of historical disease ear rate data: collected data from Anxin, Dingzhou, Wangdu, Pingshan, Zhengding, Xinji, Xinle, Wuji, Xingtang, Lingshou, Luancheng, Fucheng, Wuyi, Jingxian County , Linxi, Ningjin, Cixian, Guantao, Quzhou, Yongnian, Daming 21 counties of head blight disease ear rate data, from the...

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Abstract

The invention provides a winter wheat scab prediction method comprising the following steps that the total rainfall x<1> in the mid-April of the year of the wheat region of the central Hebei province, the average relative humidity x<2> of May 1-5th of the year, the average temperature x<3> of the mid-April of the year, the average temperature x<4> of April 21-25th of the year, the average wind velocity x<5> of May 1-5th of the year, the average wind velocity x<6> from December of the last year to February of the year and the highest temperature x<7> of the November of the last year are acquired; and the diseased panicle rate of the winter wheat scab is predicted according to the formula (I): y= 26.381+0.320x<1>+0.249x<2>+0.655x<3> 0.376x<4>+2.387x<5> 3.466x<6>+0.491x<7> (I), where in y refers to the diseased panicle rate of the winter wheat scab. According to the method, intelligent prediction of the winter wheat scab can be realized, and the prevention and control work of the winter wheat scab and the safety production can be timely and scientifically guided.

Description

technical field [0001] The invention belongs to the technical field of agricultural damage forecasting, and in particular relates to a forecasting method for scab of winter wheat. Background technique [0002] Wheat is an important food crop in China and the world. Hebei Province is the main wheat planting area and main producing area in my country. The high and stable yield of wheat is of great significance in ensuring food safety production. For a long time, the serious occurrence of diseases and insect pests has become an important factor restricting the high and stable yield of wheat, and caused serious yield and quality loss, posing a serious threat to the safe production of wheat and my country's food security. [0003] Wheat head blight is a worldwide disease, which generally occurs in major wheat-producing regions in the world, especially in temperate regions with humid and rainy climate, and is one of the main diseases of wheat. In the past, scab mainly occurred in...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/04G06Q50/02G06F17/18
CPCG06F17/18G06Q10/04G06Q50/02
Inventor 尹宝重甄文超齐永志张雪娇吕硕
Owner HEBEI AGRICULTURAL UNIV.
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