CN105894131A - Fruit-piercing moth rapid early-warning method - Google Patents
Fruit-piercing moth rapid early-warning method Download PDFInfo
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- CN105894131A CN105894131A CN201610273725.7A CN201610273725A CN105894131A CN 105894131 A CN105894131 A CN 105894131A CN 201610273725 A CN201610273725 A CN 201610273725A CN 105894131 A CN105894131 A CN 105894131A
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- 238000000034 method Methods 0.000 title claims abstract description 20
- 241000977434 Eudocima apta Species 0.000 title 1
- 241000310262 Eudocima materna Species 0.000 claims abstract description 56
- 230000007613 environmental effect Effects 0.000 claims description 9
- 230000003203 everyday effect Effects 0.000 claims description 7
- 238000005286 illumination Methods 0.000 claims description 3
- 239000011159 matrix material Substances 0.000 claims description 3
- 230000000877 morphologic effect Effects 0.000 claims description 3
- 230000011218 segmentation Effects 0.000 claims description 3
- 238000005728 strengthening Methods 0.000 claims description 3
- 241000320631 Eudocima salaminia Species 0.000 abstract 1
- 235000013399 edible fruits Nutrition 0.000 description 10
- 241000256259 Noctuidae Species 0.000 description 7
- 241000320707 Oraesia excavata Species 0.000 description 4
- 230000000694 effects Effects 0.000 description 4
- 238000005516 engineering process Methods 0.000 description 4
- 241000207199 Citrus Species 0.000 description 3
- 235000020971 citrus fruits Nutrition 0.000 description 3
- 235000011389 fruit/vegetable juice Nutrition 0.000 description 3
- 240000001008 Dimocarpus longan Species 0.000 description 2
- 235000000235 Euphoria longan Nutrition 0.000 description 2
- 241001237160 Kallima inachus Species 0.000 description 2
- 241001093152 Mangifera Species 0.000 description 2
- 244000183278 Nephelium litchi Species 0.000 description 2
- 244000018633 Prunus armeniaca Species 0.000 description 2
- 235000009827 Prunus armeniaca Nutrition 0.000 description 2
- 239000002420 orchard Substances 0.000 description 2
- 241000548268 Citrus deliciosa Species 0.000 description 1
- 241001672694 Citrus reticulata Species 0.000 description 1
- 241001269238 Data Species 0.000 description 1
- 101100117236 Drosophila melanogaster speck gene Proteins 0.000 description 1
- 241000196324 Embryophyta Species 0.000 description 1
- 244000061508 Eriobotrya japonica Species 0.000 description 1
- 235000009008 Eriobotrya japonica Nutrition 0.000 description 1
- 241000255777 Lepidoptera Species 0.000 description 1
- 244000294611 Punica granatum Species 0.000 description 1
- 235000014360 Punica granatum Nutrition 0.000 description 1
- 241000382353 Pupa Species 0.000 description 1
- 241000220324 Pyrus Species 0.000 description 1
- 241000238370 Sepia Species 0.000 description 1
- 235000009392 Vitis Nutrition 0.000 description 1
- 241000219095 Vitis Species 0.000 description 1
- 241000607479 Yersinia pestis Species 0.000 description 1
- 230000003187 abdominal effect Effects 0.000 description 1
- 238000005452 bending Methods 0.000 description 1
- 210000000481 breast Anatomy 0.000 description 1
- 230000009172 bursting Effects 0.000 description 1
- 238000006243 chemical reaction Methods 0.000 description 1
- 238000000605 extraction Methods 0.000 description 1
- 210000003734 kidney Anatomy 0.000 description 1
- 239000003973 paint Substances 0.000 description 1
- 230000003071 parasitic effect Effects 0.000 description 1
- 235000021017 pears Nutrition 0.000 description 1
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 description 1
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- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
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- G06Q50/02—Agriculture; Fishing; Forestry; Mining
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- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T5/00—Image enhancement or restoration
- G06T5/70—Denoising; Smoothing
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/0002—Inspection of images, e.g. flaw detection
- G06T7/0004—Industrial image inspection
- G06T7/001—Industrial image inspection using an image reference approach
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Abstract
The invention discloses a fruit-piercing moth rapid early-warning method, and the method comprises the steps: building a database for the image features of fruit-piercing moths; collecting environment data in an early-warning region; setting image collection points in the early-warning region, and regularly carrying out image collection; processing the collected images; extracting feature parameters of the collected images; comparing the obtained feature parameters with the data in the database, calculating the number of difference images which are consistent with the feature parameters in the database, and calculating the number of the fruit-piercing moths according to the relation between the number of the image collection points in the early-warning region and the area of the early-warning region; respectively comparing the number of the fruit-piercing moths and the environment data with the daily number and environment data of the latest week, judging whether the number of the fruit-piercing moths tends to increase or not, and carrying out early warning. Through the daily comparison of the image feature parameters of the fruit-piercing moths and the judgment of the change of the number of the fruit-piercing moths, the method judges whether the number of the fruit-piercing moths tends to increase or not, and carries out the early warning and prompt for the burst of fruit-piercing moths.
Description
Technical field
The invention belongs to agricultural technology field, specifically, relate to a kind of quick method for early warning of fruit piercing moth.
Background technology
Fruit piercing moth belongs to Lepidoptera, Noctuidae, mainly includes fruit piercing moth, Oraesia excavata, dead leaf
The relatively large noctuids such as noctuid, withered sheath list edge noctuid, little bridging worm.Fruit piercing moth is as the class on fruit tree
Important pests, based on adult harm, the siphoning mouthparts of its uniqueness inserts mature fruit and draws juice,
Flow out juice, the soft corruption of wound, shape of bursting in water at acanthopore, cause the phenomenon such as dehiscent fruit, shedding, can cause and subtract
Produce 20-30%, up to 90% time serious, damage to crops include Fructus Litchi, Arillus Longan and mandarin orange, Fructus Mangifera Indicae,
The multiple fruits such as loquat, Fructus Myricae rubrae, pears, Fructus Persicae, Fructus Vitis viniferae, Punica granatum L..
Mandarine producing region occurs the most universal and tight with fruit piercing moth, Oraesia excavata and withered leaf noctuid
Weight.1. fruit piercing moth.Become polypide length 16～19 millimeters, wing expanse 34～40 millimeters.Body brown, head
Bronzing.Fore wing sepia, prominent angulation in the middle part of outer rim；Cave in the middle part of inner edge.Larva body is about 38
Millimeter, colored paint is black, and health often bends to bridge shape.At the southeast and Central China wide geographic area, generating capacity often accounts for 70%
Above.2. Oraesia excavata.Become polypide length 23～26 millimeters, wing expanse 49～51 millimeters.Body brown,
Head is red orange.Fore wing puce, apex of the wing hook-type, in the middle part of outer rim, circle is prominent, and in the middle part of inner edge, indent is deeper.
Larvae color is greyish black, has blackstreak.Head taupe.Arch bridge shape is made in walking.3. withered leaf noctuid.Become
Polypide is about 40 millimeters, wing expanse about 105 millimeters.Head, the reddish brown brown of breast, abdominal part apricot.Fore wing is dark
Brown such as dead leaf, there is a pitchy oblique line from the apex of the wing to trailing edge recess.Hind wing apricot, has arc and kidney
Shape black speck each one.Larvae color is yellowish-brown or grey brown, has dark-coloured strain line, head bronzing, the anterior often arch of body
Bent.Occurring more with Sichuan, also there is distribution in Japan.
The generation of fruit piercing moth, different because of kind, season and parasitic plant.At southern china, April is
Evil Folium Eriobotryae, 5～cause harm June Fructus Persicae, Lee, late June to August causes harm Fructus Mangifera Indicae, Fructus Litchi, Arillus Longan, August
The middle ten days to December is caused harm Citrus.The mixing of various fruit piercing moths occurs, but often based on fruit piercing moth.Mountain
The evil fruit rate in Citrus orchard, ground is often more than 10%.Adult is acanthopore on fruit, makes killed fruit gradually fester de-
Fall.There are for 4～6 generations in 1 year at southern china in fruit piercing moth, mainly survives the winter with larva；Oraesia excavata
About there are for 4 generations, survive the winter with larva, adult, pupa；Withered leaf noctuid 2～3 generation.3 kinds of fruit piercing moths send out
Raw the most overlapping, Citrus of causing harm October reach peak.Adult flies into orchard at dusk, and statvolt fruit face thorn is inhaled
Juice.Sultry calm appearance at night amount is most.Temperature is down to less than 13 DEG C or wind-force reaches more than 3 grades
Time, there is moth amount rapid drawdown.
Summary of the invention
In view of this, cause harm the whole year fruit tree to solve fruit piercing moth, it is difficult to find in advance to carry out early warning
Problem, the invention provides a kind of quick method for early warning of fruit piercing moth.
In order to solve above-mentioned technical problem, the invention discloses a kind of quick method for early warning of fruit piercing moth, bag
Include following steps:
The image features of fruit piercing moth is set up data base；
Collect the environmental data in prewarning area；
To arranging image acquisition point in prewarning area, timing carries out image acquisition；
The image collected is processed；
To the image zooming-out characteristic parameter after processing；
The characteristic parameter obtained is compared with the data in fruit piercing moth image features data base,
Calculate the differential image quantity consistent with characteristic parameter in data base, according to image acquisition point in prewarning area
Quantity and the area relationship of prewarning area, calculate fruit piercing moth quantity；
The quantity and environmental data phase every day with nearest one week respectively by fruit piercing moth quantity, environmental data
Relatively, it is judged that whether fruit piercing moth quantity has increase trend and make early warning.
Further, described environmental data includes that surface temperature, surface humidity, intensity of illumination, air are wet
Degree and air themperature.
Further, the time interval of described timing is the arbitrary integer between 1-24.
Further, described image procossing include discoloring, the segmentation of noise reduction, edge strengthening, image and two-value
Change.
Further, described extraction characteristic parameter includes fruit piercing moth morphological feature and HUShi not bending moment
Battle array feature.
Further, described morphological feature includes area, girth, complexity, elongation, rectangular degree,
Equivalent circular area radius, feeler and the area ratio of trunk.
Compared with prior art, the present invention can obtain and include techniques below effect:
1) present invention is by contrasting the every day of fruit piercing moth image features, to inhaling fruit in pre-police region
The change of noctuid quantity every day carries out Statistic analysis, and then judges whether fruit piercing moth quantity is significantly increased
Trend, early warning is quickly made in the outburst to fruit piercing moth.
Certainly, the arbitrary product implementing the present invention must be not necessarily required to reach all the above skill simultaneously
Art effect.
Detailed description of the invention
Describe embodiments of the present invention in detail below in conjunction with embodiment, thereby the present invention how should
Solve technical problem by technological means and reach the process that realizes of technology effect and can fully understand and according to this
Implement.
Embodiment
A kind of quick method for early warning of fruit piercing moth, comprises the following steps:
Collect fruit piercing moth specimen and take pictures, to the area of fruit piercing moth in picture, girth, complexity
Degree, elongation, rectangular degree, equivalent circular area radius, feeler are constant with the area ratio of trunk and HUShi
The characteristic parameters such as matrix set up data base；
The surface temperature monitored in real time and collect in prewarning area, surface humidity, intensity of illumination, air are wet
The environmental datas such as degree and air themperature；
To arranging image acquisition point in prewarning area, carry out image acquisition every timing in 2 hours；
Carry out the image collected discoloring, the segmentation of noise reduction, edge strengthening, image and binary conversion treatment；
To the area of image zooming-out fruit piercing moth after processing, girth, complexity, elongation, rectangular degree,
Equivalent circular area radius, feeler and the characteristic parameter such as the area ratio of trunk and the constant matrix of HUShi；
The characteristic parameter obtained is compared with the data in fruit piercing moth image features data base,
Calculate the differential image quantity consistent with characteristic parameter in data base, according to image acquisition point in prewarning area
Quantity and the area relationship of prewarning area, calculate fruit piercing moth quantity；
The quantity and environmental data phase every day with nearest one week respectively by fruit piercing moth quantity, environmental data
Relatively, it is judged that whether fruit piercing moth quantity has increase trend and make early warning.
The present invention is by contrasting, to fruit piercing moth in pre-police region the every day of fruit piercing moth image features
Every day, the change of quantity carried out Statistic analysis, and then judged whether fruit piercing moth quantity has be significantly increased to become
Gesture, early warning is quickly made in the outburst to fruit piercing moth.
As employed some vocabulary in the middle of description and claim to censure special component or method.This
Skilled person is it is to be appreciated that same composition may be called with different nouns in different regions.This
In the way of description and claim not difference by title is used as distinguishing composition.As illustrated in the whole text
" comprising " mentioned in the middle of book and claim is an open language, therefore should be construed to " comprise but do not limit
Schedule "." substantially " refer to that, in receivable range of error, those skilled in the art can be at certain error
In the range of solve described technical problem, basically reach described technique effect.Description subsequent descriptions is for implementing
The better embodiment of the present invention, for the purpose of right described description is the rule so that the present invention to be described, and
It is not used to limit the scope of the present invention.Protection scope of the present invention when regard the defined person of claims as
Accurate.
Also, it should be noted term " includes ", " comprising " or its any other variant are intended to non-
Comprising of exclusiveness, so that include that the commodity of a series of key element or system not only include that those are wanted
Element, but also include other key elements being not expressly set out, or also include for this commodity or be
Unite intrinsic key element.In the case of there is no more restriction, statement " including ... " limit
Key element, it is not excluded that there is also other identical element in the commodity including described key element or system.
Described above illustrate and describes some preferred embodiments of the present invention, but as previously mentioned, it should reason
Solve the present invention and be not limited to form disclosed herein, be not to be taken as the eliminating to other embodiments,
And can be used for various other combination, amendment and environment, and can in invention contemplated scope described herein,
It is modified by above-mentioned teaching or the technology of association area or knowledge.And those skilled in the art are carried out changes
Move and change is without departing from the spirit and scope of the present invention, the most all should be in the protection of claims of the present invention
In the range of.
Claims (6)
1. the quick method for early warning of fruit piercing moth, it is characterised in that comprise the following steps:
The image features of fruit piercing moth is set up data base；
Collect the environmental data in prewarning area；
To arranging image acquisition point in described prewarning area, timing carries out image acquisition；
The image collected is processed；
To the image zooming-out characteristic parameter after processing；
The characteristic parameter obtained is compared with the data in fruit piercing moth image features data base,
Calculate the differential image quantity consistent with characteristic parameter in described data base, scheme according in described prewarning area
As quantity and the area relationship of described prewarning area of collection point, calculate fruit piercing moth quantity；
The quantity and environment every day with nearest one week respectively by described fruit piercing moth quantity, described environmental data
Data are compared, it is judged that whether fruit piercing moth quantity has increase trend and make early warning.
2. the quick method for early warning of fruit piercing moth as claimed in claim 1, it is characterised in that described ring
Border data include surface temperature, surface humidity, intensity of illumination, air humidity and air themperature.
3. the quick method for early warning of fruit piercing moth as claimed in claim 2, it is characterised in that described fixed
Time time interval be the arbitrary integer between 1-24.
4. the quick method for early warning of fruit piercing moth as claimed in claim 3, it is characterised in that described figure
As process include discoloring, the segmentation of noise reduction, edge strengthening, image and binaryzation.
5. the quick method for early warning of fruit piercing moth as claimed in claim 4, it is characterised in that described in carry
Take characteristic parameter and include fruit piercing moth morphological feature and the constant matrix character of HUShi.
6. the quick method for early warning of fruit piercing moth as claimed in claim 5, it is characterised in that described shape
State feature includes area, girth, complexity, elongation, rectangular degree, equivalent circular area radius, touches
Angle and the area ratio of trunk.
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| Application Number | Priority Date | Filing Date | Title |
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| CN201610273725.7A CN105894131A (en) | 2016-04-28 | 2016-04-28 | Fruit-piercing moth rapid early-warning method |
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| CN201610273725.7A CN105894131A (en) | 2016-04-28 | 2016-04-28 | Fruit-piercing moth rapid early-warning method |
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Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106446915A (en) * | 2016-09-30 | 2017-02-22 | 广东石油化工学院 | System for quickly identifying fruit-piercing moths based on transcendental analysis |
| CN109472883A (en) * | 2018-09-27 | 2019-03-15 | 中国农业大学 | Patrol pool method and apparatus |
| CN111291702A (en) * | 2020-02-20 | 2020-06-16 | 北京嘉景生物科技有限责任公司 | Identification method for distinguishing locust species by image recognition technology |
| CN113689034A (en) * | 2021-08-19 | 2021-11-23 | 云南省气候中心(云南省生态气象和卫星遥感中心) | Method for comprehensively predicting growth suitability of spodoptera frugiperda |
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| CN102706877A (en) * | 2012-06-06 | 2012-10-03 | 石河子大学 | Portable detecting system for diseases and insect pests of cotton and detecting method |
| CN103177266A (en) * | 2013-04-07 | 2013-06-26 | 青岛科技大学 | Intelligent stock pest identification system |
| CN103210896A (en) * | 2013-04-19 | 2013-07-24 | 北京理工大学 | Greenhouse tomato injurious insect intelligent monitoring and trapping system |
| CN103345634A (en) * | 2013-07-29 | 2013-10-09 | 湖南省植物保护研究所 | Automatic identification method for common vegetable insects on yellow board |
-
2016
- 2016-04-28 CN CN201610273725.7A patent/CN105894131A/en active Pending
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102706877A (en) * | 2012-06-06 | 2012-10-03 | 石河子大学 | Portable detecting system for diseases and insect pests of cotton and detecting method |
| CN103177266A (en) * | 2013-04-07 | 2013-06-26 | 青岛科技大学 | Intelligent stock pest identification system |
| CN103210896A (en) * | 2013-04-19 | 2013-07-24 | 北京理工大学 | Greenhouse tomato injurious insect intelligent monitoring and trapping system |
| CN103345634A (en) * | 2013-07-29 | 2013-10-09 | 湖南省植物保护研究所 | Automatic identification method for common vegetable insects on yellow board |
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106446915A (en) * | 2016-09-30 | 2017-02-22 | 广东石油化工学院 | System for quickly identifying fruit-piercing moths based on transcendental analysis |
| CN109472883A (en) * | 2018-09-27 | 2019-03-15 | 中国农业大学 | Patrol pool method and apparatus |
| CN111291702A (en) * | 2020-02-20 | 2020-06-16 | 北京嘉景生物科技有限责任公司 | Identification method for distinguishing locust species by image recognition technology |
| CN113689034A (en) * | 2021-08-19 | 2021-11-23 | 云南省气候中心(云南省生态气象和卫星遥感中心) | Method for comprehensively predicting growth suitability of spodoptera frugiperda |
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Application publication date: 20160824 |