CN103210896A - Greenhouse tomato injurious insect intelligent monitoring and trapping system - Google Patents
Greenhouse tomato injurious insect intelligent monitoring and trapping system Download PDFInfo
- Publication number
- CN103210896A CN103210896A CN2013101367719A CN201310136771A CN103210896A CN 103210896 A CN103210896 A CN 103210896A CN 2013101367719 A CN2013101367719 A CN 2013101367719A CN 201310136771 A CN201310136771 A CN 201310136771A CN 103210896 A CN103210896 A CN 103210896A
- Authority
- CN
- China
- Prior art keywords
- insect
- pest
- greenhouse
- tomato
- sticking plate
- 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
Images
Abstract
The invention discloses a greenhouse tomato injurious insect intelligent monitoring and trapping system. The system comprises an insect sticking plate, a high-resolution-ratio camera, an image processing module, an expert decision making system and a static deinsectizing lamp which are sequentially connected. The expert decision making system comprises a knowledge base, a data base, a reasoning mechanism, a control module and a display module. Both image collecting and switching-on and switching-off control of the multifunctional static deinsectizing lamp are executed automatically, and therefore labor amount of greenhouse workers is lowered, types of injurious insects inside a greenhouse can be accurately and quickly recognized, increase number of the injurious insects is determined, and influences from subjective factor like worker experience and moods are effectively avoided.
Description
Technical field
The present invention relates to agriculture deinsectization technical field, relate in particular to a kind of greenhouse tomato insect intellectual monitoring and trapping system.
Background technology
China is the big country of greenhouse production, and the gross area ranks first in the world, and vegetables are topmost raise crops in China greenhouse, and wherein tomato is one of main plantation class, accounts for the greenhouse culture gross area 20-30% greatly.In recent years, domestic and international demand to tomato and goods thereof was ever-increasing trend.
China is in the method for observing and predicting of continuing to use the manual identification counting aspect the greenhouse worm monitoring for a long time, its efficient, accuracy and ageing and to observe and predict personnel's overall qualities closely related can not reflect the true distribution situation of insect objective, in time, is unfavorable for the comprehensive regulation of pest.In recent years, because aphid, trialeurodes vaporariorum take place seriously in tomato in plastic greenhouse is cultivated, no matter a lot of vegetable growers ill anosis, just sprayed 1 time medicine every 7～10 days for pre-disease prevention generation early.But, produce the purpose of tomato and just will not get bumper crops, but edible for people, that the guarantor's is healthy.Chemical control is when insect pest is serious, when other measure can not prove effective fully, and the unavoidable measure of taking.Lavishment agricultural chemicals when finding insect causes cost to rise, environmental pollution, and the quality and quantity of product does not reach the set goal, so press for the technological guidance that the professional gives science, standard.When prevention vegetables damage by disease and insect, the spray medicine should become last link, rather than first-selected and unique selection.
Yet greenhouse culture the managerial expert only occupy the minority after all, and the effect that they can bring into play is very limited.How under greenhouse management expert quantity can't increase with the situation of satisfying the demand fast, utilize artificial intelligence technologys such as image processing, expert decision system to set up the aid decision-making system of plant growth control and management, the management, the level of production that improve greenhouse integral body become the focus of various countries' research gradually.
Therefore be necessary to provide the method for a kind of machine recognition monitoring greenhouse tomato insect, features such as the color by insect, form, utilize technology such as computer vision, image processing and expert system to discern pest species, determine the insect pest situation and formulate the insect control strategy, this process is quick, accurate, operating process and yet simple relatively to the requirement of equipment is not influenced by personnel's subjective factors such as experience, mood.The tomato residue of pesticide have been reduced in the time of the effective pest control of method that static insect killing lamp trapping pests combines with chemical control.
Summary of the invention
The invention provides a kind of greenhouse tomato insect intellectual monitoring and trapping system, handle and expert decision system by image, carry out the identification of greenhouse insect, and adopt the mode of multi-functional static insect killing lamp trapping pests, improve control efficiency, greatly promote the production of the nuisanceless tomato of China.
The objective of the invention is to be achieved through the following technical solutions: this system comprises insect-sticking plate, high-resolution camera, image processing module, expert decision system and static insect killing lamp, links to each other successively; Expert decision system comprises knowledge base, database, inference machine, control module and display module; Wherein database links to each other respectively with image processing module, inference machine, and inference machine links to each other respectively with control module, display module, knowledge base;
Insect-sticking plate hangs in each tomato greenhouse, and the lower end is higher than crop top 15-20cm, is used to lure sticking insect;
High-resolution camera is arranged in each tomato greenhouse, and hanging position is corresponding with the insect-sticking plate position; Described camera is provided with 18:00 camera Auto Power On every day, and start back automatic camera is clapped picture with institute and is sent to image processing module;
Image processing module is handled the picture that receives, and identifies each class pest form, color and quantitative value on the insect-sticking plate and is transferred to database in the expert decision system;
Database in the expert decision system is stored each class pest form, color and quantitative value that image processing module sends; And the The reasoning results that the inference machine in the expert decision system is each is stored;
Inference machine in the expert decision system, at first go data base call each class pest form and color, according to each class pest form and color pest species is carried out forward reasoning: select suitable target pest kind by the framework in each class pest form of data base call and color and the knowledge base, the forward reasoning result is stored in the database; And then carry out backward reasoning: according to the selected targeted species of forward reasoning form and the color characteristic of insect in the corresponding knowledge base, judge whether consistent with the insect form and the colouring information of database storage, if information unanimity, show that the forward reasoning result is correct, if information inconsistency then carries out forward reasoning again; Inference machine goes all kinds of number of pest information of data base call then, infer all kinds of pest densities according to quantitative value, formulate control strategy according to the method for preventing and treating of storing in the knowledge base, promptly determine whether to make with medicament and static insect killing lamp to open quantity and the time sends to control module and display module;
Knowledge base, tomato insect information is stored with frame structure, and each framework has a frame name, and this frame name is expressed the category information of insect, below frame name,, comprise distribution and harm, morphological feature, pests occurrence rule and prevent and treat method the description of the specifying information of such insect;
Control module, the control strategy control static insect killing lamp of mechanism's formulation by inference;
Display module shows the The reasoning results and the control strategy of inference machine.
Beneficial effect of the present invention:
(1) the present invention is by the sticking insect-sticking plate picture that has sticked the class micro pest that circles in the air of high-resolution camera collection, picture background is clear, color contrast is obvious, avoided insect attached to making the picture feature value be difficult for situation about extracting on the tomato plant, improved the insect discrimination power greatly, be beneficial to further image and handle, promote insect identification accuracy rate.
(2) worm monitoring of the present invention obtains by image processing and expert decision system with the trapping policy development, control is and automatically performs from IMAQ to multi-functional static insect killing lamp switch, reduced greenhouse staff's the amount of labour, can be accurately, pest species and determine number of pest every day in the quick identification greenhouse, and effectively avoided subjective emotion influences such as personnel's experience, mood.
(3) IMAQ of the present invention is for once a day, and promptly the high-resolution camera working time lacks, and all the other times are in resting state, and control multi-functional static insect killing lamp working quantity, time according to insect pest situation information, effectively saves energy.
Take all factors into consideration tomato growth puberty and environmental factor when (4) expert decision system of the present invention is formulated the control of insect strategy.Determine on the insect-sticking plate of different insect killing lamp control strategy correspondences the insect increment size according to the different growth and development stages of tomato and whether make with medicament, maximal efficiency ground kill pests reduces injury and the residue of pesticide of insect to tomato plant.Formulate corresponding control strategy according to aphid, the trialeurodes vaporariorum growth and breeding ability under different temperatures, damp condition, effectively pre-insect-pest large tracts of land outburst.
Description of drawings
Fig. 1 for the greenhouse circle in the air class micro pest intellectual monitoring with the trapping system construction drawing.
Fig. 2 for the greenhouse circle in the air class micro pest intellectual monitoring with the trapping system flow chart.
Fig. 3 is the basic structure of expert decision system.
Embodiment
In order to understand technical scheme of the present invention better, below in conjunction with drawings and the specific embodiments the present invention is done to describe in further detail.
The invention provides a kind of greenhouse tomato insect intellectual monitoring and trapping system, can be accurately, pest species and determine pest density in the quick identification greenhouse, control multi-functional static insect killing lamp according to insect pest situation information and open quantity and time.This process greatly reduces staff's labour intensity, and has effectively avoided subjective emotion influences such as personnel's experience, mood; Because greenhouse insect information change is not instantaneous, so worm monitoring and is controlled multi-functional static insect killing lamp working quantity according to insect pest situation for once a day among the present invention, raising pest trap effect in the time of effective energy savings.
As shown in Figure 1, this system comprises insect-sticking plate, high-resolution camera, image processing module, expert decision system and static insect killing lamp, links to each other successively; As shown in Figure 3, expert decision system comprises knowledge base, database, inference machine, control module and display module; Wherein database links to each other respectively with image processing module, inference machine, and inference machine links to each other respectively with control module, display module, knowledge base.
Hang 20cm * 30cm insect-sticking plate in each greenhouse, the insect-sticking plate lower end is higher than crop top 15-20cm; Insect-sticking plate selects yellow to lure the worm insect-sticking plate among the present invention, and modal aphid, trialeurodes vaporariorum etc. in the greenhouse tomato are had positive effect, begins to hang from crops seedling stage.Adopt insect-sticking plate to lure the mode of sticking insect, insect is evenly distributed in the greenhouse, and institute's image data is representative.
In each greenhouse high-resolution camera is set, hanging position is corresponding with the insect-sticking plate position, and timed power on/off software is installed in camera, and 18:00 camera Auto Power On every day is set, and start back automatic camera is clapped picture with institute and sent to image processing module; High-resolution camera has guaranteed the definition of picture, and need not to manually start camera, takes pictures, and has reduced staff's amount of labour.
Image processing module is handled the picture that receives, and identifies each class pest form, color and quantitative value on the insect-sticking plate and is transferred to database in the expert decision system.
Database in the expert decision system is stored each class pest form, color and quantitative value that image processing module sends; And the The reasoning results that the inference machine in the expert decision system is each is stored.
Inference machine in the expert decision system, at first go data base call each class pest form and color, according to each class pest form and color pest species is carried out forward reasoning: select suitable target pest kind by the framework in each class pest form of data base call and color and the knowledge base, the forward reasoning result is stored in the database; And then carry out backward reasoning: according to the selected targeted species of forward reasoning form and the color characteristic of insect in the corresponding knowledge base, judge whether consistent with the insect form and the colouring information of data base call, if information unanimity, show that the forward reasoning result is correct, if information inconsistency then carries out forward reasoning again; Inference machine calls all kinds of number of pest information in the database then, infer all kinds of pest densities according to quantitative value, formulate control strategy according to the method for preventing and treating of storing in the knowledge base (groove 4), promptly determine whether to make with medicament and static insect killing lamp to open quantity and the time sends to control module and display module.
The method that inference machine combines with backward reasoning by forward, both overcome the blindness of simple application backward reasoning select target to a certain extent, overcome the scattershot blindness of simple application forward reasoning again, accurately inferred pest species, and made effective deinsectization strategy.
Control module, the control strategy control static insect killing lamp of mechanism's formulation by inference.
Display module shows the The reasoning results and the control strategy of inference machine.
Knowledge base is stored tomato insect information with frame structure, each framework has a frame name, and this frame name is expressed the category information of insect, below frame name to the description of the specifying information of such insect.
Framework is a kind of data construction that all is stored in about all information of the common class micro pest that circles in the air in aphid, kind plantation of trialeurodes vaporariorum isothermal chamber and knowledge together, the hierarchical structure of framework is that the two dimension of knowledge is described, each framework has a frame name, below frame name to the description of the specifying information of such insect, be specially: one group of " groove " of describing the various aspects of this notion, object or incident is arranged, each groove has some " side " to form, by the example or the data institute assignment of certain type, the content of being filled in is called slot value to each groove by actual conditions.
Integrated environment factor (temperature, humidity) when the insect pest control method of storing in the knowledge base is formulated the deinsectization control strategy is formulated corresponding control strategy according to aphid, the trialeurodes vaporariorum growth and breeding ability under different temperatures, damp condition.
Knowledge base utilizes following frame structure that the modal aphid of greenhouse tomato, trialeurodes vaporariorum are represented:
Frame name: aphid
Distribute and harm (groove 1):
Aphid claims aphid, aphid etc. again, belongs to the Homoptera Aphidiadae more, is the insect of sucking mouth parts, often is clustered in positions such as blade, tender stem, bud, terminal bud, and thorn is inhaled juice, makes leaf-shrinkage, curling, lopsided, causes die back even whole strain death when serious.The honeydew of aphid secretion also can bring out sooty mould, virus disease and cause ant harm etc.
Morphological feature (groove 2):
Long 1.5～4.9 millimeters of body, most about 2 millimeters.Sometimes by the wax powder, but lack wax disk(-sc).Feeler 6 joints, minority 5 joints, rare 4 joints, the sensation ring shape, rare ellipse, base portion often is longer than in the minor details end.Eye is big, and many facets often have 3 outstanding facet optic tubercles.The beak minor details are short blunt to long point.Belly is greater than head and chest sum.Each saves the knurl of often having chance with shirtfront and belly.The common tubulose of cornical, long often greater than wide, base portion is thick, and is gradually thin to the end, and expand sometimes middle part or end, and the top is often had chance with prominent, smooth surface or have watt line or end that reticulate pattern is arranged, rare have or less or many hairs, rare cornical ring-type or scarce.Cauda cone shape, finger-type, sword shape, triangle, pentagon, helmet shape are to semilune.The terminal circle of tailgate.Epidermis is smooth, by reticulate pattern or wrinkle or the speckle formed by aculea or particle.
Pests occurrence rule (groove 3):
The fertility of aphid is very strong, can breed 10～30 generations in 1 year, and the generation overlap phenomenon is outstanding.When 5 days mean temperature of air are stable when rising to more than 12 ℃, just begin breeding.In temperature lower early spring and late fall, finish 1 and need 10 days from generation to generation, under the summer warm conditions, only need 4～5 days.The optimum aphid bred when temperature was 18～24 ℃, and arid or plant spacing be excessive to be helped aphid and cause harm.
Prevent and treat method (groove 4):
Reinforcement is observed and predicted, and accurately grasps the emergence period.Flying pest aphid in the greenhouse utilizes commonsense method to be difficult to kill, and because its ability of circling in the air makes that the spread speed of germ is very fast, order plantation family is vexed.For this reason, we have utilized several different methods to test, and have finally determined effectively to kill the multi-functional static insect killing lamp of equipment 3DJ-90 type of flying pest.Cloth extension mode adopts and is hung on 0.5m place, plant top, and 5 insect killing lamps are installed in the standard greenhouse.
If current is tomato planting 6-25 days, i.e. the mid-early stage in seedling stage, this moment, tomato true leaf number was few.Glued glutinous aphid increment on the insect-sticking plate same day and be lower than at 20 o'clock, opened wherein 2 insect killing lamps, worked at night 8 hours.Opened 3 insect killing lamps when gluing glutinous aphid increment for 20-50 on the insect-sticking plate same day, worked at night 12 hours.When glued glutinous aphid increment above 50 on the insect-sticking plate same day 5 insect killing lamps are all opened, work double tides 24 hours, and in time use chemical pesticide control.The general 3000 times of liquid of 70% Imidacloprid that adopt are sprayed, 1000 times of liquid sprayings of also available 4.5% beta-cypermethrin or 50% phoxim.If wherein the increment of trialeurodes vaporariorum surpasses 20, in above-mentioned agricultural chemicals, add 1500 times of liquid sprayings of 20% triazolone or 12.5% alkene azoles alcohol.
If current be tomato planting 26-43 days, i.e. later stage in seedling stage and blooming the setting phase, tomato true leaf number is many at this moment.Glued glutinous aphid increment on the insect-sticking plate same day and be lower than at 30 o'clock, opened wherein 2 insect killing lamps, worked at night 8 hours.Opened 3 insect killing lamps when gluing glutinous aphid increment for 30-60 on the insect-sticking plate same day, worked at night 12 hours.When glued glutinous aphid increment above 60 on the insect-sticking plate same day 5 insect killing lamps are all opened, work double tides 24 hours, and in time use chemical pesticide control.The general 3000 times of liquid of 70% Imidacloprid that adopt are sprayed, 1000 times of liquid sprayings of also available 4.5% beta-cypermethrin or 50% phoxim.If wherein the increment of trialeurodes vaporariorum surpasses 20, in above-mentioned agricultural chemicals, add 1500 times of liquid sprayings of 20% triazolone or 12.5% alkene azoles alcohol.
If currently gather to tomato for tomato planting the 44th day, i.e. fruiting period and picking time.Glued glutinous aphid increment on the insect-sticking plate same day and be lower than at 30 o'clock, opened wherein 2 insect killing lamps, worked at night 8 hours.Opened 3 insect killing lamps when gluing glutinous aphid increment for 30-50 on the insect-sticking plate same day, worked at night 12 hours.Glued glutinous aphid increment on the insect-sticking plate same day and 5 insect killing lamps were all opened work double tides 24 hours above 50 o'clock.But because tomato setting, for reduce residue of pesticide in the fruit as far as possible, can not use chemical pesticide control this moment.
If the same day, greenhouse temperature was 18-24 °, air humidity is lower than 75%, then aphid increment number in the control strategy of correspondence is reduced by 10.If the same day, greenhouse temperature was higher than 25 °, air humidity is higher than 75%, then aphid quantity in the control strategy of correspondence is increased 10.Because the thermophilic of aphid breeding is 18-24 °, suppress more than 25 ° to grow, air humidity is higher than 75% and is unfavorable for the aphid breeding.
Frame name: trialeurodes vaporariorum
Distribute and cause harm (groove 1):
Trialeurodes vaporariorum has another name called the Xiao Bai moth.Belong to the Homoptera Aleyrodidae.Be a kind of worldwide insect, all there is generation China various places, are the important pests of planting plant in greenhouse, the booth.Rasping-sucking mouthparts, adult and larva suck water, killed blade chlorisis, flavescence, wilting, even complete stool is withered.In addition, because its fertility is strong, reproduction speed is fast, and population quantity is huge, and clustering is caused harm, a large amount of sweet liquid of justacrine, and severe contamination blade and fruit often cause the big generation of sooty mould, make vegetables lose commodity value.
Morphological feature (groove 2):
Become the long 1-1.5 millimeter of polypide.Wing and thoracic dorsal drape over one's shoulders white powder, and wing closes up into ridge when stopping, and vein is simple.Long 0.2 millimeter of ovum, long oval, base portion has handle, and the primiparity pale green is draped over one's shoulders the adularescent powder, browning when closely hatching.Long 0.8 millimeter of larva body, pale green, the body back of the body has uneven in length wax silk.
Pests occurrence rule (groove 3):
In generation surplus 1 year 10 in the greenhouse, cannot survive outdoor winter.Worm attitude and position it be unclear that though survive the winter, and have become garden one major pest.The adult life-span is longer, every female worm grain surplus in the of 100 of can laying eggs, and adult has tender property, lays eggs on tender leaf.Nymph is caused harm at leaf back, can be movable in 3 days, and after thrusting leaf texture, mouthpart begins fixedly to cause harm.
Prevent and treat method (groove 4):
Reinforcement is observed and predicted, and accurately grasps the emergence period.Flying pest trialeurodes vaporariorum in the greenhouse utilizes commonsense method to be difficult to kill, and because its ability of circling in the air makes that the spread speed of germ is very fast, order plantation family is vexed.For this reason, we have utilized several different methods to test, and have finally determined effectively to kill the multi-functional static insect killing lamp of equipment 3DJ-90 type of flying pest.Cloth extension mode adopts and is hung on 0.5m place, plant top, and 5 insect killing lamps are installed in the standard greenhouse.
If current is tomato planting 6-25 days, i.e. the mid-early stage in seedling stage, this moment, tomato true leaf number was few.Glue glutinous trialeurodes vaporariorum increment on the insect-sticking plate same day and be lower than at 20 o'clock, just open wherein 2 insect killing lamps evening.Opened 3 insect killing lamps the same day when gluing glutinous trialeurodes vaporariorum increment for 20-50 on the insect-sticking plate.Glued when glutinous trialeurodes vaporariorum increment surpasses 50 on the insect-sticking plate same day and will open 5 insect killing lamps, and in time used chemical pesticide control.The general employing reached 1200 times of liquid of acetamiprid EC, 15000 times of liquid of the happy water dispersible granules of 70% Amy, 3000 times of liquid of the safe water dispersible granules of 25% Acker, 2000 times of liquid of 25% Buprofezin (buprofezin) wetting powder, 1500 times of liquid of 10% imidacloprid wettable powder and sky in 3% day and reaches 2116 sprays 1-2 time that are mixed.If wherein the increment of aphid surpasses 20, in above-mentioned agricultural chemicals, add 3000 times of liquid sprayings of 30% Imidacloprid.
If current be tomato planting 26-43 days, i.e. later stage in seedling stage and blooming the setting phase, tomato true leaf number is many at this moment.Glued glutinous trialeurodes vaporariorum increment on the insect-sticking plate same day and be lower than at 30 o'clock, opened wherein 2 insect killing lamps, worked at night 8 hours.Opened 3 insect killing lamps when gluing glutinous trialeurodes vaporariorum increment for 30-60 on the insect-sticking plate same day, worked at night 12 hours.When glued glutinous trialeurodes vaporariorum increment above 60 on the insect-sticking plate same day 5 insect killing lamps are all opened, work double tides 24 hours, and in time use chemical pesticide control.The general employing reached 1200 times of liquid of acetamiprid EC, 15000 times of liquid of the happy water dispersible granules of 70% Amy, 3000 times of liquid of the safe water dispersible granules of 25% Acker, 2000 times of liquid of 25% Buprofezin (buprofezin) wetting powder, 1500 times of liquid of 10% imidacloprid wettable powder and sky in 3% day and reaches 2116 sprays 1-2 time that are mixed.If wherein the increment of aphid surpasses 20, in above-mentioned agricultural chemicals, add 3000 times of liquid sprayings of 30% Imidacloprid.
If currently gather to tomato for tomato planting the 44th day, i.e. fruiting period and picking time.Glued glutinous trialeurodes vaporariorum increment on the insect-sticking plate same day and be lower than at 30 o'clock, opened wherein 2 insect killing lamps, worked at night 8 hours.Opened 3 insect killing lamps when gluing glutinous trialeurodes vaporariorum increment for 30-50 on the insect-sticking plate same day, worked at night 12 hours.Glued glutinous trialeurodes vaporariorum increment on the insect-sticking plate same day and 5 insect killing lamps were all opened work double tides 24 hours above 50 o'clock.But because tomato bears fruit, for reduce residue of pesticide in the fruit as far as possible, can not use chemical pesticide control this moment.
If the same day, greenhouse temperature was that 18-21 ° and air humidity are 45-55%, then trialeurodes vaporariorum increment number in the control strategy of correspondence is reduced by 10.If the same day, greenhouse temperature was higher than 15 ° and air humidity not in the 45-55% scope, then trialeurodes vaporariorum quantity in the control strategy of correspondence is increased 10.Because trialeurodes vaporariorum breeding thermophilic is 18-21 ℃.Suitable its survival of the air humidity of general 45-55%.
Knowledge base is obtained knowledge by semi-automatic mode, and promptly calculator is come into contacts with by knowledge acquisition tool-intelligent editing device same domain expert, requires arrangement knowledge according to man-machine interaction, and knowledge is represented with the frame form, and then sets up knowledge base.
Static insect killing lamp model is the multi-functional static insect killing lamp of 3DJ-90 type among the present invention, installs 5 in the standard greenhouse.The control strategy decision that the state of multi-functional static insect killing lamp is formulated by expert decision system, the static insect killing lamp then is in closed condition if do not receive the control enabling signal always.
The worm monitoring system is by hanging insect-sticking plate among the present invention, and high-resolution camera is gathered insect information on the insect-sticking plate, replaces traditional camera of installing in green house, gathers in the greenhouse insect picture on the tomato in real time; The method that this system extracts insect picture on the insect-sticking plate makes picture background clear, color contrast is obvious, helping successive image handles, avoided insect attached to making the picture feature value be difficult for situation about extracting on the tomato plant, avoided simultaneously directly that take pictures insect coverings that may occur, distortion etc. are unfavorable for the factor of successive image processing to tomato plant, improved the insect discrimination power greatly, for the expert decision system based on framework provides number of pest and color, shape information more accurately.
Because the relative homogeneity that insect distributes, only need 1～2 insect-sticking plate of placement can estimate insect pest situation in the whole greenhouse in greenhouse.Insect-sticking plate is at class pests that circles in the air such as modal aphid in tomato greenhouse and trialeurodes vaporariorums.Because greenhouse insect information change is not instantaneous, so worm monitoring is for once a day among the present invention, as shown in Figure 2, high-resolution camera 18:00 every day regularly absorbs the insect-sticking plate picture, picture is transferred to the server in control room, image processing module in the server uses existing image processing techniques to obtain quantity and the color of insect on the insect-sticking plate, shape information, with this information input expert decision system, identify pest species and insect pest situation, and draw control information according to the insect pest situation, control the quantity that multi-functional static insect killing lamp is opened, reach the optimal effectiveness of deinsectization, energy savings with the multi-functional static insect killing lamp of minimum number.The application of image processing module and expert decision system makes the identification and the result of decision not influenced by subjective factors such as staff's mood, experience, has improved the reliability of identification accuracy, identification efficient and control decision.
5 insect killing lamps are installed in the greenhouse, and wherein insect killing lamp is the multi-functional static insect killing lamp of 3DJ-90 type.The greenhouse uses and is mainly used in the class micro pests that circles in the air such as killing aphid and trialeurodes vaporariorum.Open corresponding multi-functional static insect killing lamp according to the control strategy that expert decision system is formulated, the static insect killing lamp then is in closed condition if do not receive the control enabling signal always, to guarantee when eliminating destructive insects saves energy as much as possible.
Greenhouse tomato insect intellectual monitoring of the present invention and trapping system do not use any agricultural chemicals, if successful large scale application will greatly promote the production of the nuisanceless tomato of China, produce great economy, ecological benefits.
In sum, more than be preferred embodiment of the present invention only, be not to be used to limit protection scope of the present invention.Within the spirit and principles in the present invention all, any modification of being done, be equal to replacement, improvement etc., all should be included within protection scope of the present invention.
Claims (5)
1. greenhouse tomato insect intellectual monitoring and trapping system is characterized in that this system comprises insect-sticking plate, high-resolution camera, image processing module, expert decision system and static insect killing lamp, link to each other successively; Expert decision system comprises knowledge base, database, inference machine, control module and display module; Wherein database links to each other respectively with image processing module, inference machine, and inference machine links to each other respectively with control module, display module, knowledge base;
Insect-sticking plate hangs in each tomato greenhouse, and the lower end is higher than crop top 15-20cm, is used to lure sticking insect;
High-resolution camera is arranged in each tomato greenhouse, and hanging position is corresponding with the insect-sticking plate position; Described camera is provided with 18:00 Auto Power On every day, and start back automatic camera is clapped picture with institute and is sent to image processing module;
Image processing module is handled the picture that receives, and identifies each class pest form, color and quantitative value on the insect-sticking plate and is transferred to database in the expert decision system;
Database in the expert decision system is stored each class pest form, color and quantitative value that image processing module sends; And the The reasoning results that the inference machine in the expert decision system is each is stored;
Inference machine in the expert decision system, at first call each class pest form and color in the database, according to each class pest form and color pest species is carried out forward reasoning: select suitable target pest kind by the framework in each class pest form of data base call and color and the knowledge base, the forward reasoning result is stored in the database; And then carry out backward reasoning: according to the selected targeted species of forward reasoning form and the color characteristic of insect in the corresponding knowledge base, judge whether consistent with the insect form and the colouring information of data base call, if information unanimity, show that the forward reasoning result is correct, if information inconsistency then carries out forward reasoning again; Inference machine goes all kinds of number of pest information of data base call then, infer all kinds of pest densities according to quantitative value, formulate control strategy according to the method for preventing and treating of storing in the knowledge base, promptly determine whether to make with medicament and static insect killing lamp to open quantity and the time sends to control module and display module;
Knowledge base, tomato insect information is stored with frame structure, and each framework has a frame name, and this frame name is expressed the category information of insect, below frame name,, comprise distribution and harm, morphological feature, pests occurrence rule and prevent and treat method the description of the specifying information of such insect;
Control module, the control strategy control static insect killing lamp of mechanism's formulation by inference;
Display module shows the The reasoning results and the control strategy of inference machine.
2. a kind of greenhouse tomato insect intellectual monitoring as claimed in claim 1 and trapping system is characterized in that, described insect-sticking plate is yellow, and specification is 20cm * 30cm.
3. a kind of greenhouse tomato insect intellectual monitoring as claimed in claim 1 and trapping system is characterized in that, the static insect killing lamp is the multi-functional static insect killing lamp of 3DJ-90 type.
4. a kind of greenhouse tomato insect intellectual monitoring as claimed in claim 1 and trapping system, it is characterized in that, the insect pest control method of storing in the described knowledge base makes with medicament when using insect killing lamp in seedling stage with when blooming that the setting phase, insect pest situation was serious, does not then make fruiting period and picking time with medicament fully.
5. a kind of greenhouse tomato insect intellectual monitoring as claimed in claim 1 and trapping system, it is characterized in that the insect pest control method of storing in the described knowledge base is determined insect increment size on the insect-sticking plate of different insect killing lamp control strategy correspondences according to the different growth and development stages of tomato; The insect increment critical value of different insect killing lamp control strategies is 20 in mid-early stage in seedling stage; Insect increment critical value at the later stage in seedling stage and the different insect killing lamp control strategies of setting phase of blooming is 30.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN2013101367719A CN103210896A (en) | 2013-04-19 | 2013-04-19 | Greenhouse tomato injurious insect intelligent monitoring and trapping system |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN2013101367719A CN103210896A (en) | 2013-04-19 | 2013-04-19 | Greenhouse tomato injurious insect intelligent monitoring and trapping system |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN103210896A true CN103210896A (en) | 2013-07-24 |
Family
ID=48809346
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN2013101367719A Pending CN103210896A (en) | 2013-04-19 | 2013-04-19 | Greenhouse tomato injurious insect intelligent monitoring and trapping system |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN103210896A (en) |
Cited By (26)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103749416A (en) * | 2014-02-15 | 2014-04-30 | 福建农林大学 | Oriented monitoring, preventing and controlling system for pests |
| CN103782770A (en) * | 2014-01-27 | 2014-05-14 | 内蒙古田野餐桌现代农业有限责任公司 | Method for green planting of greenhouse tomatoes |
| CN104023053A (en) * | 2014-05-27 | 2014-09-03 | 浙江拜肯生物科技有限公司 | Insect condition forecasting system by using pheromone for counting |
| CN104186449A (en) * | 2014-08-15 | 2014-12-10 | 北京农业信息技术研究中心 | Pest monitoring system capable of automatically replacing pest sticky board and monitoring method |
| CN104996382A (en) * | 2015-08-20 | 2015-10-28 | 哈尔滨市汇精源农机制造有限公司 | Farmland monitoring system provided with insect-killing lamp |
| CN105067482A (en) * | 2015-08-12 | 2015-11-18 | 中粮屯河种业有限公司 | Method for rapidly identifying high-viscosity tomato variety |
| CN105636436A (en) * | 2014-09-24 | 2016-06-01 | 上海星让实业有限公司 | Smart imaging system and insect-trapping apparatus provided with same |
| CN105894131A (en) * | 2016-04-28 | 2016-08-24 | 广东石油化工学院 | Fruit-piercing moth rapid early-warning method |
| CN106254820A (en) * | 2016-07-22 | 2016-12-21 | 北京小米移动软件有限公司 | The method and device of biological treating |
| CN106598115A (en) * | 2016-11-03 | 2017-04-26 | 广州凯耀资产管理有限公司 | Information-based agriculture greenhouse control system and control method thereof |
| CN107041349A (en) * | 2017-04-06 | 2017-08-15 | 南京三宝弘正视觉科技有限公司 | A kind of Pest killing apparatus and system |
| WO2017193521A1 (en) * | 2016-05-13 | 2017-11-16 | 宋国强 | Environmental-friendly integrated pest extermination method |
| CN107889808A (en) * | 2017-11-01 | 2018-04-10 | 广州聚旭机电技术研究院有限公司 | A kind of wall built-up agricultural planting frame intelligence deinsectization system |
| CN107926887A (en) * | 2017-10-31 | 2018-04-20 | 四川农业大学 | Diseases and pests of agronomic crop precisely identifies and intelligence control system |
| CN107996536A (en) * | 2017-11-24 | 2018-05-08 | 张昕然 | A kind of locust monitoring image identification automatic warning device and its manufacturing process |
| CN108271753A (en) * | 2018-01-05 | 2018-07-13 | 广州翼鲲生物科技有限公司 | A kind of insect pest control method and system |
| CN108462855A (en) * | 2017-12-08 | 2018-08-28 | 四川瑞进特科技有限公司 | A kind of trapping lamp long-distance video monitoring system that can observe desinsection situation in real time |
| CN109197830A (en) * | 2018-11-19 | 2019-01-15 | 昆山驭崴精密电子有限公司 | A kind of intelligence insect-catching insect-proofing system |
| CN109362681A (en) * | 2018-10-11 | 2019-02-22 | 广州翼鲲生物科技有限公司 | A kind of remote monitoring intelligent fly eradication system and method |
| CN109714960A (en) * | 2016-09-23 | 2019-05-03 | 威里利生命科学有限责任公司 | For carrying out the dedicated catcher of truthful data calibration to insect identifying system |
| CN109886259A (en) * | 2019-02-22 | 2019-06-14 | 潍坊科技学院 | A kind of tomato disease based on computer vision identification method for early warning and device |
| CN110363754A (en) * | 2019-07-16 | 2019-10-22 | 上海秒针网络科技有限公司 | Mosquito killer lamp adjusting method and device, storage medium and electronic device |
| 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 |
| WO2022007114A1 (en) * | 2020-07-06 | 2022-01-13 | 周爱丽 | Hazard detection platform using locust density analysis |
| CN115413634A (en) * | 2022-10-08 | 2022-12-02 | 广东省农业科学院设施农业研究所 | A pest control device for warmhouse booth |
| CN115413634B (en) * | 2022-10-08 | 2024-05-14 | 广东省农业科学院设施农业研究所 | Deinsectization device for greenhouse |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20090192763A1 (en) * | 2002-03-29 | 2009-07-30 | Ecolab Inc. | Method and apparatus for automatic pest trap report generation and additional trap parameter data |
| CN201595102U (en) * | 2010-02-09 | 2010-10-06 | 胡宪亮 | Automatic insect infestation monitoring preventing system |
| CN201622464U (en) * | 2010-02-09 | 2010-11-03 | 胡宪亮 | Automatic monitoring and preventing system for agricultural and forestry insect infestation based on PLC technology |
| CN202406870U (en) * | 2011-12-30 | 2012-09-05 | 山东省科学院自动化研究所 | Intelligent online measuring and reporting system for forest insect attack |
| 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 |
-
2013
- 2013-04-19 CN CN2013101367719A patent/CN103210896A/en active Pending
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20090192763A1 (en) * | 2002-03-29 | 2009-07-30 | Ecolab Inc. | Method and apparatus for automatic pest trap report generation and additional trap parameter data |
| CN201595102U (en) * | 2010-02-09 | 2010-10-06 | 胡宪亮 | Automatic insect infestation monitoring preventing system |
| CN201622464U (en) * | 2010-02-09 | 2010-11-03 | 胡宪亮 | Automatic monitoring and preventing system for agricultural and forestry insect infestation based on PLC technology |
| CN202406870U (en) * | 2011-12-30 | 2012-09-05 | 山东省科学院自动化研究所 | Intelligent online measuring and reporting system for forest insect attack |
| 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 |
Non-Patent Citations (2)
| Title |
|---|
| 张茂明: "粘着式信息素诱捕器捕获小菜蛾试验及图像识别系统的研究", 《中国农学通报》, vol. 26, no. 23, 5 December 2010 (2010-12-05), pages 291 - 294 * |
| 李成赞 等: "面向林农的森林害虫诊断专家系统的研建", 《农业网络信息》, no. 4, 26 April 2009 (2009-04-26), pages 14 - 16 * |
Cited By (29)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103782770A (en) * | 2014-01-27 | 2014-05-14 | 内蒙古田野餐桌现代农业有限责任公司 | Method for green planting of greenhouse tomatoes |
| CN103782770B (en) * | 2014-01-27 | 2016-12-07 | 内蒙古田野餐桌现代农业有限责任公司 | A kind of temperature canopy Fructus Lycopersici esculenti green planting method |
| CN103749416A (en) * | 2014-02-15 | 2014-04-30 | 福建农林大学 | Oriented monitoring, preventing and controlling system for pests |
| CN104023053A (en) * | 2014-05-27 | 2014-09-03 | 浙江拜肯生物科技有限公司 | Insect condition forecasting system by using pheromone for counting |
| CN104186449A (en) * | 2014-08-15 | 2014-12-10 | 北京农业信息技术研究中心 | Pest monitoring system capable of automatically replacing pest sticky board and monitoring method |
| CN104186449B (en) * | 2014-08-15 | 2016-06-08 | 北京农业信息技术研究中心 | A kind of worm monitoring system and monitoring method of automatic replacing insect-sticking plate |
| CN105636436A (en) * | 2014-09-24 | 2016-06-01 | 上海星让实业有限公司 | Smart imaging system and insect-trapping apparatus provided with same |
| CN105067482A (en) * | 2015-08-12 | 2015-11-18 | 中粮屯河种业有限公司 | Method for rapidly identifying high-viscosity tomato variety |
| CN104996382A (en) * | 2015-08-20 | 2015-10-28 | 哈尔滨市汇精源农机制造有限公司 | Farmland monitoring system provided with insect-killing lamp |
| CN105894131A (en) * | 2016-04-28 | 2016-08-24 | 广东石油化工学院 | Fruit-piercing moth rapid early-warning method |
| WO2017193521A1 (en) * | 2016-05-13 | 2017-11-16 | 宋国强 | Environmental-friendly integrated pest extermination method |
| CN106254820A (en) * | 2016-07-22 | 2016-12-21 | 北京小米移动软件有限公司 | The method and device of biological treating |
| CN109714960A (en) * | 2016-09-23 | 2019-05-03 | 威里利生命科学有限责任公司 | For carrying out the dedicated catcher of truthful data calibration to insect identifying system |
| CN106598115A (en) * | 2016-11-03 | 2017-04-26 | 广州凯耀资产管理有限公司 | Information-based agriculture greenhouse control system and control method thereof |
| CN107041349A (en) * | 2017-04-06 | 2017-08-15 | 南京三宝弘正视觉科技有限公司 | A kind of Pest killing apparatus and system |
| CN107926887A (en) * | 2017-10-31 | 2018-04-20 | 四川农业大学 | Diseases and pests of agronomic crop precisely identifies and intelligence control system |
| CN107926887B (en) * | 2017-10-31 | 2019-10-11 | 四川农业大学 | Diseases and pests of agronomic crop precisely identifies and intelligence control system |
| CN107889808A (en) * | 2017-11-01 | 2018-04-10 | 广州聚旭机电技术研究院有限公司 | A kind of wall built-up agricultural planting frame intelligence deinsectization system |
| CN107996536A (en) * | 2017-11-24 | 2018-05-08 | 张昕然 | A kind of locust monitoring image identification automatic warning device and its manufacturing process |
| CN108462855A (en) * | 2017-12-08 | 2018-08-28 | 四川瑞进特科技有限公司 | A kind of trapping lamp long-distance video monitoring system that can observe desinsection situation in real time |
| CN108271753A (en) * | 2018-01-05 | 2018-07-13 | 广州翼鲲生物科技有限公司 | A kind of insect pest control method and system |
| CN109362681A (en) * | 2018-10-11 | 2019-02-22 | 广州翼鲲生物科技有限公司 | A kind of remote monitoring intelligent fly eradication system and method |
| CN109197830A (en) * | 2018-11-19 | 2019-01-15 | 昆山驭崴精密电子有限公司 | A kind of intelligence insect-catching insect-proofing system |
| CN109886259A (en) * | 2019-02-22 | 2019-06-14 | 潍坊科技学院 | A kind of tomato disease based on computer vision identification method for early warning and device |
| CN110363754A (en) * | 2019-07-16 | 2019-10-22 | 上海秒针网络科技有限公司 | Mosquito killer lamp adjusting method and device, storage medium and electronic device |
| 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 |
| WO2022007114A1 (en) * | 2020-07-06 | 2022-01-13 | 周爱丽 | Hazard detection platform using locust density analysis |
| CN115413634A (en) * | 2022-10-08 | 2022-12-02 | 广东省农业科学院设施农业研究所 | A pest control device for warmhouse booth |
| CN115413634B (en) * | 2022-10-08 | 2024-05-14 | 广东省农业科学院设施农业研究所 | Deinsectization device for greenhouse |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN103210896A (en) | Greenhouse tomato injurious insect intelligent monitoring and trapping system | |
| CN102524188B (en) | Insect breeding bottom and breeding method of gynaikothrips ficorum | |
| CN103168751B (en) | Expanding propagation method for aphidius gifuensis ashmeads | |
| CN103461038B (en) | Harmless management method for diseases, insects and weeds at tea tree seedling stage of organic tea garden | |
| CN105076087A (en) | Environment-friendly preventing and controlling method of diseases and pests of garden plants | |
| CN102823402B (en) | Efficient and environment friendly irrigation method for rices in cold region | |
| CN104663582A (en) | Artificial breeding method of locust | |
| CN105900621A (en) | Method of intercropping middle chickens in perennial tea garden to improve tea garden benefits | |
| CN106172239B (en) | A kind of big silks Ursula butterfly adult equipment for breeding, preparation method and the propagation method of big silks Ursula butterfly | |
| CN103444427B (en) | Method for interplanting netted melons in strawberries in greenhouse | |
| CN103229750A (en) | Tea garden maintenance method through mixed culture of tea and chicken | |
| CN104982194A (en) | Corn interplanting method after harvesting wheat among fruit forest in southern Xinjiang area | |
| CN103766324B (en) | Fructus Jujubae garden utilizes the method for red neck normal room cocoon honeybee Biological control green plant bug | |
| CN106900538A (en) | A kind of method that the onion production of hybrid seeds is carried out using fly | |
| CN111183960B (en) | Armoracia chinensis ovipositing amount increasing and Armoracia chinensis egg collecting method | |
| CN108935341A (en) | A kind of method for breeding of cabbage butterfly braconid wasp | |
| CN105638331A (en) | Plant disease and pest green prevention and control method for garden plants | |
| CN108271612A (en) | A kind of cost-saving synergistic cultivation technique of lichee new varieties ' bird with red feathers is crisp ' lichee | |
| CN203952130U (en) | A kind of bumblebee educates king's dedicated box | |
| CN106613484B (en) | A kind of mating system of anti-seasonal febrile diseases pepper seedling | |
| CN112385608A (en) | Breeding method of lugworm | |
| CN109197570A (en) | A method of improving sugarcane wild species resource pollen collection amount | |
| CN106135166B (en) | Propagation method suitable for common green lacewing and selected device | |
| CN104756955A (en) | Aphidius gifuensis Ashmaed and Encarsia formosa simultaneous breeding method | |
| CN109479829A (en) | A kind of butterfly scale breeding method at low cost, yield is high |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| C02 | Deemed withdrawal of patent application after publication (patent law 2001) | ||
| WD01 | Invention patent application deemed withdrawn after publication |
Application publication date: 20130724 |