CN209525221U - Pesticide deposit amount characteristic wave data acquisition and pesticide deposit amount detection device - Google Patents

Pesticide deposit amount characteristic wave data acquisition and pesticide deposit amount detection device Download PDF

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Publication number
CN209525221U
CN209525221U CN201920106320.3U CN201920106320U CN209525221U CN 209525221 U CN209525221 U CN 209525221U CN 201920106320 U CN201920106320 U CN 201920106320U CN 209525221 U CN209525221 U CN 209525221U
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pesticide
characteristic wave
chip microprocessor
microprocessor mcu
photographic device
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孙磊
郝建军
李建昌
金俊宝
赵建国
索雪松
马志凯
马跃进
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Hebei Qianpeng Agricultural Machinery Technology Co ltd
Heibei Agricultural University
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Hebei Qianpeng Agricultural Machinery Technology Co ltd
Heibei Agricultural University
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Abstract

The utility model discloses a pesticide deposit volume characteristic wave data acquisition and pesticide deposit volume detection device belongs to pesticide deposit volume and detects technical field. The utility model provides a pesticide deposit volume characteristic wave data acquisition composite set, composite set includes four camera devices that the structure is the same, is camera device I, camera device II, camera device III and camera device IV respectively, and they all include CCD camera, characteristic wave light source and characteristic wave band pass filter. A pesticide deposition amount detection device for targeted pesticide application comprises the four camera devices and a control circuit, wherein the control circuit comprises a single chip microcomputer MCU and a starting switch. Can realize direct detection on the pesticide deposition amount on site, and has the characteristics of convenience, rapidness, high detection efficiency and the like.

Description

A kind of pesticide deposition characteristic waves are according to acquisition and pesticide deposition amount detection device
Technical field
The utility model relates to pesticide deposition detection technique fields.
Background technique
, may be smaller in non-course line dose using unmanned plane spray during field pesticides spraying operation, or by day Gas (e.g., wind direction, wind speed, rainfall etc.) reason is affected, and pesticide is sprayed from spray tank to the entire of target plant blade transmitting In the process, medical fluid will be by a series of processes such as atomization, flight, shock, rebounds.Inevitably it will appear in this process The pesticide loss of pesticide droplet drift, droplet evaporation, droplet loss etc.;Therefore, most pesticide droplet is difficult to reach predetermined Target leaf on, to limit the performance of drug effect.It needs to detect pesticide deposition, and then targetedly carries out Tonic adjustment, under existing applications of pesticide technical conditions, often using the canopy of crop as study pesticide deposition target, because And carrying out pesticide tonic according to deposition size is the important means for carrying out targeting application.
Current pesticide deposition detection inhibits the methods of principle and photoelectric colorimetry frequently with enzyme, is suppressed to principle with enzyme Detection method need to will crops picking blade processing after measure pesticide deposition, be off-line checking method, can not accomplish in real time Fast nondestructive evaluation makes troubles to the detection of field crops pesticide deposition.Spectral method of detection usually has laboratory testing Two kinds are detected with field, laboratory testing need to build darkroom, and visible light interference is excluded, crop leaf to be measured is picked and is detected, Although being not necessarily to damaged blade, can not accomplish in field real-time detection.And portable spectrometer is used to carry out field detection, it is extraneous Visible light has certain interference, and spectrometer involves great expense, and is unsuitable for agricultural production practice.
Utility model content
It is heavy according to acquisition and pesticide that the technical problem to be solved by the present invention is to provide a kind of pesticide deposition characteristic waves Accumulated amount detection device can at the scene realize pesticide deposition and directly detect, have the features such as convenient and efficient, detection efficiency is high.
In order to solve the above technical problems, technical solution adopted in the utility model is:
A kind of pesticide deposition characteristic waves are combined the unit according to acquisition, and combination unit includes that the identical camera shooting of four structures fills It sets, respectively photographic device I, photographic device II, photographic device III and photographic device IV, they include CCD camera, spy Wave source and characteristic wave bandpass filter are levied, feature wave source is arranged on CCD camera, for irradiating taking for CCD camera The camera lens front end of CCD camera is arranged in scape range, characteristic wave bandpass filter, so that CCD camera acquisition characteristics wavestrip is logical The feature wave source of the light for the characteristic wave bands wavelength that optical filter is penetrated, each photographic device is opposite with characteristic wave bandpass filter It answers, so that the light reflection intensity data of four characteristic wave bands is acquired by each photographic device respectively.
It is a kind of for targeting the pesticide deposition amount detection device of application, including above-mentioned four photographic devices and control electricity Road, control circuit include single-chip microprocessor MCU and start switch, start switch issued on-off model and conveyed by the port I/O To single-chip microprocessor MCU, single-chip microprocessor MCU issues timing control signal by four ports I/O, successively controls four photographic devices The open and close of CCD camera, four CCD cameras acquisition picture signal respectively by respective I/O port transmission extremely Single-chip microprocessor MCU, the operation output signal of single-chip microprocessor MCU is through I/O port transmission to display device.
The utility model further improvement lies in that:
Display device is YM12232B type liquid crystal display.
Single-chip microprocessor MCU also passes through the port I/O and connect with zigbee wireless communication module, to realize the operation of single-chip microprocessor MCU Output signal wireless transmission.
The beneficial effects of adopting the technical scheme are that
Advantage 1: crop pesticide application deposition detects at present, needs to pick blade or even crushing mostly, in the lab It is measured, efficiency is lower.The present invention can detect crop pesticide deposition in field, can be realized lossless, real-time Detection, fast speed, timeliness is higher, can real-time transmission data, for farmland spray machine device people or spray operator into Row fast variable spray, promptly and accurately supplements pesticide to scarce medicine region, not exposed not excess, does not repeat to spray to medicine region is not lacked It applies.And without picking blade, crop is not destroyed, realizes non-destructive testing effect.
Advantage 2: traditional chemical detection method, chromatographic detection method etc., step is more, sample extraction, purification and etc. Expend certain time, and this patent use spectral method of detection without sample extraction, purification and etc., directly measurement, accurately Efficiently.
Advantage 3: previous spectral method of detection mostly uses spectrometer directly to detect, spectrometer purchase and maintenance cost compared with For valuableness, the equipment of measurement requirement can satisfy mostly more than hundreds of thousands member, higher cost is unfavorable for agricultural production practice.And The equipment built according to method proposed by the present invention, it is only necessary to feature wave source, characteristic wave bandpass filter, CCD camera, control The devices such as circuit processed carry out building combination, and cost is greatly reduced on the basis of meeting measurement demand in thousands of members or so This, a possibility that having spectroscopic assay pesticide deposition in farmland production operation to peasant household's Promotion practice.
Advantage 4: previous spectroscopic assay pesticide deposition method acquires crop leaf spectroscopic data information by spectroscopy equipment, It is handled again after export data information to determine deposition.Data are acquired and are divided by method and apparatus proposed by the invention Analysis is integrated in same control chip, control chip is incorporated into after founding mathematical models, the inputting mathematical after equipment collects data Model automatically derives deposition output data.
Advantage 5: spectral image information and pesticide deposition corresponding relationship model foundation are highly efficient compared with conventional method, quasi- Really.The present invention uses CNN (convolutional neural networks) deep learning method, automatically by spectral image information and pesticide deposition information It is trained modeling, compared with machine learning methods such as traditional neural network, support vector machines, dimensionality reduction efficiency is higher, accurately Degree is higher, substantially increases mathematical model accuracy, corresponding relationship modeling difficulty and time is reduced, to make measurement result more It is accurate.
Pesticide deposition amount detection device for targeting application can be realized to be automatically performed by taking pictures to deposition to calculate to export. With the features such as convenient and efficient, detection efficiency is high.
Detailed description of the invention
Fig. 1 is the structural schematic diagram that characteristic waves combine the unit each photographic device according to acquisition in the application;
Fig. 2 is in the application for targeting the structural schematic diagram of the pesticide deposition amount detection device of application;
Fig. 3 is in the application for targeting the structural schematic diagram of the pesticide deposition amount detection device control circuit of application.
In the accompanying drawings: 1.CCD camera;The camera lens of 1-1.CCD camera;2. feature wave source;3. characteristic wave band logical is filtered Mating plate;
Specific embodiment
Below in conjunction with the drawings and specific embodiments, the present invention will be further described in detail.
Referring to Fig. 1, a kind of pesticide deposition characteristic waves are combined the unit according to acquisition, and combination unit includes that four structures are identical Photographic device, respectively photographic device I, photographic device II, photographic device III and photographic device IV, they take the photograph including CCD As head 1, feature wave source 2 and characteristic wave bandpass filter 3, feature wave source 2 is arranged on CCD camera 1, for irradiating The viewfinder range of CCD camera 1, the front end camera lens 1-1 of CCD camera 1 is arranged in characteristic wave bandpass filter 3, so that CCD takes the photograph As the light for the characteristic wave bands wavelength that first 1 acquisition characteristics wavestrip pass filter 3 is penetrated, the feature wave source 2 of each photographic device with Characteristic wave bandpass filter 3 is corresponding, so that the light reflection intensity data of four characteristic wave bands is adopted by each photographic device respectively Collection.
The choosing method of four feature wave sources and four characteristic wave bandpass filters in the present apparatus:
A. characteristic wave bands determine, configure the pesticide solution of various concentration, choose one group of crops blade, each blade is sprayed The pesticide solution of various concentration, to form the pesticide deposition of various concentration on each blade, to form characteristic wave bands sampling Sample irradiates each blade using composite light source in dark room conditions, is deposited by spectrometer collection by the pesticide of carrier of blade Reflectivity data and wavelength data are measured, using Principal Component Analysis, determination can most react different pesticide deposition reflectance signature waves Four characteristic wave bands;
B. custom features wave source and characteristic wave bandpass filter, for the wave of each characteristic wave bands of four characteristic wave bands It is long, customize corresponding feature wave source and characteristic wave bandpass filter respectively, four customized feature wave sources and Four characteristic wave bandpass filters are respectively only capable of the light of sending or the wavelength by characteristic wave bands corresponding thereto.
Camera shooting dress is separately mounted to by four pairs of feature wave sources and characteristic wave bandpass filter selected by the above method It sets on I, photographic device II, photographic device III and photographic device IV, so that four photographic devices are collected in the form of image information Using blade as the light reflection intensity data of four characteristic wave bands corresponding to the pesticide deposition of each concentration of carrier, to be ready for use on Generating with pesticide deposition is the characteristic wave-pesticide deposition relational model exported.
Referring to fig. 2~Fig. 3, it is a kind of for targeting the pesticide deposition amount detection device of application, including four above-mentioned camera shootings Device and control circuit, control circuit include single-chip microprocessor MCU and start switch, start switch issued on-off model and pass through The port I/O is delivered to single-chip microprocessor MCU, and single-chip microprocessor MCU issues timing control signal by four ports I/O, successively controls four The open and close of the CCD camera of photographic device, four characteristic wave bands that four CCD cameras are acquired in the form of image information Light reflection intensity data pass through respective I/O port transmission to single-chip microprocessor MCU, the operation output signal of single-chip microprocessor MCU respectively Through I/O port transmission to display device.
Display device is YM12232B type liquid crystal display.
Single-chip microprocessor MCU also passes through the port I/O and connect with zigbee wireless communication module, to realize the operation of single-chip microprocessor MCU Output signal wireless transmission.
The choosing method of four feature wave sources and four characteristic wave bandpass filters in the present apparatus is as previously mentioned, no longer It repeats.
The operational formula of single-chip microprocessor MCU is based on characteristic wave-pesticide deposition relational model, feature in present apparatus control circuit Wave-pesticide deposition relational model is established by the following method:
A. characteristic wave bands determine, configure the pesticide solution of various concentration, choose one group of crops blade, each blade is sprayed The pesticide solution of various concentration, to form the pesticide deposition of various concentration on each blade, to form characteristic wave bands sampling Sample irradiates each blade using composite light source in dark room conditions, is deposited by spectrometer collection by the pesticide of carrier of blade Reflectivity data and wavelength data are measured, using Principal Component Analysis, determination can most react different pesticide deposition reflectance signature waves Four characteristic wave bands;
B. custom features wave source and characteristic wave bandpass filter, for the wave of each characteristic wave bands of four characteristic wave bands It is long, customize corresponding feature wave source and characteristic wave bandpass filter respectively, four customized feature wave sources and Four characteristic wave bandpass filters are respectively only capable of the light of sending or the wavelength by characteristic wave bands corresponding thereto;
C. acquisition characteristics wave~pesticide concentration corresponding data is matched according to the detection range of crops blade pesticide deposition The pesticide solution of various concentration is set, one group of crops blade is chosen, is sprayed respectively on each blade in this group of blade different dense The pesticide solution of degree makes the pesticide of each crops blade in the group to form the pesticide deposition of various concentration on each blade The detection range of deposition discrete mulch farming object blade pesticide deposition on the whole, to form characteristic wave~pesticide deposition Concentration corresponding data collecting sample is measured, the light reflection intensity data of four characteristic wave bands in the sample per a piece of blade is carried out Acquisition, the light reflection intensity data acquisition method of characteristic wave bands are as follows: respectively by four feature wave sources to being loaded with different pesticides Each blade of deposition is irradiated, and using camera through characteristic wave bandpass filter corresponding to every kind of feature wave source into Row shooting, to collect in image information form using blade as four spies corresponding to the pesticide deposition of each concentration of carrier Levy the light reflection intensity data of wave band;
D. obtain characteristic wave-pesticide deposition relational model, by the pesticide deposition of each concentration obtained in step c and its The light reflection intensity data of four kinds of corresponding characteristic wave bands is directed respectively into CNN convolutional neural networks and carries out deep learning training, The light reflection intensity data corresponding relationship of system automatically generated pesticide deposition and four kinds of characteristic wave bands, to obtain with four spies The light reflection intensity data for levying wave band is input, and pesticide deposition is characteristic wave-pesticide deposition relational model of output.The pass It is that model is loaded into single-chip microprocessor MCU.
It is as follows using detection method of the present apparatus to pesticide deposition:
It presses and starts switch button, single-chip microprocessor MCU issues timing control signal by four ports I/O, successively controls four The open and close of the CCD camera of a photographic device, four characteristic waves that four CCD cameras are acquired in the form of image information The light reflection intensity data of section is respectively by respective I/O port transmission to single-chip microprocessor MCU, and single-chip microprocessor MCU is according to characteristic wave-agriculture Medicine deposition relational model operation exports pesticide deposition data-signal, and through I/O port transmission to display device, passes through simultaneously Pesticide deposition data-signal is carried out wireless remote transmission to signal receiving end by zigbee wireless communication module.In order to distally connect It receives.
Using the common pesticide fenifrothion deposition in corn surface layer as test object, set according to disclosed by the utility model Standby and equipment application method operation, uses composite light source (marine optics Vivo tungsten halogen lamp) and spectrometer in dark room conditions (model of CAMLIN company production: VNIR-SWIR spectrometer) determination can most react different pesticide deposition reflectance signature waves The wavelength of four characteristic wave bands is respectively respectively 650nm, 830nm, 1150nm, 1581nm, is passed through (Sen Quan photoelectricity manufacturer) Four feature wave sources and corresponding four characteristic wave bandpass filters are customized, are combined the unit by characteristic waves according to acquisition The light reflection intensity data of four characteristic wave bands of (wherein 1 model of CCD camera: PCO1600) acquisition, is examined by pesticide deposition Survey device to cotton crops carry out pesticide deposition detection, testing result and gas-chromatography detection method detection result into Row comparison, obtains predictablity rate, comparing result see the table below:

Claims (4)

1. a kind of pesticide deposition characteristic waves are combined the unit according to acquisition, which is characterized in that the combination unit includes four knots The identical photographic device of structure, respectively photographic device I, photographic device II, photographic device III and photographic device IV, they are wrapped CCD camera (1), feature wave source (2) and characteristic wave bandpass filter (3) are included, the feature wave source (2) is arranged described On CCD camera (1), for irradiating the viewfinder range of the CCD camera (1), characteristic wave bandpass filter (3) setting In front end camera lens (1-1) of the CCD camera (1), so that the CCD camera (1) acquires the characteristic wave bandpass filter The light for the characteristic wave bands wavelength that piece (3) is penetrated, the feature wave source (2) and characteristic wave bandpass filter of each photographic device (3) corresponding, so that the light reflection intensity data of four characteristic wave bands is acquired by each photographic device respectively.
2. a kind of for targeting the pesticide deposition amount detection device of application, which is characterized in that including as described in claim 1 four A photographic device and control circuit, the control circuit include that single-chip microprocessor MCU is issued with described start switch is started switch On-off model is delivered to the single-chip microprocessor MCU by the port I/O, and the single-chip microprocessor MCU issues timing by four ports I/O Signal is controlled, the open and close of the CCD camera of four photographic devices are successively controlled, four CCD cameras are adopted Respectively by respective I/O port transmission to the single-chip microprocessor MCU, the operation of the single-chip microprocessor MCU exports the picture signal of collection Signal is through I/O port transmission to display device.
3. according to claim 2 a kind of for targeting the pesticide deposition amount detection device of application, it is characterised in that: described Display device is YM12232B type liquid crystal display.
4. according to claim 2 or 3 a kind of for targeting the pesticide deposition amount detection device of application, it is characterised in that: The single-chip microprocessor MCU also passes through the port I/O and connect with zigbee wireless communication module, to realize the operation of the single-chip microprocessor MCU Output signal wireless transmission.
CN201920106320.3U 2019-01-23 2019-01-23 Pesticide deposit amount characteristic wave data acquisition and pesticide deposit amount detection device Active CN209525221U (en)

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Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109557003A (en) * 2019-01-23 2019-04-02 河北农业大学 Pesticide deposition amount detection method and device and data acquisition combination device
CN113008742A (en) * 2021-02-23 2021-06-22 中国农业大学 Method and system for detecting deposition amount of fog drops
CN113252522A (en) * 2021-05-12 2021-08-13 中国农业大学 Hyperspectral scanning-based device for measuring deposition amount of fog drops on plant leaves

Cited By (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109557003A (en) * 2019-01-23 2019-04-02 河北农业大学 Pesticide deposition amount detection method and device and data acquisition combination device
CN109557003B (en) * 2019-01-23 2024-08-02 河北农业大学 Pesticide deposition amount detection method and device and data acquisition combination device
CN113008742A (en) * 2021-02-23 2021-06-22 中国农业大学 Method and system for detecting deposition amount of fog drops
CN113252522A (en) * 2021-05-12 2021-08-13 中国农业大学 Hyperspectral scanning-based device for measuring deposition amount of fog drops on plant leaves
CN113252522B (en) * 2021-05-12 2022-03-15 中国农业大学 Hyperspectral scanning-based device for measuring deposition amount of fog drops on plant leaves

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