CN112042449A - Method for controlling aphids in apple orchard based on Chinese rice lacewing - Google Patents
Method for controlling aphids in apple orchard based on Chinese rice lacewing Download PDFInfo
- Publication number
- CN112042449A CN112042449A CN202010983337.4A CN202010983337A CN112042449A CN 112042449 A CN112042449 A CN 112042449A CN 202010983337 A CN202010983337 A CN 202010983337A CN 112042449 A CN112042449 A CN 112042449A
- Authority
- CN
- China
- Prior art keywords
- aphid
- apple
- aphids
- chinese green
- chinese
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Classifications
-
- A—HUMAN NECESSITIES
- A01—AGRICULTURE; FORESTRY; ANIMAL HUSBANDRY; HUNTING; TRAPPING; FISHING
- A01G—HORTICULTURE; CULTIVATION OF VEGETABLES, FLOWERS, RICE, FRUIT, VINES, HOPS OR SEAWEED; FORESTRY; WATERING
- A01G13/00—Protecting plants
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N3/00—Computing arrangements based on biological models
- G06N3/02—Neural networks
- G06N3/04—Architecture, e.g. interconnection topology
- G06N3/043—Architecture, e.g. interconnection topology based on fuzzy logic, fuzzy membership or fuzzy inference, e.g. adaptive neuro-fuzzy inference systems [ANFIS]
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N3/00—Computing arrangements based on biological models
- G06N3/02—Neural networks
- G06N3/04—Architecture, e.g. interconnection topology
- G06N3/045—Combinations of networks
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N3/00—Computing arrangements based on biological models
- G06N3/02—Neural networks
- G06N3/08—Learning methods
Landscapes
- Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- General Health & Medical Sciences (AREA)
- Health & Medical Sciences (AREA)
- Life Sciences & Earth Sciences (AREA)
- Software Systems (AREA)
- General Physics & Mathematics (AREA)
- Computing Systems (AREA)
- Artificial Intelligence (AREA)
- Data Mining & Analysis (AREA)
- Molecular Biology (AREA)
- Computational Linguistics (AREA)
- General Engineering & Computer Science (AREA)
- Biophysics (AREA)
- Mathematical Physics (AREA)
- Biomedical Technology (AREA)
- Evolutionary Computation (AREA)
- Automation & Control Theory (AREA)
- Computational Mathematics (AREA)
- Fuzzy Systems (AREA)
- Mathematical Analysis (AREA)
- Mathematical Optimization (AREA)
- Pure & Applied Mathematics (AREA)
- Toxicology (AREA)
- Environmental Sciences (AREA)
- Catching Or Destruction (AREA)
Abstract
The invention discloses a method for controlling aphids in an apple orchard based on Chinese green lacewing, which comprises the following steps: s1, planting alfalfa in the apple tree rows at intervals to form a combined alfalfa and natural grass growing mode; s2, evaluating the occurrence degree of aphids based on the aphid traces on the apple trees, and meanwhile, estimating the quantity and distribution condition of the chrysopa sinica in the apple orchard by adopting a five-point sampling method; s3, calculating the quantity of the Chinese green lacewing to be released based on the evaluation result of the aphid occurrence degree of the apple tree and the quantity of the Chinese green lacewing in the apple orchard corresponding to the current situation; and S4, selecting an area with less Chinese green lacewing distribution as a release point of the Chinese green lacewings based on the distribution condition of the Chinese green lacewings, and releasing the quantity of the Chinese green lacewings according to the calculated quantity of the Chinese green lacewings. The method can realize the control of aphids in apple orchard, and greatly reduces the usage amount of chemical pesticides.
Description
Technical Field
The invention relates to the technical field of agricultural pest control, in particular to a method for controlling aphids in an apple orchard based on Chinese rice lacewing flies.
Background
Apple aphids are one of important factors restricting apple production in China, and chemical control is mainly used for controlling the apple aphids at present, so that the problems of reduction of natural enemies and overproof pesticide residues caused by dependence on chemical pesticides for controlling pests are scientifically and reasonably solved, and an effective and environment-friendly pest control method is an urgent need facing apple production in China at present.
Disclosure of Invention
In order to solve the problems, the invention provides a method for controlling aphids in an apple orchard based on chrysopa sinica, which makes full use of the effect of natural enemies of the aphids, namely chrysopa sinica, and greatly reduces the usage amount of chemical pesticides while realizing the control of the aphids in the apple orchard.
In order to achieve the purpose, the invention adopts the technical scheme that:
a method for controlling apple orchard aphids based on Chinese green sand flies comprises the following steps:
s1, planting alfalfa in the apple tree rows at intervals to form a combined alfalfa and natural grass growing mode;
s2, evaluating the occurrence degree of aphids based on the aphid traces on the apple trees, and meanwhile, estimating the quantity and distribution condition of the chrysopa sinica in the apple orchard by adopting a five-point sampling method;
s3, calculating the quantity of the Chinese green lacewing to be released based on the evaluation result of the aphid occurrence degree of the apple tree and the quantity of the Chinese green lacewing in the apple orchard corresponding to the current situation;
and S4, selecting an area with less Chinese green lacewing distribution as a release point of the Chinese green lacewings based on the distribution condition of the Chinese green lacewings, and releasing the quantity of the Chinese green lacewings according to the calculated quantity of the Chinese green lacewings.
Further, in the step S1, the number of pulses per 667m21.0-2.0 kg of alfalfa seeds are needed, only alfalfa flowers are reserved in 4-6 months, and part of natural weeds with low water and fertilizer consumption are reserved after 7 months.
Further, in step S2, fixed-point collection of the apple tree image set is firstly achieved by an unmanned aerial vehicle, identification of aphid traces in the apple tree image set is achieved based on a Faster R-CNN model, the aphid traces include aphid traces, aphid egg traces and leaf curl traces, statistics of aphid trace number, calculation of aphid egg trace area and statistics of leaf curl trace number are achieved, and evaluation of the current aphid occurrence degree is achieved based on a fuzzy neural network algorithm according to the total aphid trace number, the total number of leaf curl traces and the aphid egg trace area.
Further, the apple tree images collected by the unmanned aerial vehicle all carry POS data, and therefore, the current aphid occurrence degree results obtained in step S2 all carry corresponding geographical location parameters.
Further, the step S3 is to calculate the number of sand flies to be released according to the evaluation result of the occurrence degree of the aphids of the apple tree and the current corresponding number of sand flies to be released in the apple orchard based on the fuzzy neural network algorithm.
Further, when the estimated aphid occurrence degree obtained in step S2 falls within the preset threshold, the chemical pesticide harmless to chrysopa sinica is first used to control the aphids, and when the aphids are controlled within the preset threshold, the chrysopa sinica can be released.
Furthermore, the fuzzy neural network algorithm is obtained by learning based on historical apple aphid occurrence degree and the amount of Chinese green sand flies required correspondingly.
The invention has the following beneficial effects:
through the artificial planting alfalfa, form the mixed grass mode that alfalfa and natural grass combined together in the apple orchard, for the natural enemy provides food and habitat, then carry out the release of treating release chinese green lacewing based on the aassessment result of apple tree aphid emergence degree and the current interior chinese green lacewing quantity of apple orchard that corresponds to make chinese green lacewing quantity in the orchard be in a comparatively reasonable level all the time, reach the mesh of continuous control apple pest harm.
Detailed Description
The present invention will be described in detail with reference to specific examples. The following examples will assist those skilled in the art in further understanding the invention, but are not intended to limit the invention in any way. It should be noted that variations and modifications can be made by persons skilled in the art without departing from the spirit of the invention. All falling within the scope of the present invention.
The embodiment of the invention provides a method for controlling aphids in an apple orchard based on chrysopa sinica, which comprises the following steps:
s1, planting alfalfa in the apple tree rows at intervals to form a combined alfalfa and natural grass growing mode;
s2, regularly estimating the occurrence degree of aphids based on the aphid traces on the apple trees, and estimating the quantity and distribution condition of the chrysopa sinica in the apple orchard by adopting a five-point sampling method;
s3, calculating the quantity of the Chinese green lacewing to be released based on the evaluation result of the aphid occurrence degree of the apple tree and the quantity of the Chinese green lacewing in the apple orchard corresponding to the current situation;
and S4, selecting an area with less Chinese green lacewing distribution as a release point of the Chinese green lacewings based on the distribution condition of the Chinese green lacewings, and releasing the quantity of the Chinese green lacewings according to the calculated quantity of the Chinese green lacewings.
In this embodiment, in step S1, each 667m21.0-2.0 kg of alfalfa seeds are needed, only the alfalfa seeds are reserved in 4-6 months, and the amount of the alfalfa seeds is 7 months laterAnd then, part of natural weeds with low water and fertilizer consumption are reserved, and weeds which compete for rich water with apple trees strongly are removed in an artificial weed pulling mode. The alfalfa is completely and manually mowed for 2 times, the height of the remained stubble is about 15cm, the natural weeds are mechanically mowed for 2 times, the height of the remained stubble is about 10cm, the cut alfalfa and the natural weeds are remained between apple lines, and the alfalfa and the natural grass growing area are kept consistent by other management measures.
In this embodiment, in step S2, fixed-point collection of an apple tree image set is first achieved by an unmanned aerial vehicle, identification of aphid traces in the apple tree image set is then achieved based on an Faster R-CNN model, the aphid traces include aphid traces, aphid egg traces, and leaf curl traces, statistics of aphid trace number, calculation of aphid egg trace area, and statistics of leaf curl trace number are then achieved, and finally assessment of the current aphid occurrence degree is achieved based on a fuzzy neural network algorithm according to the total aphid trace amount, the total number of leaf curl traces, and the aphid egg trace area.
In this embodiment, the apple tree images collected by the unmanned aerial vehicle all carry POS data, and therefore, the current aphid occurrence degree results obtained in step S2 all carry corresponding geographical location parameters.
In this embodiment, in step S2:
the investigation of the Chinese green lacewing lacerated lacewings on the apple crown adopts a visual observation method, during the investigation, 5 points of diagonal lines are sampled, 2 apple trees with full crowns are selected at each point, 1-2-year-old lateral branches with new tips at the top ends and equivalent growth vigor are respectively selected in four directions of E/W/S/N of each apple tree, the tree is marked with a hang tag, and the front and back surfaces of all leaves and the Chinese green lacewing lacewings on a trunk within the length range of 1-1.2 cm from the top tips of the selected lateral branches are observed visually;
the sand fly of Chinese Tetrastigma Hemsleyae on the raw grass is investigated by a net sweeping method after the dew is dried in the morning. During investigation, sampling is carried out at 5 points, the insect catching net is used for walking and sweeping on the raw grass among the apple tree rows, the nets are continuously swept, the insect catching net is close to the ground as much as possible, the net is swept 20 times at each point, one net is counted back and forth, and the quantity of the chrysopa sinensis in the insect catching net is recorded.
In this embodiment, in step S3, the number of chrysopa sinica flies to be released is calculated based on the fuzzy neural network algorithm according to the evaluation result of the aphid occurrence degree of the apple tree and the current corresponding chrysopa sinica amount in the apple orchard. The fuzzy neural network algorithm is obtained by learning based on historical apple aphid occurrence degree and the amount of Chinese green sand flies required correspondingly.
In this embodiment, when the estimated aphid occurrence degree obtained in step S2 falls within the preset threshold, the chemical pesticide harmless to chrysopa sinica is first used to control the aphids, and when the aphids are controlled within the preset threshold, the chrysopa sinica can be released.
The foregoing description of specific embodiments of the present invention has been presented. It is to be understood that the present invention is not limited to the specific embodiments described above, and that various changes or modifications may be made by one skilled in the art within the scope of the appended claims without departing from the spirit of the invention. The embodiments and features of the embodiments of the present application may be combined with each other arbitrarily without conflict.
Claims (7)
1. A method for controlling aphids in apple orchard based on chrysopa sinica is characterized by comprising the following steps: the method comprises the following steps:
s1, planting alfalfa in the apple tree rows at intervals to form a combined alfalfa and natural grass growing mode;
s2, evaluating the occurrence degree of aphids based on the aphid traces on the apple trees, and meanwhile, estimating the quantity and distribution condition of the chrysopa sinica in the apple orchard by adopting a five-point sampling method;
s3, calculating the quantity of the Chinese green lacewing to be released based on the evaluation result of the aphid occurrence degree of the apple tree and the quantity of the Chinese green lacewing in the apple orchard corresponding to the current situation;
and S4, selecting an area with less Chinese green lacewing distribution as a release point of the Chinese green lacewings based on the distribution condition of the Chinese green lacewings, and releasing the quantity of the Chinese green lacewings according to the calculated quantity of the Chinese green lacewings.
2. The method of claim 1, wherein apple orchard aphid control is based on green chrysopa sinensisA method of killing an insect, comprising: in the above step S1, each 667m21.0-2.0 kg of alfalfa seeds are needed, only alfalfa flowers are reserved in 4-6 months, and part of natural weeds with low water and fertilizer consumption are reserved after 7 months.
3. The method for controlling apple orchard aphids based on chrysopa sinica according to claim 1, characterized in that: in the step S2, fixed-point collection of an apple tree image set is achieved through an unmanned aerial vehicle, recognition of aphid marks in the apple tree image set is achieved based on an Faster R-CNN model, the aphid marks comprise aphid marks, aphid egg marks and leaf curled marks, statistics of aphid mark number, calculation of aphid egg mark area and statistics of leaf curled mark number are achieved, and evaluation of current aphid occurrence degree is achieved based on a fuzzy neural network algorithm according to the total aphid marks, the total number of leaf curled marks and the aphid egg mark area.
4. The method for controlling apple orchard aphids based on chrysopa sinica according to claim 3, characterized in that: the apple tree images collected by the unmanned aerial vehicle all carry POS data, and therefore the current aphid occurrence degree results obtained in the step S2 all carry corresponding geographic position parameters.
5. The method for controlling apple orchard aphids based on chrysopa sinica according to claim 1, characterized in that: and step S3, calculating the quantity of the Chinese sand flies to be released according to the evaluation result of the aphid occurrence degree of the apple trees and the quantity of the Chinese sand flies in the apple orchard corresponding to the evaluation result based on the fuzzy neural network algorithm.
6. The method for controlling apple orchard aphids based on chrysopa sinica according to claim 1, characterized in that: when the aphid occurrence degree evaluation result obtained in step S2 falls within the preset threshold, the chemical pesticide harmless to chrysopa sinica is required to be firstly used to control the aphids, and when the aphids are controlled within the preset threshold, the chrysopa sinica can be released.
7. The method for controlling apple orchard aphids based on chrysopa sinica according to claim 1, characterized in that: the fuzzy neural network algorithm is obtained by learning based on historical apple aphid occurrence degree and the amount of Chinese green sand flies required correspondingly.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010983337.4A CN112042449A (en) | 2020-09-17 | 2020-09-17 | Method for controlling aphids in apple orchard based on Chinese rice lacewing |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010983337.4A CN112042449A (en) | 2020-09-17 | 2020-09-17 | Method for controlling aphids in apple orchard based on Chinese rice lacewing |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN112042449A true CN112042449A (en) | 2020-12-08 |
Family
ID=73603732
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202010983337.4A Pending CN112042449A (en) | 2020-09-17 | 2020-09-17 | Method for controlling aphids in apple orchard based on Chinese rice lacewing |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN112042449A (en) |
Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102067804A (en) * | 2010-01-20 | 2011-05-25 | 中国农业科学院植物保护研究所 | Method for harmlessly controlling wheat aphid |
| CN105284495A (en) * | 2015-10-28 | 2016-02-03 | 中国农业大学 | Method for preventing and treating schizaphis piricola by using chrysopa sinica |
| CN107194418A (en) * | 2017-05-10 | 2017-09-22 | 中国科学院合肥物质科学研究院 | A kind of Aphids in Rice Field detection method based on confrontation feature learning |
| CN108934677A (en) * | 2018-06-08 | 2018-12-07 | 山东农业大学 | A kind of method that apple orchard mixing sward attracts breeding natural enemy prevention and treatment Apple Pests |
| CN109191074A (en) * | 2018-08-27 | 2019-01-11 | 宁夏大学 | Wisdom orchard planting management system |
| CN110852398A (en) * | 2019-11-18 | 2020-02-28 | 河南农业大学 | Cotton aphid identification method based on convolutional neural network |
| CN110852282A (en) * | 2019-11-13 | 2020-02-28 | 榆林学院 | Farmland disease monitoring system based on machine vision |
-
2020
- 2020-09-17 CN CN202010983337.4A patent/CN112042449A/en active Pending
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102067804A (en) * | 2010-01-20 | 2011-05-25 | 中国农业科学院植物保护研究所 | Method for harmlessly controlling wheat aphid |
| CN105284495A (en) * | 2015-10-28 | 2016-02-03 | 中国农业大学 | Method for preventing and treating schizaphis piricola by using chrysopa sinica |
| CN107194418A (en) * | 2017-05-10 | 2017-09-22 | 中国科学院合肥物质科学研究院 | A kind of Aphids in Rice Field detection method based on confrontation feature learning |
| CN108934677A (en) * | 2018-06-08 | 2018-12-07 | 山东农业大学 | A kind of method that apple orchard mixing sward attracts breeding natural enemy prevention and treatment Apple Pests |
| CN109191074A (en) * | 2018-08-27 | 2019-01-11 | 宁夏大学 | Wisdom orchard planting management system |
| CN110852282A (en) * | 2019-11-13 | 2020-02-28 | 榆林学院 | Farmland disease monitoring system based on machine vision |
| CN110852398A (en) * | 2019-11-18 | 2020-02-28 | 河南农业大学 | Cotton aphid identification method based on convolutional neural network |
Non-Patent Citations (1)
| Title |
|---|
| 杨利平等主编: "《园林花卉学》", 30 September 2017, 北京：中国农业大学出版社 * |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Best | Bird use of fencerows: implications of contemporary fencerow management practices | |
| Pritts et al. | Highbush blueberry production Guide (NRAES-55) | |
| Schlesinger et al. | Manager's handbook for black walnut | |
| CN106879423A (en) | A kind of yellow peach cultivates pest and disease damage green prevention and control method | |
| Steavenson | Multiflora rose for farm hedges | |
| JP2021108665A (en) | Control method of paddy rice pest | |
| CN107466987A (en) | A kind of Bionic trapping device and method for entrapping of live body Frankliniella occidentalis | |
| CN108739192B (en) | Safe planting method of high-quality Chinese chives | |
| CN112042449A (en) | Method for controlling aphids in apple orchard based on Chinese rice lacewing | |
| CN109661984A (en) | A kind of roxburgh anoectochilus terminal bud cultivation under woods method | |
| CN112021052A (en) | Method for preventing and controlling fruit tree hawthorn leaf mites based on combination of chemical pesticide and Chinese green lacewing | |
| CN108260488A (en) | The technical method that a kind of high yield Ginseng under Forest is fostered | |
| CN207167513U (en) | A kind of Bionic trapping device of live body Frankliniella occidentalis | |
| Ainslie | Webworms injurious to cereal and forage crops and their control | |
| Schuiling et al. | Ecology and control of Castnia dedalus, a major pest of oilpalm in Brazil | |
| Davies | Collembola injuring leaves of mangold seedlings | |
| El-Shafie | The frugivorous white-eared bulbul bird, Pycnonotus leucotis depredating date fruits: Biology, feeding ecology and management | |
| Quaintance | The Apple Maggot Or" railroad Worm"(Rhagoletis [Trypeta] Pomonella Walsh.) | |
| Ladd | Controlling the Japanese beetle | |
| Black | Animal damage management handbook | |
| Carroll et al. | Hummingbirds can reduce spotted wing drosophila (SWD) fruit infestation | |
| Shivanna et al. | Seedling recruitment | |
| Muza | Three Steps to Manage Grape Berry Moth | |
| Torrano et al. | The effect of herbicide and goats on survival and seed production of Illyrian thistle (Onopordum illyricum L.) | |
| Alberts | Defining economical action levels for avocado bugs (Miridae) and the use of area wide IPMK to warn growers of possible outbreaks |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| RJ01 | Rejection of invention patent application after publication | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20201208 |