Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Automatic meteorological observation method and system for crops

An observation system and crop technology, applied in the field of agricultural informatization, can solve problems such as lack of meteorological observation capabilities, and achieve the effects of improving timeliness, pertinence, and work efficiency

Pending Publication Date: 2020-08-11
河北冀云气象技术服务有限责任公司
View PDF7 Cites 1 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] The purpose of the present invention is to overcome the deficiencies in the prior art, provide the meteorological automatic observation method and system for crops, solve the problem that the existing agricultural production lacks the meteorological observation ability, this application can realize the continuous observation of crop growth, improve work efficiency, Enhance the objectivity of observation data, reduce human error, and improve the timeliness and pertinence of business

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Automatic meteorological observation method and system for crops
  • Automatic meteorological observation method and system for crops
  • Automatic meteorological observation method and system for crops

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0050] The present embodiment provides a kind of meteorological automatic observation system of crops, such as Figure 2-6 Shown, comprise crop meteorological automatic observation station 10, provincial central station 40 and national comprehensive meteorological information sharing platform 30, the signal end of crop meteorological automatic observation station 10 is connected with the signal end of provincial central station 40, and provincial central station 40 The signal end of the national comprehensive meteorological information sharing platform 30 is connected to the signal end; the crop meteorological automatic observation station 10 includes an image sensor 102, an image collector 101 and peripheral equipment 104, and the image sensor 102 is connected with the image collector 101, and the image collector 101 Also connected to peripheral device 104 .

[0051] As a preferred embodiment, the crop weather observation station 10 also includes a video sensor 103 .

[0052...

Embodiment 2

[0064] The present embodiment provides the automatic meteorological observation method for crops, such as figure 1 As shown, the method includes:

[0065] Collect crop images, identify crop types according to the crop images, and the crop types include rice, wheat, corn, cotton, rapeseed, soybean and sugarcane;

[0066] Continuously acquire image information of crops, analyze the image information acquired at different time nodes, and judge the characteristic types of crops respectively, which include crop development period, coverage, density, canopy height, growth status evaluation, leaf Area index and dry matter weight;

[0067] Analyze and compare each feature type to determine whether the feature type is in a normal state.

[0068] Further, when judging the crop development period of the crop, first judge the type of the crop according to the image of the crop;

[0069] When the crop type is rice, the development period of the crop includes the transplanting period, th...

Embodiment 3

[0092]In this embodiment, on the basis of Embodiment 1 and Embodiment 2, the image information or video information collected by the image collector 101 of the present embodiment is transmitted to the provincial central station 40 and the national comprehensive weather information sharing platform 30 through the network for analysis judge. This embodiment can automatically identify agricultural meteorological disasters based on image data, meteorological data and artificially assisted observation data. Agricultural meteorological disasters are divided into dominant disasters with obvious symptoms of crop damage and can be identified through image analysis, and hidden disasters with no obvious symptoms of crop damage and difficult image recognition. Dominant disasters mainly include: drought, windy lodging, hail disaster; hidden disasters mainly include: waterlogging, continuous rain, low temperature and chilling damage, frost, freezing damage, snow disaster, high temperature h...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention discloses an automatic meteorological observation method for crops. The method comprises the following steps: collecting a crop image, and recognizing the types of crops according to thecrop image, and the types of crops comprise rice, wheat, corn, cotton, oilseed rape, soybean and sugarcane; continuously acquiring image information of the crops, analyzing the image information acquired at different time nodes, and respectively judging characteristic types of the crops, the characteristic types including crop development period, coverage, density, canopy height, growth conditionevaluation, leaf area index and dry matter weight; and analyzing and comparing each feature type, and judging whether the feature type is in a normal state or not. The problem that existing agricultural production is poor in meteorological observation capacity is solved, continuous observation of crop growth can be achieved, the working efficiency is improved, the objectivity of observation datais enhanced, personal errors are reduced, and the timeliness and pertinence of services are improved.

Description

technical field [0001] The invention relates to the technical field of agricultural informatization, in particular to an automatic meteorological observation method and system for crops. Background technique [0002] With the rapid development of electronic information technology, the era of combining agriculture and electronic information is getting closer. Existing agriculture already has large-scale machinery and monitoring systems for auxiliary operations. But the existing agriculture cannot observe and monitor agricultural meteorology. Therefore, enhancing the ability of agricultural meteorological observation is the need of my country's agricultural production, disaster prevention and mitigation, and meteorological development in the new century and under the new situation, and it is also the need of modern meteorological business development. Contents of the invention [0003] The purpose of the present invention is to overcome the deficiencies in the prior art, p...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06K9/62G06Q10/06G06Q50/02
CPCG06Q10/0639G06Q50/02G06V20/00G06F18/24
Inventor 张博杨晓光成海民
Owner 河北冀云气象技术服务有限责任公司
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products