CN117426531A - Automatic pesticide residue purifying system, method, equipment and medium - Google Patents

Automatic pesticide residue purifying system, method, equipment and medium Download PDF

Info

Publication number
CN117426531A
CN117426531A CN202311404176.9A CN202311404176A CN117426531A CN 117426531 A CN117426531 A CN 117426531A CN 202311404176 A CN202311404176 A CN 202311404176A CN 117426531 A CN117426531 A CN 117426531A
Authority
CN
China
Prior art keywords
module
pesticide residue
detection
agricultural product
detected
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
Application number
CN202311404176.9A
Other languages
Chinese (zh)
Inventor
张达
钱思思
陈梦霞
王培�
梁寒
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Zhejiang Shangji Testing Co ltd
Original Assignee
Zhejiang Shangji Testing Co ltd
Priority date (The priority date 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 date listed.)
Filing date
Publication date
Application filed by Zhejiang Shangji Testing Co ltd filed Critical Zhejiang Shangji Testing Co ltd
Priority to CN202311404176.9A priority Critical patent/CN117426531A/en
Publication of CN117426531A publication Critical patent/CN117426531A/en
Pending legal-status Critical Current

Links

Classifications

    • AHUMAN NECESSITIES
    • A23FOODS OR FOODSTUFFS; TREATMENT THEREOF, NOT COVERED BY OTHER CLASSES
    • A23PSHAPING OR WORKING OF FOODSTUFFS, NOT FULLY COVERED BY A SINGLE OTHER SUBCLASS
    • A23P30/00Shaping or working of foodstuffs characterised by the process or apparatus
    • AHUMAN NECESSITIES
    • A23FOODS OR FOODSTUFFS; TREATMENT THEREOF, NOT COVERED BY OTHER CLASSES
    • A23LFOODS, FOODSTUFFS, OR NON-ALCOHOLIC BEVERAGES, NOT COVERED BY SUBCLASSES A21D OR A23B-A23J; THEIR PREPARATION OR TREATMENT, e.g. COOKING, MODIFICATION OF NUTRITIVE QUALITIES, PHYSICAL TREATMENT; PRESERVATION OF FOODS OR FOODSTUFFS, IN GENERAL
    • A23L5/00Preparation or treatment of foods or foodstuffs, in general; Food or foodstuffs obtained thereby; Materials therefor
    • A23L5/20Removal of unwanted matter, e.g. deodorisation or detoxification
    • A23L5/27Removal of unwanted matter, e.g. deodorisation or detoxification by chemical treatment, by adsorption or by absorption
    • A23L5/273Removal of unwanted matter, e.g. deodorisation or detoxification by chemical treatment, by adsorption or by absorption using adsorption or absorption agents, resins, synthetic polymers, or ion exchangers
    • AHUMAN NECESSITIES
    • A23FOODS OR FOODSTUFFS; TREATMENT THEREOF, NOT COVERED BY OTHER CLASSES
    • A23LFOODS, FOODSTUFFS, OR NON-ALCOHOLIC BEVERAGES, NOT COVERED BY SUBCLASSES A21D OR A23B-A23J; THEIR PREPARATION OR TREATMENT, e.g. COOKING, MODIFICATION OF NUTRITIVE QUALITIES, PHYSICAL TREATMENT; PRESERVATION OF FOODS OR FOODSTUFFS, IN GENERAL
    • A23L5/00Preparation or treatment of foods or foodstuffs, in general; Food or foodstuffs obtained thereby; Materials therefor
    • A23L5/20Removal of unwanted matter, e.g. deodorisation or detoxification
    • A23L5/27Removal of unwanted matter, e.g. deodorisation or detoxification by chemical treatment, by adsorption or by absorption
    • A23L5/276Treatment with inorganic compounds
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N21/00Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
    • G01N21/75Systems in which material is subjected to a chemical reaction, the progress or the result of the reaction being investigated
    • G01N21/77Systems in which material is subjected to a chemical reaction, the progress or the result of the reaction being investigated by observing the effect on a chemical indicator
    • G01N21/78Systems in which material is subjected to a chemical reaction, the progress or the result of the reaction being investigated by observing the effect on a chemical indicator producing a change of colour
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N21/00Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
    • G01N21/84Systems specially adapted for particular applications

Landscapes

  • Chemical & Material Sciences (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Engineering & Computer Science (AREA)
  • Health & Medical Sciences (AREA)
  • Physics & Mathematics (AREA)
  • Food Science & Technology (AREA)
  • Polymers & Plastics (AREA)
  • Analytical Chemistry (AREA)
  • Nutrition Science (AREA)
  • Biochemistry (AREA)
  • General Health & Medical Sciences (AREA)
  • General Physics & Mathematics (AREA)
  • Immunology (AREA)
  • Pathology (AREA)
  • Chemical Kinetics & Catalysis (AREA)
  • Plasma & Fusion (AREA)
  • Investigating Or Analysing Materials By Optical Means (AREA)

Abstract

The invention discloses an automatic pesticide residue purifying system, method, equipment and medium, wherein the system comprises: the device comprises a detection object classification module, a pretreatment module, a multi-dimensional detection module and a purification treatment module; the detection object classification module is used for classifying the agricultural product objects to be detected; the pretreatment module is used for carrying out pesticide residue detection pretreatment on the agricultural product to be detected according to the type of the agricultural product to be detected; the multidimensional detection module is used for detecting pesticide residues in visual dimension and color card dimension of the agricultural product to be detected after detection pretreatment; the purification processing module is used for analyzing agricultural products carrying pesticide residues according to the pesticide residue detection results in the visual dimension and the color card dimension; the purification treatment module is used for purifying agricultural products carrying pesticide residues; the invention can carry out multidimensional pesticide residue detection and multi-step pesticide residue purification treatment on different types of agricultural products, and is beneficial to reducing or even eliminating residues in the agricultural products.

Description

Automatic pesticide residue purifying system, method, equipment and medium
Technical Field
The invention relates to the technical field of chemical detection, in particular to an automatic pesticide residue purifying system, an automatic pesticide residue purifying method, automatic pesticide residue purifying equipment and an automatic pesticide residue purifying medium.
Background
The agricultural chemical is used in agriculture to prevent and control plant diseases and insect pests and regulate plant growth, and is widely used in agriculture, forestry and animal industry production, environmental and household sanitation, pest control, industrial mildew and moth control, etc. The agricultural chemicals have a lot of varieties and can be mainly divided into: insecticides, acaricides, rodenticides, nematicides, molluscicides, bactericides, herbicides, plant growth regulators and the like.
The pesticide residue refers to the amount of the pesticide and its toxic metabolites remaining in the plant body, soil and environment after the pesticide is used. The pesticide residue can cause harm to the health of eaters, and serious consequences of discomfort, vomiting and diarrhea and even death can be caused when the pesticide residue is serious. The vegetable pesticide residue exceeds the standard, and the nervous system, liver, kidney and other important organs of the human body can be directly endangered. Meanwhile, residual pesticide is accumulated in a human body, and after exceeding a certain measure, some chronic diseases such as muscle numbness, cough and the like can be caused, and even vascular diseases, diabetes, cancers and the like can be induced.
In summary, once the pesticide residue exists in the food, the pesticide residue can cause direct or potential harm to human body, so that the pesticide residue needs to be effectively purified to improve the food safety.
Disclosure of Invention
The invention aims to solve the problems in the prior art and provide an automatic pesticide residue purifying system, method, equipment and medium, so as to solve the problems that pesticide residues exist in pesticide products in the prior art and direct or potential harm is easily caused to human bodies.
In order to solve the technical problems, the specific technical scheme of the invention is as follows:
in one aspect, the present invention provides an automated pesticide residue purification system comprising:
the device comprises a detection object classification module, a pretreatment module, a multi-dimensional detection module and a purification treatment module;
the detection object classification module is used for classifying the agricultural product objects to be detected;
the pretreatment module is used for carrying out pesticide residue detection pretreatment on the agricultural product to be detected according to the type of the agricultural product to be detected;
the multidimensional detection module is used for detecting pesticide residues in visual dimension and color card dimension of the agricultural product to be detected after the detection pretreatment;
the purification processing module is used for analyzing agricultural products carrying pesticide residues according to the visual dimension and the pesticide residue detection result of the color card dimension; and the purification treatment module is used for purifying the agricultural products carrying pesticide residues.
As an improvement, the detection object classification module includes: the device comprises a database module, an identification module and a characteristic comparison module;
the database module is used for storing a plurality of types of agricultural product characteristic images;
the identification module is used for acquiring a feature image of an object to be detected of the agricultural product;
the characteristic comparison module is used for judging the category of the agricultural product object to be detected according to a plurality of agricultural product characteristic images; the categories include: with or without coating.
As an improvement, the preprocessing module includes: the device comprises a first processing module, a second processing module and a third processing module;
the first processing module is used for setting flushing strength according to the type of the agricultural product to be detected; the first processing module washes and cleans the agricultural product to-be-detected object according to the washing force;
the second processing module is used for setting the segmentation strength according to the category of the agricultural product object to be detected; the second processing module cuts the agricultural product object to be detected according to the cutting force to obtain a first sub-detection object and a second sub-detection object;
the third processing module is used for carrying out homogenization treatment on the first sub-detection object to obtain a liquid detection object; the third processing module sets the second sub-detector as a solid-state detector.
As an improved solution, the multi-dimensional detection module includes: the device comprises a visual detection module, a soaking detection module and a color card detection module;
the visual detection module is used for identifying the appearance and the texture of the solid detection object, and judging whether the solid detection object has pesticide residues or not according to the appearance and the texture;
the soaking detection module is used for soaking the solid detection object by adopting clear water, and judging whether the solid detection object has pesticide residues or not according to the color condition of the soaking water;
the color card detection module is used for soaking the pesticide residue test paper in the liquid detection object, and the color card detection module judges whether the pesticide residue exists or not in the liquid detection object according to the color change degree of the pesticide residue test paper.
As an improvement, the purification treatment module includes: the device comprises a result screening module, a purifying agent preparation module and a purifying precipitation module;
the result screening module is used for setting a detection result as a pesticide residue result when the pesticide residue exists in the liquid detection object; the result screening module sets a detection result as a pesticide residue result when the liquid detection object does not have pesticide residue and the visual detection module and the soaking detection module both judge that the solid detection object has pesticide residue;
the purifying agent preparation module is used for preparing a pesticide residue purifying agent for pesticide residue adsorption on the agricultural product to be detected, the detection result of which is a pesticide residue result;
the purification and precipitation module is used for purifying pesticide residues on the agricultural product to-be-detected object, the detection result of which is the pesticide residue result, based on the pesticide residue purifying agent.
As an improved scheme, the purifying agent preparation module is used for soaking melon and fruit peels in deionized water;
the purifying agent preparation module is used for sequentially drying, crushing and carbonizing soaked melon and fruit peels to obtain melon and fruit peel carbonized materials;
the purifying agent preparation module is used for soaking the melon peel carbonized material in zinc chloride aqueous solution;
the purifying agent preparation module is used for sequentially drying and sieving the soaked melon peel carbonized material to obtain the pesticide residue adsorbent.
As an improved scheme, the purifying and precipitating module is used for placing the agricultural product to be detected with the detection result being the pesticide residue result into a purifying tank filled with purified water;
the purification and precipitation module is used for adjusting the temperature of the purified water to 15 ℃;
the purification and precipitation module is used for carrying out sterilization treatment on the agricultural product to be detected by placing an ozone generator into the purification tank after adjusting the temperature for 10 min;
and the purification and precipitation module is used for placing the pesticide residue adsorbent into a purification tank after the sterilization treatment is carried out for 10min, and carrying out pesticide residue adsorption treatment on the agricultural product to be detected.
On the other hand, the invention also provides an automatic pesticide residue purifying method, which comprises the following steps:
classifying the agricultural product to-be-detected objects;
carrying out pesticide residue detection pretreatment on the agricultural product to be detected according to the category of the agricultural product to be detected;
detecting pesticide residues in visual dimension and color card dimension of the agricultural product to be detected after the detection pretreatment;
analyzing agricultural products carrying pesticide residues according to the visual dimension and the pesticide residue detection result of the color card dimension; and purifying the agricultural products carrying the pesticide residues.
In another aspect, the present invention also provides a computer readable storage medium having stored thereon a computer program which, when executed by a processor, implements the steps of the automated pesticide residue purification method.
In another aspect, the present invention further provides a computer device, where the computer device includes a processor, a communication interface, a memory, and a communication bus, where the processor, the communication interface, and the memory complete communication with each other through the communication bus; wherein:
the memory is used for storing a computer program;
the processor is used for executing the steps of the automatic pesticide residue purifying method by running the program stored on the memory.
The technical scheme of the invention has the beneficial effects that:
1. according to the automatic pesticide residue purifying system, the detection object classifying module, the preprocessing module, the multidimensional detection module and the purifying processing module are matched with each other, so that multidimensional pesticide residue detection and multi-step pesticide residue purifying processing on different types of agricultural products are realized, and residues in the agricultural products are reduced or even eliminated.
2. The automatic pesticide residue purifying method can orderly call the detection object classifying module, the preprocessing module, the multidimensional detection module and the purifying processing module, further realize multidimensional pesticide residue detection and multi-step pesticide residue purifying processing on different types of agricultural products, and is beneficial to reducing or even eliminating residues in the agricultural products.
3. The computer readable storage medium can realize the coordination of the guide detection object classification module, the pretreatment module, the multi-dimensional detection module and the purification treatment module, so as to realize the automatic pesticide residue purification method, and the operability of the automatic pesticide residue purification method is effectively improved.
4. The computer equipment can store and execute the computer readable storage medium, so as to realize the automatic pesticide residue purifying method.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings that are needed in the description of the embodiments or the prior art will be briefly described, and it is obvious that the drawings in the description below are some embodiments of the present invention, and other drawings can be obtained according to the drawings without inventive effort for a person skilled in the art.
FIG. 1 is a schematic diagram of an automated pesticide residue purification system according to embodiment 1 of the present invention;
FIG. 2 is a schematic flow chart of an automated pesticide residue purification method according to embodiment 2 of the present invention;
FIG. 3 is a schematic view of a computer device according to embodiment 4 of the present invention;
the labels in the drawings are illustrated as follows:
1501. a processor; 1502. a communication interface; 1503. a memory; 1504. a communication bus.
Detailed Description
The preferred embodiments of the present invention will be described in detail below with reference to the accompanying drawings so that the advantages and features of the present invention can be more easily understood by those skilled in the art, thereby making clear and defining the scope of the present invention.
In the description of the present invention, it should be noted that the described embodiments of the present invention are some, but not all embodiments of the present invention; all other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
The terms first, second and the like in the description and in the claims and in the above-described figures, are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used may be interchanged where appropriate such that the embodiments described herein may be capable of operation in sequences other than those illustrated or described herein. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, apparatus, article, or device that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed or inherent to such process, method, article, or device.
Example 1
The embodiment provides an automatic pesticide residue purifying system, as shown in fig. 1, including:
as an embodiment of the present invention, the present system includes: the device comprises a detection object classification module, a pretreatment module, a multi-dimensional detection module and a purification treatment module; through the modules, agricultural product objects to be detected in different categories are classified, and targeted pesticide residue detection pretreatment is carried out according to different categories; through multi-dimensional pesticide residue detection, agricultural products carrying the residues are analyzed and subjected to targeted purification treatment, so that the food safety is improved, and the harm to the health of people due to the pesticide residues is avoided;
as one embodiment of the present invention, a detection object classification module includes: the device comprises a database module, an identification module and a characteristic comparison module;
specifically, the database module is respectively stored with a plurality of agricultural product characteristic images for providing data basis for classifying the detected objects; specifically, the agricultural product feature images are as follows: appearance characteristic images of all angles of strawberries, appearance characteristic images of all angles of bananas, appearance characteristic images of all angles of peanuts and the like; in addition, in the database module, specific product categories are classified for the above-mentioned various feature images, such as: the exterior feature images of all angles of the strawberries belong to the products without the coating, and the exterior feature images of all angles of the bananas belong to the products with the coating;
specifically, the identification module mainly adopts an image identification technology to carry out image identification on the detected object, acquires the image of the detected object and sends the image to the characteristic comparison module for processing; in the process, the identification module captures an image of the corresponding detection object; a communication link is established between the identification module and the characteristic comparison module and is used for transmitting and transmitting the images;
specifically, the feature comparison module is mainly used for comparing the identified detected object image with a plurality of agricultural product feature images stored in the database module, and matching the agricultural product features corresponding to the detection according to the corresponding comparison result; based on the comparison, it is determined why the test object is a product, such as: apples, potatoes, green vegetables, corns, etc.; according to the comparison result and the classification in the database module, the corresponding detection objects can be classified, for example: coating with or without a skin;
as an embodiment of the present invention, a preprocessing module includes: the device comprises a first processing module, a second processing module and a third processing module; the pretreatment module is mainly used for carrying out pretreatment actions with different intensities on the detection objects with different classifications;
specifically, the first processing module is used for washing and cleaning the detection object, and the washing force of the first processing module on the detection object with the coating of the crust is greater than that of the detection object without the coating of the crust; in the embodiment, the washing and cleaning adopts warm water for relevant treatment;
specifically, the second processing module is used for splitting the detection object, namely splitting the detection object into two parts, and the splitting force of the second processing module is also larger for the detection object with the coating of the outer skin than for the detection object without the coating of the outer skin;
specifically, the third processing module is configured to select a part of each of the two divided detection objects (i.e., the first sub-detection objects) for performing homogenization treatment, so that the solid detection object is changed into a liquid detection object; the homogenizing strength of the sample is larger than that of the sample without the coating of the crust; pretreatment operations with different intensities are carried out based on different types of detection objects, so that interference objects affecting detection results of various agricultural products on the appearance can be effectively eliminated;
as one embodiment of the present invention, a multi-dimensional detection module includes: the device comprises a visual detection module, a soaking detection module and a color card detection module; through the processing of the modules, two different forms of the same detection object, namely solid and liquid, can be obtained; the multidimensional detection module is used for respectively carrying out pesticide residue detection analysis on the detection objects in different forms in different modes;
specifically, the visual detection module is mainly used for identifying the appearance and the texture of the solid detection object by adopting a visual identification technology, and if the surface of the solid detection object is found to have obvious spots or rot phenomena, the possible pesticide residues are primarily judged;
specifically, the soaking detection module is mainly configured with a soaking tank containing clear water, is monitored by adopting a visual identification technology, and is used for soaking solid detection objects in the clear water for a period of time, and then detecting whether the color of the soaking water changes or not and whether a large number of suspended objects appear or not; if the soaking water changes color or a large number of suspended matters appear in the soaking water, judging that pesticide residues possibly exist again;
specifically, the color card detection module is mainly used for immersing pesticide residue test paper in a liquid detection object, observing the color change degree of the pesticide residue test paper, and judging whether the current color change degree represents that pesticide residues exist in the detection object according to the corresponding indication on the test paper; the actions executed by the modules can be controlled by an operator or automatically executed by matching with an intelligent mechanical arm;
as one embodiment of the present invention, a purification treatment module includes: the device comprises a result screening module, a purifying agent preparation module and a purifying precipitation module;
specifically, the result screening module is mainly used for analyzing pesticide residues according to the three results; when the color card color change degree reaches the pesticide residue judging index, judging that the final result is a pesticide residue result no matter the detection result of the visual detection module or the soaking detection module; when the color card color change degree does not reach the pesticide residue judging index, if the detection results of the visual detection module or the soaking detection module are pesticide residue existing results, judging that the final result is a pesticide residue result; when the color card color change degree does not reach the pesticide residue judging index, if one pesticide residue result exists in the detection result of the visual detection module or the soaking detection module, judging that the final result is a non-pesticide residue result;
specifically, the purifying agent preparation module is used for preparing a pesticide residue purifying agent for pesticide residue adsorption on the detected object; the preparation operation is as follows: the preparation module of the purifying agent is used for soaking melon peel in deionized water, and sequentially drying, crushing and carbonizing the soaked melon peel to finally obtain melon peel carbonized material; the purifying agent preparation module is used for soaking the melon peel carbonized material in zinc chloride aqueous solution, and sequentially drying and sieving the soaked melon peel carbonized material after soaking, so that a finally obtained product is the pesticide residue adsorbent; the pesticide residue adsorbent can be used as a purifying agent; in this embodiment, the soaking time is 8 hours; the concentration of the zinc chloride aqueous solution is 25wt%; in this embodiment, the melon peel includes, but is not limited to: watermelon peel;
specifically, the purifying and precipitating module is used for purifying the detection object of which the result screening module judges as the pesticide residue result; the purifying sedimentation module is provided with a purifying tank, and purified water and a temperature control module are arranged in the purifying tank; the purification operation is as follows: the purifying and precipitating module is used for placing a detected object carrying pesticide residues in a purifying pond, and controlling the temperature control module to adjust the temperature of purified water to 15 ℃; after waiting for 10min, the purifying and precipitating module is provided with an ozone generator in the purifying tank, and the detected object is subjected to ozone sterilization and degradation; and after waiting for 10min again, the purifying and precipitating module places the prepared purifying agent into a purifying pond to adsorb the pesticide on the detection object carrying the pesticide residue again, so that the whole purifying process is completed.
Example 2
This embodiment provides an automated pesticide residue purifying method based on the same inventive concept as that of the automated pesticide residue purifying system described in embodiment 1, as shown in fig. 2, comprising the steps of:
s100, classifying the agricultural product to-be-detected objects;
the step S100 specifically includes: storing a plurality of kinds of agricultural product characteristic images; acquiring a feature image of an object to be detected of the agricultural product; judging the category of the agricultural product object to be detected according to a plurality of agricultural product characteristic images; the categories include: with or without coating.
S200, carrying out pesticide residue detection pretreatment on the agricultural product to be detected according to the type of the agricultural product to be detected;
the step S200 specifically includes: setting flushing force according to the type of the agricultural product to be detected; washing and cleaning the agricultural product to-be-detected object according to the washing force; setting a segmentation force according to the category of the agricultural product object to be detected; cutting the agricultural product object to be detected according to the cutting force to obtain a first sub-detection object and a second sub-detection object; homogenizing the first sub-detection object to obtain a liquid detection object; the third processing module sets the second sub-detector as a solid-state detector.
S300, detecting pesticide residues in visual dimension and color card dimension of the agricultural product to be detected after the detection pretreatment;
the step S300 specifically includes: identifying the appearance and the texture of the solid detection object, and judging whether pesticide residues exist or not in the solid detection object according to the appearance and the texture; soaking the solid detection object by adopting clear water, and judging whether the solid detection object has pesticide residues or not according to the color condition of the soaking water; and soaking the pesticide residue test paper in the liquid detection object, and judging whether the pesticide residue exists or not in the liquid detection object according to the color change degree of the pesticide residue test paper.
S400, analyzing agricultural products carrying pesticide residues according to the visual dimension and the pesticide residue detection result of the color card dimension; and purifying the agricultural products carrying the pesticide residues.
The step S400 specifically includes: setting a detection result as a pesticide residue result when the pesticide residue exists in the liquid detection object; setting a detection result as a pesticide residue result when the pesticide residue does not exist in the liquid detection object and the pesticide residue exists in the solid detection object; preparing a pesticide residue purifying agent for pesticide residue adsorption of the agricultural product to be detected, wherein the detection result is a pesticide residue result; and purifying the pesticide residue of the agricultural product to be detected, wherein the detection result is the pesticide residue result, based on the pesticide residue purifying agent.
The preparation process of the pesticide residue purifying agent comprises the following steps: soaking melon peel in deionized water; sequentially drying, crushing and carbonizing the soaked melon and fruit peel to obtain melon and fruit peel carbonized material; soaking the melon peel carbonized material in zinc chloride water solution; and sequentially drying and sieving the soaked melon peel carbonized material to obtain the pesticide residue adsorbent.
The pesticide residue purifying process comprises the following steps: placing the agricultural product to be detected with the detection result being the pesticide residue result into a purifying tank containing pure water; adjusting the temperature of the purified water to 15 ℃; after the temperature is regulated for 10min, an ozone generator is placed in the purifying tank to perform sterilization treatment on the agricultural product to be detected; after the sterilization treatment is carried out for 10min, the pesticide residue adsorbent is placed into a purifying tank, and the pesticide residue adsorption treatment is carried out on the agricultural product to-be-detected object.
Example 3
The present embodiment provides a computer-readable storage medium including:
the storage medium is used for storing computer software instructions for implementing the automated pesticide residue purification method described in the above embodiment 2, and the computer software instructions include programs for executing the above program set for the automated pesticide residue purification method; specifically, the executable program may be built in the automated pesticide residue cleaning system described in embodiment 1, so that the automated pesticide residue cleaning system may implement the automated pesticide residue cleaning method described in embodiment 2 by executing the built-in executable program.
Further, the computer readable storage medium provided in the present embodiment may be any combination of one or more readable storage media, where the readable storage media includes an electric, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination thereof.
Example 4
The present embodiment provides an electronic device, as shown in fig. 3, which may include: the device comprises a processor 1501, a communication interface 1502, a memory 1503 and a communication bus 1504, wherein the processor 1501, the communication interface 1502 and the memory 1503 are in communication with each other through the communication bus 1504.
A memory 1503 for storing a computer program;
the processor 1501, when executing the computer program stored in the memory 1503, implements the steps of the automated pesticide residue cleaning method described in embodiment 1.
As an embodiment of the present invention, the communication bus mentioned by the above-mentioned terminal may be a peripheral component interconnect standard (Peripheral Component Interconnect, abbreviated as PCI) bus or an extended industry standard architecture (Extended Industry Standard Architecture, abbreviated as EISA) bus, or the like. The communication bus may be classified as an address bus, a data bus, a control bus, or the like. For ease of illustration, only one thick line is shown in fig. 3, but not only one bus or one type of bus.
As an embodiment of the present invention, a communication interface is used for communication between the terminal and other devices.
As an embodiment of the present invention, the memory may include a random access memory (Random Ac cess Memory, abbreviated as RAM) or may include a non-volatile memory (non-volatile memory), such as at least one disk memory. Optionally, the memory may also be at least one memory device located remotely from the aforementioned processor.
As an embodiment of the present invention, the above-mentioned processor may be a general-purpose processor, including a central processing unit (Central Processing Unit, abbreviated as CPU), a network processor (Network Processor, abbreviated as NP), and the like; but also digital signal processors (Digital Signal Processing, DSP for short), application specific integrated circuits (Application Specific Integrated Circuit, ASIC for short), field-programmable gate arrays (Field-Programmable Gate Array, FPGA for short) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components.
Compared with the prior art, the automatic pesticide residue purifying system, method, equipment and medium can be used for carrying out multidimensional pesticide residue detection and multi-step pesticide residue purifying treatment on different types of agricultural products, and are beneficial to reducing or even eliminating residues in the agricultural products.
It should be understood that, in the various embodiments herein, the sequence number of each process described above does not mean the sequence of execution, and the execution sequence of each process should be determined by its functions and internal logic, and should not constitute any limitation on the implementation process of the embodiments herein.
It should also be understood that in embodiments herein, the term "and/or" is merely one relationship that describes an associated object, meaning that three relationships may exist. For example, a and/or B may represent: a exists alone, A and B exist together, and B exists alone. In addition, the character "/" herein generally indicates that the front and rear associated objects are an "or" relationship.
Those of ordinary skill in the art will appreciate that the elements and algorithm steps described in connection with the embodiments disclosed herein may be embodied in electronic hardware, in computer software, or in a combination of the two, and that the elements and steps of the examples have been generally described in terms of function in the foregoing description to clearly illustrate the interchangeability of hardware and software. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the solution. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present disclosure.
It will be clear to those skilled in the art that, for convenience and brevity of description, specific working procedures of the above-described systems, apparatuses and units may refer to corresponding procedures in the foregoing method embodiments, and are not repeated herein.
In the several embodiments provided herein, it should be understood that the disclosed systems, devices, and methods may be implemented in other ways. For example, the apparatus embodiments described above are merely illustrative, e.g., the division of the units is merely a logical function division, and there may be additional divisions when actually implemented, e.g., multiple units or components may be combined or integrated into another system, or some features may be omitted or not performed. In addition, the coupling or direct coupling or communication connection shown or discussed with each other may be an indirect coupling or communication connection via some interfaces, devices, or elements, or may be an electrical, mechanical, or other form of connection.
The units described as separate units may or may not be physically separate, and units shown as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the elements may be selected according to actual needs to achieve the objectives of the embodiments herein.
In addition, each functional unit in the embodiments herein may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit. The integrated units may be implemented in hardware or in software functional units.
The integrated units, if implemented in the form of software functional units and sold or used as stand-alone products, may be stored in a computer readable storage medium. Based on such understanding, the technical solutions herein are essentially or portions contributing to the prior art, or all or portions of the technical solutions may be embodied in the form of a software product stored in a storage medium, including several instructions to cause a computer device (which may be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the methods described in the embodiments herein. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a random access Memory (RAM, random Access Memory), a magnetic disk, or an optical disk, or other various media capable of storing program codes.
The foregoing description is only illustrative of the present invention and is not intended to limit the scope of the invention, and all equivalent structures or equivalent processes or direct or indirect application in other related technical fields are included in the scope of the present invention.

Claims (10)

1. An automated pesticide residue purification system, comprising: the device comprises a detection object classification module, a pretreatment module, a multi-dimensional detection module and a purification treatment module;
the detection object classification module is used for classifying the agricultural product objects to be detected;
the pretreatment module is used for carrying out pesticide residue detection pretreatment on the agricultural product to be detected according to the type of the agricultural product to be detected;
the multidimensional detection module is used for detecting pesticide residues in visual dimension and color card dimension of the agricultural product to be detected after the detection pretreatment;
the purification processing module is used for analyzing agricultural products carrying pesticide residues according to the visual dimension and the pesticide residue detection result of the color card dimension; and the purification treatment module is used for purifying the agricultural products carrying pesticide residues.
2. An automated pesticide residue purification system as set forth in claim 1 wherein:
the detection object classification module comprises: the device comprises a database module, an identification module and a characteristic comparison module;
the database module is used for storing a plurality of types of agricultural product characteristic images;
the identification module is used for acquiring a feature image of an object to be detected of the agricultural product;
the characteristic comparison module is used for judging the category of the agricultural product object to be detected according to a plurality of agricultural product characteristic images; the categories include: with or without coating.
3. An automated pesticide residue purification system as in claim 2, wherein:
the preprocessing module comprises: the device comprises a first processing module, a second processing module and a third processing module;
the first processing module is used for setting flushing strength according to the type of the agricultural product to be detected; the first processing module washes and cleans the agricultural product to-be-detected object according to the washing force;
the second processing module is used for setting the segmentation strength according to the category of the agricultural product object to be detected; the second processing module cuts the agricultural product object to be detected according to the cutting force to obtain a first sub-detection object and a second sub-detection object;
the third processing module is used for carrying out homogenization treatment on the first sub-detection object to obtain a liquid detection object; the third processing module sets the second sub-detector as a solid-state detector.
4. An automated pesticide residue purification system as in claim 3, wherein:
the multi-dimensional detection module comprises: the device comprises a visual detection module, a soaking detection module and a color card detection module;
the visual detection module is used for identifying the appearance and the texture of the solid detection object, and judging whether the solid detection object has pesticide residues or not according to the appearance and the texture;
the soaking detection module is used for soaking the solid detection object by adopting clear water, and judging whether the solid detection object has pesticide residues or not according to the color condition of the soaking water;
the color card detection module is used for soaking the pesticide residue test paper in the liquid detection object, and the color card detection module judges whether the pesticide residue exists or not in the liquid detection object according to the color change degree of the pesticide residue test paper.
5. An automated pesticide residue purification system as in claim 4, wherein:
the purification treatment module comprises: the device comprises a result screening module, a purifying agent preparation module and a purifying precipitation module;
the result screening module is used for setting a detection result as a pesticide residue result when the pesticide residue exists in the liquid detection object; the result screening module sets a detection result as a pesticide residue result when the liquid detection object does not have pesticide residue and the visual detection module and the soaking detection module both judge that the solid detection object has pesticide residue;
the purifying agent preparation module is used for preparing a pesticide residue purifying agent for pesticide residue adsorption on the agricultural product to be detected, the detection result of which is a pesticide residue result;
the purification and precipitation module is used for purifying pesticide residues on the agricultural product to-be-detected object, the detection result of which is the pesticide residue result, based on the pesticide residue purifying agent.
6. An automated pesticide residue purification system as in claim 5, wherein:
the purifying agent preparation module is used for soaking melon and fruit peels in deionized water;
the purifying agent preparation module is used for sequentially drying, crushing and carbonizing soaked melon and fruit peels to obtain melon and fruit peel carbonized materials;
the purifying agent preparation module is used for soaking the melon peel carbonized material in zinc chloride aqueous solution;
the purifying agent preparation module is used for sequentially drying and sieving the soaked melon peel carbonized material to obtain the pesticide residue adsorbent.
7. An automated pesticide residue purification system as in claim 6, wherein:
the purification and precipitation module is used for placing the agricultural product to-be-detected object with the detection result being the pesticide residue result into a purification tank filled with purified water;
the purification and precipitation module is used for adjusting the temperature of the purified water to 15 ℃;
the purification and precipitation module is used for carrying out sterilization treatment on the agricultural product to be detected by placing an ozone generator into the purification tank after adjusting the temperature for 10 min;
and the purification and precipitation module is used for placing the pesticide residue adsorbent into a purification tank after the sterilization treatment is carried out for 10min, and carrying out pesticide residue adsorption treatment on the agricultural product to be detected.
8. An automatic pesticide residue purifying method is characterized by comprising the following steps:
classifying the agricultural product to-be-detected objects;
carrying out pesticide residue detection pretreatment on the agricultural product to be detected according to the category of the agricultural product to be detected;
detecting pesticide residues in visual dimension and color card dimension of the agricultural product to be detected after the detection pretreatment;
analyzing agricultural products carrying pesticide residues according to the visual dimension and the pesticide residue detection result of the color card dimension; and purifying the agricultural products carrying the pesticide residues.
9. A computer readable storage medium, characterized in that the computer readable storage medium has stored thereon a computer program which, when executed by a processor, implements the steps of the automated pesticide residue cleaning method of claim 8.
10. A computer device comprising a processor, a communication interface, a memory and a communication bus, wherein the processor, the communication interface, the memory complete communication with each other through the communication bus; wherein:
the memory is used for storing a computer program;
the processor is configured to execute the steps of the automated pesticide residue cleaning method of claim 8 by running a program stored on the memory.
CN202311404176.9A 2023-10-26 2023-10-26 Automatic pesticide residue purifying system, method, equipment and medium Pending CN117426531A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202311404176.9A CN117426531A (en) 2023-10-26 2023-10-26 Automatic pesticide residue purifying system, method, equipment and medium

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202311404176.9A CN117426531A (en) 2023-10-26 2023-10-26 Automatic pesticide residue purifying system, method, equipment and medium

Publications (1)

Publication Number Publication Date
CN117426531A true CN117426531A (en) 2024-01-23

Family

ID=89556388

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202311404176.9A Pending CN117426531A (en) 2023-10-26 2023-10-26 Automatic pesticide residue purifying system, method, equipment and medium

Country Status (1)

Country Link
CN (1) CN117426531A (en)

Similar Documents

Publication Publication Date Title
Hell et al. Aflatoxin control and prevention strategies in maize for Sub-Saharan Africa
Hemming et al. PA—Precision agriculture: Computer-vision-based weed identification under field conditions using controlled lighting
Neethirajan et al. Detection techniques for stored-product insects in grain
Rajendran Detection of insect infestation in stored foods
Wheater Prey detection by some predatory Coleoptera (Carabidae and Staphylinidae)
Indu et al. Optimization of pesticides spray on crops in agriculture using machine learning
CN117426531A (en) Automatic pesticide residue purifying system, method, equipment and medium
Abdel-Baky et al. Genetic diversity of palm weevils, Rhynchophorus Species (Coleoptera: Curculionidae) by mitochondrial COI gene sequences declares a new species, R. bilineatus in Qassim, Saudi Arabia
Peacock et al. Development of food preferences: social learning by Belding's ground squirrels Spermophilus beldingi
Felton et al. Using reflectance sensors in agronomy and weed science
US20240021273A1 (en) Computer-implemented method for providing training data for a machine learning algorithm for classifying plants infested with a pathogen
Devi et al. Pesticides contamination in potatoes and associated health risk to population with respect detection limits
Meikle et al. Evaluation of sequential sampling plans for the larger grain borer (Coleoptera: Bostrichidae) and the maize weevil (Coleoptera: Curculionidae) and of visual grain assessment in West Africa
Bagumire et al. Potential sources of food hazards in emerging commercial aquaculture industry in sub‐Saharan Africa: a case study for Uganda
Khan et al. A review of x-ray for detection of insect infestation in fruits and vegetables
De Baerdemaeker et al. Good Agricultural Practices, Quality, Traceability, and Precision Agriculture
DE102015122561B4 (en) Procedure for tracing agricultural products
Legrand et al. Visual responses of Lygus lineolaris and Lygocoris spp.(Hemiptera: Miridae) on peaches
Davis Optimizing the salt filter test to monitor spotted wing drosophila larval infestation levels in blueberries
Endepols Rodenticides-indispensable for safe food production
Andow Biological invasions: Assessment and management of environmental risk
Ridgway et al. AE—Automation and Emerging Technologies: Rapid Machine Vision Method for the Detection of Insects and other Particulate Bio-contaminants of Bulk Grain in Transit
Fuentes Davila Update on Karnal bunt research in Mexico
WO2001040795A2 (en) Method for determining that a product has been organically produced
Boddepalli et al. A Convolutional Artificial Intelligence for Disease Classification in Fruits and Vegetables

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication