WO2019109583A1

WO2019109583A1 - Disease control method and apparatus, electronic device and computer-readable storage medium

Info

Publication number: WO2019109583A1
Application number: PCT/CN2018/084455
Authority: WO
Inventors: 郭靖
Original assignee: 深圳春沐源控股有限公司
Priority date: 2017-12-05
Filing date: 2018-04-25
Publication date: 2019-06-13
Also published as: CN107992828A

Abstract

Provided are a disease control method and apparatus, an electronic device and a computer-readable storage medium. The disease control method comprises: acquiring an image of currently grown plants in a target area; determining whether the currently grown plants are abnormal by performing image recognition on the image; after determining that the currently grown plants are abnormal, acquiring a pre-configured disease data set of the currently grown plants; determining, from the disease data set of the currently grown plants, a current disease type of the currently grown plants and a disease grade corresponding to the current disease type; acquiring a pre-configured control strategy set of the currently grown plants; and according to the disease grade corresponding to the current disease type, determining a control strategy of the current disease from the control strategy set of the currently grown plants. By means of the present invention, a plant disease is effectively controlled by means of prevention first and cure second, and a quick and directed treatment measure is taken for the plant disease.

Description

Disease prevention method and device, electronic device and computer readable storage medium

This application claims priority to Chinese Patent Application No. 201711269086.8, entitled "Disease Prevention Methods and Devices, Electronic Devices, and Computer Readable Storage Media", filed on December 5, 2017, the entire contents of which are hereby incorporated by reference. This is incorporated herein by reference.

Technical field

The invention relates to the technical field of disease prevention and control, in particular to a disease prevention method and device, an electronic device and a computer readable storage medium.

Background technique

With the modernization and large-scale development of agricultural planting, intensive large-scale planting of crops has also caused the problem of crop management to be highlighted, and the prevention and control methods for crop diseases are backward, the response speed of disease control is slow, and the treatment measures are not targeted.

In the prior art solution, pure physical control means are usually adopted, for example, the insecticidal lamp is turned on during the whole life cycle of the plant, which will have an impact on the growth of the plant. Therefore, it is necessary to design a disease prevention and control measure that is mainly based on prevention and treatment.

Summary of the invention

In view of the above, it is necessary to provide a disease prevention method and device, an electronic device and a computer readable storage medium, which can effectively prevent and control plant diseases through prevention and treatment, and the prevention and treatment means supplemented by treatment. Plant diseases take rapid and targeted treatments.

A disease prevention method, the method comprising:

Obtain an image of the current plant in the target area;

Determining whether the current plant is abnormal by performing image recognition on the image;

Obtaining a pre-configured disease data set of the current plant after determining the current plant abnormality;

Determining, from the disease data set of the current plant, a current disease type of the current plant and a disease level corresponding to the current disease type;

Obtaining a pre-configured set of control strategies for the current plant;

According to the disease level corresponding to the current disease type, the prevention and control strategy of the current disease is determined from the current control strategy of the current plant.

According to a preferred embodiment of the present invention, determining, from the disease data set of the current plant, the current disease type of the current plant and the disease level corresponding to the current disease type include:

Obtaining a current time, matching the current time with a pre-configured growth period period, determining a current growth period corresponding to the current plant, and obtaining disease data of the current growth period from the disease data set of the current plant, and the image is Matching disease data for the current growth cycle and determining the current disease type of the current plant; or

Obtaining the current time, matching the current time with the pre-configured disease peak time period, and obtaining the matched disease peak from the current plant disease data set when determining that the current time is within a matching disease peak time period Disease data within the time period, matching the image to disease data within the matched disease peak time period, and determining the current disease type of the current plant.

According to a preferred embodiment of the present invention, the image is matched with the disease data of the current growth cycle, and the current disease type of the current plant is determined to include:

Comparing the image with a standard image in the disease data of the current growth period to obtain a number of difference pixels, and determining a difference pixel range of the number of the difference pixels in the disease data of the current growth period, Determining the type of the disease corresponding to the difference pixel range is determined as the disease type of the current plant, and determining the difference pixel number of the difference pixel in the difference pixel range of the disease type of the current plant, the The disease level corresponding to the difference pixel segment is determined as the disease level corresponding to the current disease type; or

The matching the image with the disease data in the matched disease peak time period to determine the current disease type of the current plant includes:

Comparing the image with a standard image in the disease data in the matched disease peak time period to obtain the number of difference pixels, and determining the disease data of the number of the difference pixels in the matched disease peak time period. Determining the difference pixel range, determining the disease type corresponding to the determined difference pixel range as the disease type of the current plant, and determining the difference of the number of the difference pixels in the matching disease peak time period A differential pixel segment to which the pixel segment belongs, and a disease level corresponding to the difference pixel segment is determined as a disease level corresponding to the current disease type.

According to a preferred embodiment of the present invention, according to the disease level corresponding to the current disease type, the prevention and control strategies for determining the current disease type from the current prevention and treatment strategy of the current plant include:

Obtaining a prevention and treatment strategy matching the disease level corresponding to the current disease type according to the disease level corresponding to the current disease type, and obtaining the prevention and treatment strategy as the current disease type Prevention strategy.

According to a preferred embodiment of the present invention, the method further includes:

Determining a predicted amount of the drug for the current disease when there is a chemical control method in determining a control strategy for the current disease;

Generating a drug delivery receipt and/or a purchase demand order based on the predicted value of the current disease drug use amount.

Receiving a drug withdrawal request form;

When the amount of the request in the drug withdrawal request form is determined to be the same as the predicted value of the drug use amount of the current disease, the delivery instruction is issued.

Determining a pesticide safety period of the current plant when there is a chemical control method in determining a control strategy for the current disease;

During the pesticide safety period of the current plant, an instruction to prohibit the picking of the current plant is issued.

A disease prevention device, the device comprising:

An acquisition unit, configured to acquire an image of a current plant of the target area;

a determining unit, configured to determine whether the current plant is abnormal by performing image recognition on the image;

The acquiring unit is further configured to acquire a pre-configured disease data set of the current plant after determining the current plant abnormality;

The determining unit is further configured to determine, according to the disease data set of the current plant, a current disease type of the current plant and a disease level corresponding to the current disease type;

The acquiring unit is further configured to acquire a pre-configured set of prevention and control strategies of the current plant;

The determining unit is further configured to determine, according to the disease level corresponding to the current disease type, the prevention and control strategy of the current disease from the current prevention and control strategy of the current plant.

According to a preferred embodiment of the present invention, the determining unit determines, from the disease data set of the current plant, the current disease type of the current plant and the disease level corresponding to the current disease type, including:

According to a preferred embodiment of the present invention, the determining unit matches the image with the disease data of the current growth period, and determining the current disease type of the current plant includes:

The determining unit matches the image with the disease data in the matched disease peak time period, and determining the current disease type of the current plant includes:

According to a preferred embodiment of the present invention, the determining unit determines, according to the disease level corresponding to the current disease type, from the current plant control strategy, the prevention and control strategies of the current disease type include:

According to a preferred embodiment of the present invention, the determining unit is further configured to:

And a generating unit, configured to generate a drug outbound order and/or a purchase demand order according to the predicted value of the drug use amount of the current disease.

According to a preferred embodiment of the present invention, the apparatus further includes:

a receiving unit, configured to receive a medicine outbound request form;

And an outbound unit, configured to issue a delivery instruction when determining that the requested amount in the drug outbound request form is the same as the predicted amount of the current disease drug use amount.

The prohibition unit is further configured to issue an instruction to prohibit the picking of the current plant during the pesticide safety period of the current plant.

An electronic device, the electronic device comprising:

Processor; and

A memory, instructions stored in the memory are executed by the processor to implement the disease prevention method.

A computer readable storage medium, the instructions stored in the computer readable storage medium being executed by a processor in an electronic device to implement the disease prevention method.

As can be seen from the above technical solution, the present invention can determine the prevention and control strategy of the current disease by judging the current disease type of the current plant and the disease level corresponding to the current disease type. The invention can realize effective prevention and treatment of plant diseases by taking prevention and treatment as the main prevention and treatment, and adopts rapid and targeted treatment measures for plant diseases.

DRAWINGS

BRIEF DESCRIPTION OF THE DRAWINGS Fig. 1 is a flow chart showing a preferred embodiment of the method for controlling disease according to the present invention.

Figure 2 is a functional block diagram of a preferred embodiment of the disease prevention device of the present invention.

3 is a schematic structural view of an electronic device according to a preferred embodiment of the method for preventing disease prevention according to the present invention.

Detailed ways

The present invention will be described in detail below with reference to the drawings and specific embodiments.

As shown in Fig. 1, it is a flow chart of a preferred embodiment of the disease prevention method of the present invention. The order of the steps in the flowchart may be changed according to different requirements, and some steps may be omitted.

The disease prevention method is applied to one or more electronic devices, which are devices capable of automatically performing numerical calculation and/or information processing according to preset or stored instructions, the hardware of which includes but is not limited to A microprocessor, an application specific integrated circuit (ASIC), a field-programmable gate array (FPGA), a digital signal processor (DSP), an embedded device, and the like.

The electronic device can be any electronic product that can interact with a user, such as a personal computer, a tablet, a smart phone, a personal digital assistant (PDA), a game machine, an interactive network television ( Internet Protocol Television (IPTV), smart wearable devices, etc.

The electronic device may also include a network device and/or a user device. The network device includes, but is not limited to, a single network server, a server group composed of multiple network servers, or a cloud computing-based cloud composed of a large number of hosts or network servers.

The network in which the electronic device is located includes, but is not limited to, the Internet, a wide area network, a metropolitan area network, a local area network, a virtual private network (VPN), and the like.

S10. The electronic device acquires an image of a current plant of a target area.

In at least one embodiment of the present invention, the acquiring, by the electronic device, an image of a current plant of the target area includes:

The electronic device acquires a current time, and when determining that the current time is within a pre-configured disease peak time period, acquires an image of the current plant of the target area according to the specified frequency.

In at least one embodiment of the invention, the target area includes areas where disease control is required for the plant, and the invention is not limited.

In at least one embodiment of the present invention, the specified frequency can be reasonably set by an experienced person according to experience, and the invention is not limited.

In at least one embodiment of the present invention, the electronic device pre-configures the peak period of the disease by analyzing a large amount of data of the time of occurrence of the disease of the current plant in the past. Preferably, the pre-configured disease peak time period may include a plurality.

With the above embodiment, the electronic device can flexibly configure the frequency of acquiring the image of the current plant of the target area according to the time when the current plant is located.

Specifically, when the current plant is in the pre-configured disease peak period, the electronic device may increase the frequency of acquiring the image of the current plant of the target area to achieve better prevention. The effect; or, when the current plant is not in the pre-configured disease peak period, the electronic device may reduce the frequency of acquiring the image of the current plant of the target area, so as to Reduce the unnecessary energy waste while preventing.

For example, when the electronic device acquires the current time and determines that the current time is within a pre-configured disease peak time period, the electronic device may set an image of the current plant of the target area once every half hour; or When the electronic device acquires the current time and determines that the current time is not within the pre-configured disease peak time period, the electronic device may decrease the specified frequency, and set the current time of the target area to be acquired once per hour. An image of a plant.

S11. The electronic device determines whether the current plant is abnormal by performing image recognition on the image.

In at least one embodiment of the present invention, the electronic device may perform image recognition on the image by recognizing a color value of the pixel, or adopt another image recognition manner, which is not limited by the present invention.

For example, the electronic device can compare each pixel in the image with each pixel in a pre-configured standard image to obtain the number of difference pixels. When the number of the difference pixels is greater than or equal to a preset value, the electronic device determines that the current plant abnormality.

Preferably, the pre-configured standard image may be uploaded to the system periodically by the relevant staff member, or may be retrieved by the electronic device from the pre-configured standard image library according to the current time, which is not limited by the present invention.

Preferably, the preset value is a criterion for determining whether the current plant is abnormal, and may be set by a related technician according to actual experience. For example: the preset values are 10, 15, and so on.

S12. After determining the current plant abnormality, the electronic device acquires a pre-configured disease data set of the current plant.

In at least one embodiment of the present invention, the disease data set of the current plant can be configured by the relevant staff according to information such as the type and time of the disease of the current plant.

For example, the electronic device may configure the disease data set of the current plant according to the disease data in each growth period of the current plant, or configure the disease data according to the disease peak time period of the current plant. The disease data set of the current plant is combined with the above two methods, and the disease data may include, but is not limited to, a disease type, a disease level corresponding to the disease type, and the like.

It should be noted that the disease includes, but is not limited to, plant diseases, insect pests and the like of the current plant, and the invention is not limited.

S13. The electronic device determines, from the disease data set of the current plant, a current disease type of the current plant and a disease level corresponding to the current disease type.

In at least one embodiment of the present invention, the electronic device determines, from the disease data set of the current plant, the current disease type of the current plant and the disease level corresponding to the current disease type, including one of the following or A variety of combinations:

(1) The electronic device acquires a current time, matches the current time with a pre-configured growth cycle time period, determines a current growth period corresponding to the current plant, and obtains a current growth cycle from the current plant disease data set. Disease data, matching the image to disease data for the current growth cycle and determining the current disease type of the current plant.

In at least one embodiment of the invention, the growth cycle time period can include, but is not limited to, a seedling stage, a germination stage, a seedling stage, a flowering fruit setting period, and a fruiting stage, and the like.

For example, after the electronic device acquires the current time, after determining that the current time is in the nursery period, and according to the disease data set of the current plant, the current plant disease type in the nursery period is gray mold disease. The electronic device can then determine that the current disease type of the current plant is gray mold.

(2) The electronic device acquires the current time, matches the current time with the pre-configured disease peak time period, and collects the disease data from the current plant when determining that the current time is within a matching disease peak time period. Obtaining the disease data in the matched disease peak time period, matching the image with the disease data in the matched disease peak time period, and determining the current disease type of the current plant.

For example, after the current time is obtained by the electronic device, when the current time is determined to be within a pre-configured disease peak time period, and according to the current plant disease data set, the pre-configured disease peak time is The disease type of the current plant within the segment is gray mold, and the electronic device can determine that the current disease type of the current plant is gray mold.

Specifically, the electronic device matches the image with the disease data of the current growth period, and determining the current disease type of the current plant includes:

The electronic device compares the image with a standard image in the disease data of the current growth cycle to obtain a number of difference pixels, and determines a difference between the number of the difference pixels in the disease data of the current growth cycle. a pixel range, determining a disease type corresponding to the determined difference pixel range as the disease type of the current plant, and determining a difference pixel number of the difference pixel in the difference pixel range of the disease type of the current plant And determining a disease level corresponding to the difference pixel segment as a disease level corresponding to the current disease type.

For example, the electronic device compares the image with a standard image in the disease data of the current growth cycle, and the number of difference pixels is 14, and the associated difference pixel range is 10-20, and 10-20 corresponds to The type of disease is gray mold, in which 14 different pixels belong to 10-15 in the difference pixel range of 10-20 in the difference pixel range of gray mold, and the disease level of 10-15 is primary, the electronic device It can be determined that the current plant is at the gray mold level.

Specifically, the electronic device matches the image with the disease data in the matched disease peak time period, and determining the current disease type of the current plant includes:

The electronic device compares the image with a standard image in the disease data in the matched disease peak time period to obtain a number of different pixels, and determines the number of the difference pixels in the matched disease peak time period The difference pixel range to which the disease data belongs is determined, the disease type corresponding to the determined difference pixel range is determined as the disease type of the current plant, and the number of the difference pixels is determined within the matching disease peak time period. The difference pixel segment to which the difference in the pixel range belongs is determined by the disease type of the disease type, and the disease level corresponding to the difference pixel segment is determined as the disease level corresponding to the current disease type.

For example, the electronic device compares the image with a standard image in the disease data during the peak period of the matched disease, and the number of difference pixels is 18, and the difference pixel range belongs to 10-20. The corresponding disease type of 10-20 is gray mold disease, in which 18 different pixels belong to the difference pixel segment within the range of 10-20 of gray mold, which is 16-20, and the disease level of 16-20 is advanced. The electronic device can determine that the current plant is in a gray mold stage.

S14. The electronic device acquires a pre-configured set of prevention strategies of the current plant.

In at least one embodiment of the invention, the current set of control strategies for the plant can be configured by the relevant staff based on actual experience.

In at least one embodiment of the present invention, in the current control strategy of the current plant, each disease corresponds to at least one level, and each of the at least one level corresponds to at least one prevention method, wherein:

When the higher level indicates that the disease degree is more serious, when the level is less than or equal to the preset level, the non-chemical control method is adopted, and when the level is greater than the preset level, the chemical prevention method is adopted; or, the higher the level indicates the degree of disease The lighter the time, when the level is less than or equal to the preset level, the chemical control method is adopted, and when the level is greater than the preset level, the non-chemical control method is adopted.

In this way, the electronic device can adopt different prevention and treatment means according to the severity of the disease. When the disease degree is light, the physical control means such as insecticidal lamp or the environment adjustment is preferentially used (such as lowering the temperature, increasing the humidity, and increasing the oxygen content). Or, etc., or, when the degree of disease is heavier, the crops are strictly controlled by the disease level, so that the concept of organic and green planting is realized in a closed greenhouse environment, and the treatment method is more targeted.

In at least one embodiment of the present invention, the electronic device may further turn on an early warning device (for example, a flashing light device or the like) in the target area, and turn off the early warning device after the abnormality is eliminated, so that not only the Timely notify staff of plant abnormalities, and also lock the area where anomalies occur.

S15. The electronic device determines, according to the disease level corresponding to the current disease type, the prevention and control strategy of the current disease from the current prevention and control strategy of the current plant.

In at least one embodiment of the present invention, the prevention and treatment strategies for determining the current disease type from the current plant control strategy concentration according to the disease level corresponding to the current disease type include:

Obtaining, according to the disease level corresponding to the current disease type, the electronic device from the current plant control strategy, obtaining a prevention and treatment strategy matching the disease level corresponding to the current disease type, and using the acquired prevention strategy as the Current prevention and treatment strategies for disease types.

For example, when the electronic device determines that the current plant is in the second stage of gray mold, in the current prevention and control strategy of the plant, the prevention strategy corresponding to the gray mold level is to use the drug A, then the electron The device determines that the current plant corresponding control strategy is to use drug A.

In at least one embodiment of the present invention, when the electronic device has a chemical control method in determining a control strategy for the current disease, determining a predicted amount of the drug for the current disease, and determining the amount of the drug according to the current disease. The predicted value generates a drug outbound order and/or a purchase request form.

For example, after the electronic device determines that the prevention strategy is to use the drug A, the predicted value of the drug A is determined to be 150 mL according to the disease level of the current plant, and the electronic device combines the drug. The stock amount of A generates a medicine discharge order of the medicine A. If the stock amount of the medicine A is less than 150 mL, the electronic equipment generates a medicine purchase demand sheet of the medicine A according to the insufficient portion.

In at least one embodiment of the present invention, the electronic device receives a drug delivery request form, and issues a delivery when the amount of the request in the drug withdrawal request form is the same as the predicted value of the current disease drug usage amount. instruction.

Through the above embodiment, it is possible to avoid the occurrence of excessive use of the drug, which not only reduces waste, but also avoids the influence of the overdose on the growth of the plant.

In at least one embodiment of the present invention, when the electronic device has a chemical control method in determining a control strategy for the current disease, determining a pesticide safety period of the current plant, and pesticide safety in the current plant During the period, an order prohibiting the picking of the current plant is issued.

For example, if the current plant uses the drug A, and the drug safety period of the drug A is 10 days, the electronic device records the time when the current plant uses the drug A (such as October 1) and the current plant use. Information such as the safety period after drug A (such as October 1 to 10), when the electronic device receives the picking instruction for picking the current plant on October 9, due to the October 9th During the security period after the current plant uses the drug A, the electronic device issues an instruction to prohibit the picking of the current plant, and may prompt the requester to prohibit the reason for the picking, and recommend the time at which the picking can be performed.

Through the above embodiments, it is possible to avoid planting logistics entering the market during the safety period of the pesticide, causing physical harm to the consumer.

Of course, in other embodiments, the electronic device may also control operations such as storing the library according to the safety period of the pesticide, and the invention is not limited.

In at least one embodiment of the present invention, after determining the prevention and control strategy of the current disease, the electronic device may provide the current disease prevention and control strategy to the relevant staff through application software or the like, so that the relevant staff may The current disease prevention and control strategy is prepared in advance to achieve efficient operation of the control process.

In summary, the present invention can acquire an image of a current plant in a target area; determine whether the current plant is abnormal by performing image recognition on the image; and obtain a pre-configured after determining the current plant abnormality a disease data set of the current plant; determining, from the disease data set of the current plant, a current disease type of the current plant and a disease level corresponding to the current disease type; acquiring the pre-configured current species A set of control strategies for plants; determining, according to the disease level corresponding to the current disease type, a control strategy for the current disease from the current control strategy of the current plant. Therefore, the present invention can achieve effective prevention and treatment of plant diseases by taking prevention and prevention as a main control means, and adopts rapid and targeted treatment measures for plant diseases, timely warning, timely intervention, and at the same time Develop a reasonable control strategy to increase production and reduce losses.

As shown in Fig. 2, it is a functional block diagram of a preferred embodiment of the disease prevention device of the present invention. The disease prevention device 11 includes an acquisition unit 110, a determination unit 111, a generation unit 112, a reception unit 113, a delivery unit 114, and a prohibition unit 115. The module/unit referred to in the present invention refers to a series of computer program segments that can be executed by the processor 13 and that can perform fixed functions, which are stored in the memory 12. In this embodiment, the functions of the respective modules/units will be detailed in the subsequent embodiments.

The acquisition unit 110 acquires an image of the current plant of the target area.

In at least one embodiment of the present invention, the acquiring unit 110 acquires an image of the current plant of the target area, including:

The obtaining unit 110 acquires the current time, and when determining that the current time is within the pre-configured disease peak time period, acquires an image of the current plant of the target area according to the specified frequency.

For example, when the acquiring unit 110 obtains the current time and determines that the current time is within a pre-configured disease peak time period, the electronic device may set an image of the current plant of the target area once every half hour; Or, when the electronic device acquires the current time and determines that the current time is not within the pre-configured disease peak time period, the electronic device may decrease the specified frequency, and set the target area to be acquired once per hour. An image of the current plant.

The determining unit 111 determines whether the current plant is abnormal by performing image recognition on the image.

In at least one embodiment of the present invention, the determining unit 111 may perform image recognition on the image by identifying a color value of the pixel, or adopt another image recognition manner, which is not limited by the present invention.

For example, the determining unit 111 may compare each pixel in the image with each pixel in a pre-configured standard image to obtain the number of difference pixels. When the number of the difference pixels is greater than or equal to a preset value, the determining unit 111 determines that the current plant abnormality.

After the determining unit 111 determines the current plant abnormality, the acquiring unit 110 acquires a pre-configured disease data set of the current plant.

The determining unit 111 determines, from the disease data set of the current plant, the current disease type of the current plant and the disease level corresponding to the current disease type.

In at least one embodiment of the present invention, the determining unit 111 determines, from the disease data set of the current plant, the current disease type of the current plant and the disease level corresponding to the current disease type, including the following one Or a combination of multiple:

(1) The determining unit 111 acquires the current time, matches the current time with the pre-configured growth period period, determines the current growth period corresponding to the current plant, and obtains the current growth period from the current plant disease data set. Disease data, matching the image to disease data for the current growth cycle and determining the current disease type of the current plant.

For example, after the current time is determined by the determining unit 111, after determining that the current time is in the seedling period, and according to the disease data set of the current plant, the disease type of the current plant at the seedling stage is gray mold The determining unit 111 may determine that the current disease type of the current plant is gray mold.

(2) The determining unit 111 acquires the current time, matches the current time with the pre-configured disease peak time period, and determines the disease data from the current plant when the current time is determined to be within a matching disease peak time period. The disease data in the matched disease peak time period is collected centrally, the image is matched with the disease data in the matched disease peak time period, and the current disease type of the current plant is determined.

For example, after the current time is determined, the determining unit 111 determines that the current time is within a pre-configured disease peak time period, and is in the pre-configured disease peak according to the current plant disease data set. The disease type of the current plant within the time period is gray mold, and the determining unit 111 may determine that the current disease type of the current plant is gray mold.

Specifically, the determining unit 111 matches the image with the disease data of the current growth period, and determining the current disease type of the current plant includes:

The determining unit 111 compares the image with a standard image in the disease data of the current growth period to obtain the number of difference pixels, and determines the number of the difference pixels belongs to the disease data of the current growth cycle. a difference pixel range, determining a disease type corresponding to the determined difference pixel range as the disease type of the current plant, and determining a difference pixel of the number of the difference pixels within a difference pixel range of the disease type of the current plant And determining a disease level corresponding to the difference pixel segment as a disease level corresponding to the current disease type.

For example, the determining unit 111 compares the image with a standard image in the disease data of the current growth period, and the number of difference pixels is 14, and the difference pixel range belongs to 10-20, and 10-20. The corresponding disease type is gray mold, in which 14 different pixels belong to the difference pixel segment within the difference pixel range 10-20 of gray mold is 10-15, and the disease level of 10-15 is primary, the determination Unit 111 can determine that the current plant is at the gray mold level.

Specifically, the determining unit 111 matches the image with the disease data in the matched disease peak time period, and determines that the current disease type of the current plant includes:

The determining unit 111 compares the image with a standard image in the disease data in the matched disease peak time period to obtain the number of different pixels, and determines the number of the difference pixels in the matched disease peak time. Determining the difference pixel range in the disease data in the segment, determining the disease type corresponding to the determined difference pixel range as the disease type of the current plant, and determining the number of the difference pixels in the matching disease peak time period The differential pixel segment to which the differential pixel segment belongs within the difference of the disease type, and the disease level corresponding to the differential pixel segment is determined as the disease level corresponding to the current disease type.

For example, the determining unit 111 compares the image with a standard image in the disease data in the peak period of the matched disease, and obtains 18 numbers of difference pixels, and the difference pixel range belongs to 10-20. The disease type corresponding to 10-20 is gray mold, in which 18 different pixels belong to the difference pixel segment within the range of 10-20 of gray mold, which is 16-20, and the disease level of 16-20 is advanced. The determining unit 111 may determine that the current plant is in the gray mold stage.

The acquiring unit 110 acquires a preset set of prevention strategies of the current plant.

The determining unit 111 determines the prevention and control strategy of the current disease from the current prevention and treatment strategy of the current plant according to the disease level corresponding to the current disease type.

In at least one embodiment of the present invention, the determining unit 111 determines, according to the disease level corresponding to the current disease type, from the current prevention and treatment strategy of the current plant, the prevention and control strategies of the current disease type include:

The determining unit 111 obtains a prevention and treatment strategy matching the disease level corresponding to the current disease type according to the disease level corresponding to the current disease type, and obtains the prevention and treatment strategy as the prevention strategy. Describe the current prevention and treatment strategies for disease types.

For example, when the determining unit 111 determines that the current plant is in the second stage of gray mold, in the prevention and control strategy of the current plant, the prevention strategy corresponding to the gray mold level is to use the drug A, then the The determining unit 111 determines that the current plant corresponding prevention strategy is to use the drug A.

In at least one embodiment of the present invention, the determining unit 111 determines a drug usage prediction value of the current disease when determining a chemical prevention and control method in the current disease prevention and control strategy, and the generating unit 112 is configured according to the current disease. The predicted drug usage value generates a drug outbound order and/or a purchase request form.

For example, the determining unit 111 determines that the drug A is determined according to the disease level of the current plant, and the predicted value of the drug A is 150 mL, and the generating unit 112 combines the The stock amount of the drug A is generated, and the drug delivery order of the drug A is generated. If the stock amount of the drug A is less than 150 mL, the generating unit 112 generates a drug purchase demand list of the drug A based on the insufficient portion.

In at least one embodiment of the present invention, the receiving unit 113 receives the drug delivery request form, and when the determining unit 111 determines that the request amount in the drug delivery request form is the same as the predicted drug consumption amount of the current disease The outbound unit 114 issues an outbound instruction.

In at least one embodiment of the present invention, the determining unit 111 determines a pesticide safety period of the current plant when there is a chemical control method in determining a prevention strategy of the current disease, During the pesticide safety period of the current plant, the prohibition unit 115 issues an instruction prohibiting the picking of the current plant.

For example, if the current plant uses the drug A, and the drug safety period of the drug A is 10 days, the electronic device records the time when the current plant uses the drug A (such as October 1) and the current plant use. Information such as the safety period after the drug A (such as October 1 to 10), when the receiving unit 113 receives the picking instruction for picking the current plant on October 9, due to the October 9th During the security period after the current plant uses the drug A, the prohibition unit 115 issues an instruction to prohibit the picking of the current plant, and may prompt the requester to prohibit the reason for the picking, and at the same time recommend the time that can be picked.

Through the above embodiments, the planting logistics in the period of safety of the pesticide can be avoided from entering the market, causing physical harm to the consumer.

FIG. 3 is a schematic structural view of an electronic device according to a preferred embodiment of the present invention for implementing a disease prevention method.

The electronic device 1 is a device capable of automatically performing numerical calculation and/or information processing according to an instruction set or stored in advance, and the hardware includes, but not limited to, a microprocessor, an application specific integrated circuit (ASIC). ), Field-Programmable Gate Array (FPGA), Digital Signal Processor (DSP), embedded devices, etc.

The electronic device 1 can also be, but is not limited to, any electronic product that can interact with a user through a keyboard, a mouse, a remote controller, a touch panel, or a voice control device, such as a personal computer, a tablet, or a smart phone. , Personal Digital Assistant (PDA), game consoles, Internet Protocol Television (IPTV), smart wearable devices, etc.

The electronic device 1 can also be a computing device such as a desktop computer, a notebook, a palmtop computer, and a cloud server.

The network in which the electronic device 1 is located includes, but is not limited to, the Internet, a wide area network, a metropolitan area network, a local area network, a virtual private network (VPN), and the like.

In one embodiment of the invention, the electronic device 1 includes, but is not limited to, a memory 12, a processor 13, and a computer program stored in the memory 12 and operable on the processor 13, such as Disease prevention procedures.

It will be understood by those skilled in the art that the schematic diagram is merely an example of the electronic device 1, does not constitute a limitation on the electronic device 1, may include more or less components than those illustrated, or combine some components, or different. Components such as the electronic device 1 may also include input and output devices, network access devices, buses, and the like.

The processor 13 may be a central processing unit (CPU), or may be other general-purpose processors, a digital signal processor (DSP), an application specific integrated circuit (ASIC), Field-Programmable Gate Array (FPGA) or other programmable logic device, discrete gate or transistor logic device, discrete hardware components, etc. The general purpose processor may be a microprocessor or the processor may be any conventional processor or the like, and the processor 13 is an operation core and a control center of the electronic device 1, and connects the entire electronic device by using various interfaces and lines. Each part of 1 and an operating system of the electronic device 1 and various installed applications, program codes, and the like.

The processor 13 executes an operating system of the electronic device 1 and various types of installed applications. The processor 13 executes the application to implement the steps in the foregoing various methods for preventing and controlling diseases, such as steps S10, S11, S12, S13, S14, and S15 shown in FIG.

Alternatively, the processor 13 implements the functions of each module/unit in each device embodiment when executing the computer program, for example, acquiring an image of a current plant in a target area; and performing image recognition on the image to determine Determining whether the current plant is abnormal; after determining the current plant abnormality, acquiring a pre-configured disease data set of the current plant; determining, from the current plant disease data set, the current plant current a disease type and a disease level corresponding to the current disease type; acquiring a pre-configured control strategy set of the current plant; determining, according to the disease level corresponding to the current disease type, from the current plant control strategy The current disease prevention and treatment strategy.

Illustratively, the computer program can be partitioned into one or more modules/units, which are stored in the memory 12 and executed by the processor 13 to complete the present invention. The one or more modules/units may be a series of computer program instruction segments capable of performing a particular function, the instruction segments being used to describe the execution of the computer program in the electronic device 1. For example, the computer program may be divided into an acquisition unit 110, a determination unit 111, a generation unit 112, a reception unit 113, a delivery unit 114, and a prohibition unit 115.

The memory 12 can be used to store the computer program and/or module by running or executing a computer program and/or module stored in the memory 12, and recalling data stored in the memory 12, Various functions of the electronic device 1 are implemented. The memory 12 may mainly include a storage program area and a storage data area, wherein the storage program area may store an operating system, an application required for at least one function (such as a sound playing function, an image playing function, etc.), and the like; the storage data area may be Stores data created based on the use of the phone (such as audio data, phone book, etc.). In addition, the memory 12 may include a high-speed random access memory, and may also include a non-volatile memory such as a hard disk, a memory, a plug-in hard disk, a smart memory card (SMC), and a secure digital (SD). Card, flash card, at least one disk storage device, flash device, or other volatile solid state storage device.

The memory 12 may be an external memory and/or an internal memory of the electronic device 1. Further, the memory 12 may be a circuit having a storage function in a physical form, such as a RAM (Random-Access Memory), a FIFO (First In First Out), or the like. Alternatively, the memory 12 may also be a memory having a physical form such as a memory stick, a TF card, or the like.

The modules/units integrated by the electronic device 1 can be stored in a computer readable storage medium if implemented in the form of a software functional unit and sold or used as a standalone product. Based on such understanding, the present invention implements all or part of the processes in the foregoing embodiments, and may also be completed by a computer program to instruct related hardware. The computer program may be stored in a computer readable storage medium. The steps of the various method embodiments described above may be implemented when the program is executed by the processor.

Wherein, the computer program comprises computer program code, which may be in the form of source code, object code form, executable file or some intermediate form. The computer readable medium may include any entity or device capable of carrying the computer program code, a recording medium, a USB flash drive, a removable hard disk, a magnetic disk, an optical disk, a computer memory, a read-only memory (ROM). , random access memory (RAM, Random Access Memory), electrical carrier signals, telecommunications signals, and software distribution media. It should be noted that the content contained in the computer readable medium may be appropriately increased or decreased according to the requirements of legislation and patent practice in a jurisdiction, for example, in some jurisdictions, according to legislation and patent practice, computer readable media Does not include electrical carrier signals and telecommunication signals.

Referring to FIG. 1, the memory 12 in the electronic device 1 stores a plurality of instructions to implement a disease prevention method, and the processor 13 can execute the plurality of instructions to: acquire a current plant of a target area. An image; determining, by the image recognition of the image, whether the current plant is abnormal; after determining the current plant abnormality, acquiring a pre-configured disease data set of the current plant; from the current plant a disease data set, determining a current disease type of the current plant and a disease level corresponding to the current disease type; acquiring a pre-configured control set of the current plant; and selecting a disease level corresponding to the current disease type And determining, according to the current prevention and control strategy of the plant, the prevention and control strategy of the current disease.

According to a preferred embodiment of the present invention, the processor 13 further executes a plurality of instructions including:

Comparing the image with a standard image in the disease data of the current growth period to obtain a number of difference pixels, and determining a difference pixel range of the number of the difference pixels in the disease data of the current growth period, Determining the type of the disease corresponding to the difference pixel range is determined as the disease type of the current plant, and determining the difference pixel number of the difference pixel in the difference pixel range of the disease type of the current plant, the The disease level corresponding to the difference pixel segment is determined as the disease level corresponding to the current disease type;

Receiving a drug withdrawal request form;

For details, refer to the description of the related steps in the corresponding embodiment of FIG. 1 for the specific implementation of the foregoing instructions, and details are not described herein.

In the several embodiments provided by the present invention, it should be understood that the disclosed system, apparatus, and method may be implemented in other manners. For example, the device embodiments described above are merely illustrative. For example, the division of the modules is only a logical function division, and the actual implementation may have another division manner.

The modules described as separate components may or may not be physically separated, and the components displayed as modules may or may not be physical units, that is, may be located in one place, or may be distributed to multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of the embodiment.

In addition, each functional module in each embodiment of the present invention may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The above integrated unit can be implemented in the form of hardware or in the form of hardware plus software function modules.

It is apparent to those skilled in the art that the present invention is not limited to the details of the above-described exemplary embodiments, and the present invention can be embodied in other specific forms without departing from the spirit or essential characteristics of the invention.

Therefore, the present embodiments are to be considered as illustrative and not restrictive, and the scope of the invention is defined by the appended claims instead All changes in the meaning and scope of equivalent elements are included in the present invention. Any accompanying drawings in the claims should not be construed as limiting the claim.

In addition, it is to be understood that the word "comprising" does not exclude other elements or steps. A plurality of units or devices recited in the system claims can also be implemented by a unit or device by software or hardware. The second word is used to denote the name and does not denote any particular order.

It should be noted that the above embodiments are only for explaining the technical solutions of the present invention and are not intended to be limiting, and the present invention will be described in detail with reference to the preferred embodiments. Modifications or equivalents are made without departing from the spirit and scope of the invention.

Claims

A disease prevention method, characterized in that the method comprises:

Obtain an image of the current plant in the target area;

Determining whether the current plant is abnormal by performing image recognition on the image;

Obtaining a pre-configured disease data set of the current plant after determining the current plant abnormality;

Determining, from the disease data set of the current plant, a current disease type of the current plant and a disease level corresponding to the current disease type; and acquiring a pre-configured control set of the current plant;

According to the disease level corresponding to the current disease type, the prevention and control strategy of the current disease is determined from the current control strategy of the current plant.
The disease prevention and treatment method according to claim 1, wherein the determining the current disease type of the current plant and the disease level corresponding to the current disease type from the disease data set of the current plant includes:

Obtaining a current time, matching the current time with a pre-configured growth period period, determining a current growth period corresponding to the current plant, and obtaining disease data of the current growth period from the disease data set of the current plant, and the image is Matching disease data for the current growth cycle and determining the current disease type of the current plant; or

Obtaining the current time, matching the current time with the pre-configured disease peak time period, and obtaining the matched disease peak from the current plant disease data set when determining that the current time is within a matching disease peak time period Disease data within the time period, matching the image to disease data within the matched disease peak time period, and determining the current disease type of the current plant.
The disease control method according to claim 2, wherein:

The matching the image with the disease data of the current growth cycle to determine the current disease type of the current plant includes:

Comparing the image with a standard image in the disease data of the current growth period to obtain a number of difference pixels, and determining a difference pixel range of the number of the difference pixels in the disease data of the current growth period, Determining the type of the disease corresponding to the difference pixel range is determined as the disease type of the current plant, and determining the difference pixel number of the difference pixel in the difference pixel range of the disease type of the current plant, the The disease level corresponding to the difference pixel segment is determined as the disease level corresponding to the current disease type; or

The matching the image with the disease data in the matched disease peak time period to determine the current disease type of the current plant includes:

Comparing the image with a standard image in the disease data in the matched disease peak time period to obtain the number of difference pixels, and determining the disease data of the number of the difference pixels in the matched disease peak time period. Determining the difference pixel range, determining the disease type corresponding to the determined difference pixel range as the disease type of the current plant, and determining the difference of the number of the difference pixels in the matching disease peak time period A differential pixel segment to which the pixel segment belongs, and a disease level corresponding to the difference pixel segment is determined as a disease level corresponding to the current disease type.
The disease prevention and treatment method according to claim 3, wherein the prevention and treatment strategies for determining the current disease type from the current plant control strategy concentration according to the disease level corresponding to the current disease type include:

Obtaining a prevention and treatment strategy matching the disease level corresponding to the current disease type according to the disease level corresponding to the current disease type, and obtaining the prevention and treatment strategy as the current disease type Prevention strategy.
The method for controlling a disease according to claim 1, wherein the method further comprises:

Determining a predicted amount of the drug for the current disease when there is a chemical control method in determining a control strategy for the current disease;

Generating a drug delivery receipt and/or a purchase demand order based on the predicted value of the current disease drug use amount.
The method for controlling a disease according to claim 5, wherein the method further comprises:

Receiving a drug withdrawal request form;

When the amount of the request in the drug withdrawal request form is determined to be the same as the predicted value of the drug use amount of the current disease, the delivery instruction is issued.
The method for controlling a disease according to any one of claims 1 to 6, wherein the method further comprises:

Determining a pesticide safety period of the current plant when there is a chemical control method in determining a control strategy for the current disease;

During the pesticide safety period of the current plant, an instruction to prohibit the picking of the current plant is issued.
A disease prevention device, characterized in that the device comprises:

An acquisition unit, configured to acquire an image of a current plant of the target area;

a determining unit, configured to determine whether the current plant is abnormal by performing image recognition on the image;

The acquiring unit is further configured to acquire a pre-configured disease data set of the current plant after determining the current plant abnormality;

The determining unit is further configured to determine, according to the disease data set of the current plant, a current disease type of the current plant and a disease level corresponding to the current disease type;

The acquiring unit is further configured to acquire a pre-configured set of prevention and control strategies of the current plant;

The determining unit is further configured to determine, according to the disease level corresponding to the current disease type, the prevention and control strategy of the current disease from the current prevention and control strategy of the current plant.
An electronic device, comprising:

Processor; and

The memory, the instructions stored in the memory are executed by the processor to implement the disease prevention method according to any one of claims 1 to 7.
A computer readable storage medium, wherein the instructions stored in the computer readable storage medium are executed by a processor in an electronic device to implement the disease prevention method according to any one of claims 1 to 7.