CN108318071A - A kind of accurate monitoring of crop growth system of monitoring - Google Patents
A kind of accurate monitoring of crop growth system of monitoring Download PDFInfo
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- CN108318071A CN108318071A CN201711435694.1A CN201711435694A CN108318071A CN 108318071 A CN108318071 A CN 108318071A CN 201711435694 A CN201711435694 A CN 201711435694A CN 108318071 A CN108318071 A CN 108318071A
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01D—MEASURING NOT SPECIALLY ADAPTED FOR A SPECIFIC VARIABLE; ARRANGEMENTS FOR MEASURING TWO OR MORE VARIABLES NOT COVERED IN A SINGLE OTHER SUBCLASS; TARIFF METERING APPARATUS; MEASURING OR TESTING NOT OTHERWISE PROVIDED FOR
- G01D21/00—Measuring or testing not otherwise provided for
- G01D21/02—Measuring two or more variables by means not covered by a single other subclass
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T5/00—Image enhancement or restoration
- G06T5/50—Image enhancement or restoration by the use of more than one image, e.g. averaging, subtraction
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/10—Image acquisition modality
- G06T2207/10032—Satellite or aerial image; Remote sensing
- G06T2207/10036—Multispectral image; Hyperspectral image
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/20—Special algorithmic details
- G06T2207/20212—Image combination
- G06T2207/20221—Image fusion; Image merging
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/30—Subject of image; Context of image processing
- G06T2207/30181—Earth observation
- G06T2207/30188—Vegetation; Agriculture
Abstract
The present invention provides a kind of accurate monitoring of crop growth systems of monitoring, including Sensor monitoring module, remote sensing monitoring module, data transmission module, crop management module and warning module, the Sensor monitoring module is used to acquire the parameter information of reflection crop growth situation, and the parameter information of acquisition is sent to by crop management module by data transmission module, the remote sensing monitoring module is for acquiring the different remote sensing source images of crops, fusion treatment is carried out to remote sensing images, and blending image will be sent to by data transmission module by crop management module, the crop management module is monitored crop growth situation according to the parameter information and blending image, the warning module is used to send out early warning according to the monitoring situation of crop growth.Beneficial effects of the present invention are：The accurate measurements for realizing crop growth, help to improve crop yield.
Description
Technical field
The present invention relates to crop technical fields, and in particular to a kind of accurate monitoring of crop growth system of monitoring.
Background technology
Agricultural occupys an important position in China's economy, and therefore, the growing state of crops is not only related to people
Life, have an effect on expanding economy.However, the growth of crops makes because of the features such as it takes up a large area, and growth cycle is long
Growing state can not be grasped at any time by obtaining people, and traditional agricultural monitoring system mostly uses personal monitoring, not only expends a large amount of labor
Power, and accurate measurements can not be carried out.
Invention content
In view of the above-mentioned problems, the present invention is intended to provide a kind of accurate monitoring of crop growth system of monitoring.
The purpose of the present invention is realized using following technical scheme：
Provide a kind of accurate monitoring of crop growth system of monitoring, including Sensor monitoring module, remote sensing monitoring mould
Block, data transmission module, crop management module and warning module, the Sensor monitoring module is for acquiring reflection crops
The parameter information of growing state, and the parameter information of acquisition is sent to by crop management module, institute by data transmission module
Remote sensing monitoring module is stated for acquiring the different remote sensing source images of crops, fusion treatment is carried out to remote sensing images, and pass through number
Blending image will be sent to crop management module according to transmission module, the crop management module is according to the parameter information
Crop growth situation is monitored with blending image, the warning module is used to be sent out according to the monitoring situation of crop growth
Go out early warning.
Beneficial effects of the present invention are：The accurate measurements for realizing crop growth, help to improve crop yield.
Description of the drawings
Using attached drawing, the invention will be further described, but the embodiment in attached drawing does not constitute any limit to the present invention
System, for those of ordinary skill in the art, without creative efforts, can also obtain according to the following drawings
Other attached drawings.
Fig. 1 is the structural schematic diagram of the present invention；
Reference numeral：
Sensor monitoring module 1, remote sensing monitoring module 2, data transmission module 3, crop management module 4, warning module
5。
Specific implementation mode
The invention will be further described with the following Examples.
Referring to Fig. 1, a kind of accurate monitoring of crop growth system of monitoring of the present embodiment, including Sensor monitoring module
1, remote sensing monitoring module 2, data transmission module 3, crop management module 4 and warning module 5, the Sensor monitoring module 1
Parameter information for acquiring reflection crop growth situation, and sent the parameter information of acquisition by data transmission module 3
To crop management module 4, the remote sensing monitoring module 2 is for acquiring the different remote sensing source images of crops, to remote sensing images
Fusion treatment is carried out, and blending image will be sent to by data transmission module 3 by crop management module 4, the crops
Management module 4 is monitored crop growth situation according to the parameter information and blending image, and the warning module 5 is used for
Early warning is sent out according to the monitoring situation of crop growth.
The present embodiment realizes the accurate measurements of crop growth, helps to improve crop yield.
Preferably, the Sensor monitoring module 1 include first sensor component and second sensor component, described first
Sensor module includes the sensor for monitoring the soil moisture, soil moisture and P in soil H values respectively, the second sensor
Component includes for monitoring intensity of illumination, air themperature and the sensor of air humidity respectively.
This preferred embodiment realizes the Overall Acquisition of crop growth situation parameter by Sensor monitoring module 1.
Preferably, the remote sensing monitoring module 2 includes single treatment module, after-treatment module, three times processing module, four
Secondary processing module and five processing modules, the single treatment module are used to acquire the remote sensing images of crops, the secondary place
Reason module is used to obtain the first fusion results of remote sensing images, and the processing module three times is melted for obtaining the second of remote sensing images
It closes as a result, four processing modules obtain the blending image of remote sensing images according to the first fusion results and the second fusion results,
Five processing modules are for evaluating the syncretizing effect of the blending image.
This preferred embodiment realizes the accurate fusion of crops remote sensing images by remote sensing monitoring module 2 and is imitated to fusion
The accurate evaluation of fruit.
Preferably, the single treatment module is used to acquire the remote sensing images of crops：Acquire two width remote sensing source images RU,
MH, wherein RU is high-definition picture, and MH is low-resolution image；The after-treatment module is for obtaining remote sensing images
First fusion results, are merged using following formula：
In formula, DT1(i, j) indicates that the first fusion results, RU (i, j) indicate source images RU in the gray value of pixel (i, j), MH
(i, j) indicates source images MH in the gray value of pixel (i, j), and i, j are respectively the line number and row number of pixel in image, i=1,
2 ..., N, j=1,2 ..., M.
Two images to be fused are considered as two two-dimensional matrixes by this preferred embodiment after-treatment module, by two images
The corresponding pixel value in upper spatial position carries out weighting summation after being handled, the sum of weighting is as new images on the spatial position
Pixel value, due to participate in fusion image include a large amount of redundancy, more rich letter can be obtained by this fusion
Multispectral image can be decomposed into multiple gray level images by breath, the fusion for multispectral image, when use, then be melted respectively
Conjunction is handled, they are finally synthesized a multispectral image again.
Preferably, the processing module three times is used to obtain the second fusion results of remote sensing images, is melted using following formula
It closes：In formula, RU indicates source high-definition picture, rMH、gMH、bMHIt indicates respectively
The red, green, blue channel image of source low-resolution image MH, rDT、gDT、bDTIndicate that the red, green, blue of the second fusion results is logical respectively
Road image；The second fusion results DT is obtained according to red, green, blue channel image2(i,j)。
Four processing modules obtain the blending image of remote sensing images according to the first fusion results and the second fusion results,
Specially：In formula, DT (i, j) indicates the blending image of remote sensing images.
Processing module simplifies the coefficient of image conversion process to this preferred embodiment three times, can eliminate space or time change
The gain of generation maintains the spectral information of former multispectral image while enhancing image, obtains accurate second fusion
As a result；Four processing modules combine the first fusion results and the second fusion results to obtain blending image, and it is good to have obtained syncretizing effect
Blending image, either after-treatment module still processing module three times is merged in pixel layer.Pixel tomographic image
Fusion can be used to increase the information content of each pixel in image, and more characteristic informations are provided for next step image procossing,
Information as much as possible is remained, precision is relatively high, can be easier identification potential target.
Preferably, five processing modules include the first evaluation submodule, the second evaluation submodule and overall merit
Module, the first evaluation submodule are used to obtain the first evaluation of estimate of blending image, and the second evaluation submodule is for obtaining
The second evaluation of estimate of blending image is taken, the overall merit submodule is according to the first evaluation of estimate and the second evaluation of estimate to blending image
It is evaluated；The first evaluation submodule is used to obtain the first evaluation of estimate of blending image, specially：By interpretation, personnel are direct
With the naked eye the quality of blending image is assessed, is given a mark to picture quality according to the subjective sensation of people, marking uses hundred
System is divided to carry out, score value is higher, indicates that the quality of blending image is better, and the score value that will give a mark is as the first evaluation of estimate RX1。
This preferred embodiment realizes the accurate evaluation of remote sensing image fusion effect, specifically, the first evaluation of estimate has letter
Single, intuitive advantage, quick and easy evaluation can be carried out to apparent image information,
The second evaluation submodule is used to obtain the second evaluation of estimate of blending image, specially：Melted using following formula calculating
Close the second evaluation of estimate of image：
In formula, RX2Indicate that the second evaluation of estimate, R (i, j) indicate standard reference image, i, j are respectively pixel in image
Line number and row number, i=1,2 ..., N, j=1,2 ..., M；
The overall merit submodule evaluates blending image according to the first evaluation of estimate and the second evaluation of estimate：Calculating is melted
Close the comprehensive evaluation value of image：
In formula, RX indicates the comprehensive evaluation value of blending image；Comprehensive evaluation value is bigger, indicates that syncretizing effect is better.
The second evaluation of estimate of this preferred embodiment can avoid the subjective impairment of personnel, and objective evaluation is carried out to image, comprehensive
The advantages of evaluation of estimate combination subjective assessment and objective evaluation, helps to realize the accurate evaluation of syncretizing effect, to ensure that agriculture
Crop growth monitoring is horizontal.
Accurate monitoring of crop growth system is monitored using the present invention to be monitored crops, chooses 5 monitoring sections
Domain is tested, and region 1, monitoring region 2, monitoring region 3, monitoring region 4, monitoring region 5 is respectively monitored, to monitoring efficiency
It is counted with monitoring cost, compared with personal monitoring, generation has the beneficial effect that shown in table：
| Monitoring efficiency improves | Monitoring cost valence reduces | |
| Monitor region 1 | 29% | 27% |
| Monitor region 2 | 27% | 26% |
| Monitor region 3 | 26% | 26% |
| Monitor region 4 | 25% | 24% |
| Monitor region 5 | 24% | 22% |
Finally it should be noted that the above embodiments are merely illustrative of the technical solutions of the present invention, rather than the present invention is protected
The limitation of range is protected, although being explained in detail to the present invention with reference to preferred embodiment, those skilled in the art answer
Work as understanding, technical scheme of the present invention can be modified or replaced equivalently, without departing from the reality of technical solution of the present invention
Matter and range.
Claims (7)
1. a kind of accurate monitoring of crop growth system of monitoring, which is characterized in that including Sensor monitoring module, remote sensing monitoring
Module, data transmission module, crop management module and warning module, the Sensor monitoring module is for acquiring reflection farming
The parameter information of object growing state, and the parameter information of acquisition is sent to by crop management module by data transmission module,
The remote sensing monitoring module carries out fusion treatment for acquiring the different remote sensing source images of crops, to remote sensing images, and passes through
Blending image will be sent to crop management module by data transmission module, and the crop management module is believed according to the parameter
Breath and blending image are monitored crop growth situation, and the warning module is used for the monitoring situation according to crop growth
Send out early warning.
2. the accurate monitoring of crop growth system of monitoring according to claim 1, which is characterized in that the sensor prison
It includes first sensor component and second sensor component to survey module, and the first sensor component includes for monitoring soil respectively
The sensor of earth temperature, soil moisture and P in soil H values, the second sensor component include for respectively monitor intensity of illumination,
The sensor of air themperature and air humidity.
3. the accurate monitoring of crop growth system of monitoring according to claim 2, which is characterized in that the remote sensing monitoring
Module includes single treatment module, after-treatment module, three times processing module, four processing modules and five processing modules, institute
Remote sensing images of the single treatment module for acquiring crops are stated, the after-treatment module is for obtaining the first of remote sensing images
Fusion results, the processing module three times are used to obtain the second fusion results of remote sensing images, four processing modules according to
First fusion results and the second fusion results obtain the blending image of remote sensing images, and five processing modules to described for melting
The syncretizing effect for closing image is evaluated.
4. the accurate monitoring of crop growth system of monitoring according to claim 3, which is characterized in that the single treatment
Module is used to acquire the remote sensing images of crops：Acquire two width remote sensing source images RU, MH, wherein RU is high-definition picture, MH
For low-resolution image；The after-treatment module is used to obtain the first fusion results of remote sensing images, is melted using following formula
It closes：In formula, DT1(i, j) indicates that first melts
It closes as a result, RU (i, j) indicates source images RU in the gray value of pixel (i, j), source images MH is at pixel (i, j) for MH (i, j) expressions
Gray value, i, j are respectively the line number and row number of pixel in image, i=1,2 ..., N, j=1,2 ..., M.
5. the accurate monitoring of crop growth system of monitoring according to claim 4, which is characterized in that described to handle three times
Module is used to obtain the second fusion results of remote sensing images, is merged using following formula：
In formula, RU indicates source high-definition picture, rMH、gMH、bMHThe red, green, blue of source low-resolution image MH is indicated respectively
Channel image, rDT、gDT、bDTThe red, green, blue channel image of the second fusion results is indicated respectively；According to red, green, blue channel image
Obtain the second fusion results DT2(i,j)；
Four processing modules obtain the blending image of remote sensing images according to the first fusion results and the second fusion results, specifically
For：In formula, DT (i, j) indicates the blending image of remote sensing images.
6. the accurate monitoring of crop growth system of monitoring according to claim 5, which is characterized in that five processing
Module includes the first evaluation submodule, the second evaluation submodule and overall merit submodule, and the first evaluation submodule is used for
The first evaluation of estimate of blending image is obtained, the second evaluation submodule is used to obtain the second evaluation of estimate of blending image, described
Overall merit submodule evaluates blending image according to the first evaluation of estimate and the second evaluation of estimate；The first evaluation submodule
The first evaluation of estimate for obtaining blending image, specially：Directly with the naked eye the quality of blending image is carried out by interpretation personnel
Assessment, gives a mark to picture quality according to the subjective sensation of people, and marking is carried out using hundred-mark system, and score value is higher, indicates fusion
The quality of image is better, using marking score value as the first evaluation of estimate RX1。
7. the accurate monitoring of crop growth system of monitoring according to claim 6, which is characterized in that second evaluation
Submodule is used to obtain the second evaluation of estimate of blending image, specially：The second evaluation of estimate of blending image is calculated using following formula：
In formula, RX2Indicate that the second evaluation of estimate, R (i, j) indicate standard reference image, i, j are respectively the row of pixel in image
Number and row number, i=1,2 ..., N, j=1,2 ..., M；
The overall merit submodule evaluates blending image according to the first evaluation of estimate and the second evaluation of estimate：Calculate fusion figure
The comprehensive evaluation value of picture：
In formula, RX indicates the comprehensive evaluation value of blending image；Comprehensive evaluation value is bigger, indicates that syncretizing effect is better.
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