Pest control method and device

Abstract

A pest control method is disclosed by the present disclosure. The method comprises a pest detection step, a pest recognition statistical step, an organism density statistical step, a chemical agent administering decision step, a chemical agent administering step, and a message sending step. In the chemical agent administering decision step, administration of a chemical agent in a target area by a chemical agent administering module is according to a situation that when an aggregated density value reaches a lower density threshold value and a duration of the lower density threshold value corresponding to the lower density threshold value reaches a density duration time threshold value. A pest control device is further disclosed by the present disclosure. A situation can be prevented by the method and device for trapping pest that a chemical agent fails to administer to the pests since a higher density threshold cannot be reached, resulting in a situation where pests are continuously fed.

Description

[Technical Field]

[0001] This invention relates to a prevention and control method and apparatus, and more particularly to a pest control method and apparatus. [Previous Technology]

[0002] Common pest control methods and equipment include trapping, manual trapping, biological control, chemical control, and physical control. Trapping involves using special traps to attract pests and then capture or trap them. However, if traps are placed in narrow passages, pests cannot be removed; if collection points are set up in the original area, automation is low and functionality is insufficient. Manual trapping involves periodically collecting pests by hand. This method is feasible for limited areas but may not be practical for large-scale control. Biological control introduces natural enemies of pests, such as specific species of fish or birds, to control their numbers. However, this method is easily limited by terrain and can damage surrounding objects, such as crops. Chemical control uses specific agents to chemically control pests. However, this method can easily cause environmental pollution and biological hazards. Physical control includes altering the growth environment, such as adjusting water levels or temperature, to reduce the adaptability of pests. However, this method requires careful study and planning for each individual location and cannot be applied universally.

[0003] Taking rice pests as an example, rice is the most widely cultivated crop in Taiwan. During the growth period of the crop, pests and diseases are prone to occur. Among them, golden apple snail is a key pest in the early stage of rice growth. This organism feeds on rice seedlings, causing yield loss and increasing the cost of replanting.

[0004] Currently, there are three methods for controlling snail infestations: chemical control, biological control, and interception control. Early chemical control used "tin benzoate," which caused environmental pollution, killed a large number of aquatic animals, and was harmful to humans. The current official agricultural authorities recommend using "Nickel Snail," but this has not eradicated the snails completely. This agent is still toxic and pollutes paddy fields, affecting aquatic life. Additionally, "tea seed cake" can destroy the mucous membrane tissue of golden apple snails, causing dehydration and death, but it dissolves in water and releases soaps that are toxic to aquatic animals. Biological control involves using grass carp or ducks to feed on golden apple snails in the fields. This method can achieve agricultural ecological balance, but grass carp require higher water levels, which is unsuitable for shallow paddy fields with drying processes. Furthermore, ducks will trample on seedlings and are easily chased by dogs; these two biological control methods are not very practical for paddy fields. Interception control can prevent snails from entering through ditches, but it cannot eliminate existing snails in the fields.

[0005] In recent years, devices or machinery for collecting snails have been continuously developed and applied, which can reduce the labor of farmers in collecting snails, reduce pesticide pollution, and improve the elimination rate of golden apple snails. Although these features exist, various situations that may occur during their operation require automated adjustments. For example, how to administer medication to the device when it is unable to collect a sufficient number of snails, how to accurately control the dosage, and how to adjust the medication if other non-target organisms are captured simultaneously, etc.

[0006] In view of this, the previous chemical control methods, biological control methods, interception control methods and device collection methods each have their own defects, and it is indeed necessary to integrate, adjust and improve them. [Summary of the Invention]

[0007] The purpose of this invention is to provide a pest control method and device to solve technical problems such as insufficient diversity of conditions for initiating pest trapping, single drug dosage, and unconditional drug administration without distinguishing the captured organisms.

[0008] To achieve the above and other objectives, the present invention provides a method for pest control, comprising:

[0009] A pest detection step, using an object detection unit to detect whether an object passes through a first entrance and a second entrance of a space, to obtain a detection result, and when the detection result is yes, to transmit an activation identification signal to an image identification unit.

[0010] A pest identification and statistics step includes a count counting step. The count counting step is performed when the image recognition unit receives the start recognition signal, and the image recognition unit is used to identify the object to identify whether the object is a target pest, thereby obtaining a target pest identification count, and transmitting the target pest identification count to a central processing module.

[0011] A biological organism density statistics step includes a biological organism density calculation step and a biological organism threshold density continuous detection step. The biological organism density calculation step uses a density calculation module to calculate the density of a biological organism in a target area to obtain a cluster density value of the biological organism, and transmits the cluster density value to the central processing module. The biological organism threshold density continuous detection step uses a threshold density duration detection module to detect the duration for which the cluster density value of the biological organism in the target area reaches a lower density threshold value, and transmits the duration for which the lower density threshold value is reached to the central processing module.

[0012] A pesticide application decision step includes using a central processing module to send a pesticide application signal to a pesticide application module when one of the following occurs: the number of times the target pest is identified reaches a higher threshold value for total number of identifications, the aggregation density value reaches a higher density threshold value, and when the aggregation density value reaches the lower density threshold value, and the duration of the lower density threshold value corresponding to the lower density threshold value reaches a density duration threshold value.

[0013] A drug delivery step involves activating a drug delivery module to deliver the drug to the target area based on a drug delivery signal, and, after the drug delivery is completed, transmitting a drug delivery completion signal to a message sending module; and

[0014] A message sending step: after receiving the signal that the drug has been administered, a message sending module is used to send a message to a user to clear the organism in the target area.

[0015] In one embodiment, the pest recognition statistics step further includes: a low recognition threshold detection step, which uses a low recognition threshold detection module to detect the duration for which the number of times the target pest is recognized reaches a low total recognition threshold, and transmits the duration of the low total recognition threshold to the central processing module.

[0016] In one embodiment, during the pesticide application step, the central processing module further sends the pesticide application signal to the pesticide application module when the aggregation density value reaches the lower density threshold value and the duration of the lower density threshold value corresponding to the lower density threshold value reaches the density duration threshold value, and when the number of times the target pest is identified reaches the lower threshold value of the total number of identifications and the duration of the lower threshold value of the total number of identifications corresponding to the lower threshold value of the total number of identifications reaches a identification duration threshold value, so that the pesticide application module applies the pesticide to the target area.

[0017] In one embodiment, the dosage of the agent is determined by comparing the number of times the target pest is identified with the aggregation density value.

[0018] In one embodiment, the pest control method further includes a feeding step, which involves using a feed delivery module to deliver feed to the target area to attract the target pest, wherein the feed delivery module automatically adjusts the amount of feed delivered during the feeding period based on one or more of a group consisting of the number of times the target pest is recognized, the aggregation density value, and the time of feed delivery.

[0019] In one embodiment, during the period when the drug delivery module delivers the drug, the drug delivery module automatically adjusts the amount of drug delivered based on one or more of a group consisting of the recognition count value, the aggregation density value, and the time of drug delivery.

[0020] In one embodiment, each round of pest trapping in the pest control method begins with the initial detection of an object passing through the entrance / exit in the pest detection step and ends after the pesticide delivery module in the pesticide delivery step has finished delivering the pesticide. The next round of pest trapping only begins when a restart pest trapping module is triggered to send a restart pest trapping signal to the object detection unit.

[0021] In one embodiment, during the message sending step, if the target area is still not cleared after a certain period of time after the message sending module sends a message to notify the user to clear the organism in the target area, the message sending module sends a message again to notify the user to clear the organism in the target area.

[0022] In one embodiment, during the message sending step, if the target area is still not cleared after a certain period of time after the message sending module sends a message to notify the user to clear the organism in the target area, the message sending module sends a restart drug delivery signal to the drug delivery module so that the drug delivery module can deliver the drug to the target area again.

[0023] The present invention also provides a pest control device, comprising: a housing, the housing having an accommodating space, a first inlet and a second inlet connected to the accommodating space, and a retractable base; the first inlet and the second inlet are disposed opposite to each other on the side of the housing; the retractable base is disposed at the bottom of the housing and located in the accommodating space; an object detection unit is disposed on the housing corresponding to the first inlet and the second inlet to detect whether an object passes through the first inlet and / or the second inlet; an image recognition unit is disposed on the housing to identify the object to determine whether the object is a target pest, and to obtain a number of target pest recognitions; and a density calculation module is disposed on the housing. The system includes: an image recognition unit, a density calculation module, a threshold density duration detection module, and a central processing module. The image recognition unit is used to calculate the density of a living organism in a target area to obtain an aggregate density value for that organism; a threshold density duration detection module is installed in the housing to detect the duration for which the aggregate density value of the organism in the target area reaches a lower density threshold value; a drug delivery module is installed in the housing to deliver the drug to the target area; a message sending module is installed in the housing to send a message to a user to handle the organism in the target area after receiving a signal indicating that the drug delivery is complete; and a central processing module is installed in the housing and electrically connected to the image recognition unit, the density calculation module, the threshold density duration detection module, the drug delivery module, and the message sending module.

[0024] The beneficial effects of the present invention are as follows: By determining the pesticide application conditions in the pesticide application decision step, where the aggregation density value reaches the lower density threshold value and the density duration threshold value is reached, the situation where pesticides are not applied for a long time due to the inability to reach the higher density threshold value is avoided, thus preventing the pests from being continuously fed without being killed. Furthermore, by combining the aforementioned conditions with the condition that the number of times the target pest is recognized reaches the lower threshold value of the total number of recognitions and the duration of recognition reaches the recognition duration threshold value, the dosage of pesticides can be precisely controlled. In addition, by comparing the number of times the target pest is recognized and the aggregation density value to confirm the proportion of organisms in the target area that are actually target pests, the type of pesticide to be applied (lethal or non-lethal) can be determined, avoiding indiscriminate killing of organisms. Preferably, the dosage of pesticides is automatically adjusted according to the application time, the number of times the target pest is recognized, and the aggregation density value, making the control of the dosage of pesticides more flexible and precise.

Implementation Method

[0025] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Furthermore, to better illustrate the present invention, numerous specific details are set forth in the following detailed description. Those skilled in the art should understand that the present invention can be implemented without certain specific details.

[0026] To make the above and other objectives, effects, and features more apparent and understandable, some preferred embodiments are described below, and detailed descriptions are provided with reference to the accompanying drawings. Without departing from the spirit of the invention, the present invention has various embodiments and is not limited to the specific details described in the embodiments below. Furthermore, the drawings are not necessarily drawn to scale and are provided only to illustrate the embodiments.

[0027] Referring to FIG1, a pest control method according to an embodiment of the present invention includes: a pest detection step S10, a pest identification and statistics step S20, a life density statistics step S30, a pesticide application decision step S40, a pesticide application step S50, and a message sending step S60.

[0028] The pest detection step S10 uses an object detection unit to detect whether an object (organism) passes through a first entrance and a second entrance of a space to obtain a detection result. When the detection result is positive, an activation identification signal is transmitted to an image recognition unit. The object detection unit can be a component that uses infrared light to sense the presence of an object. In this embodiment, the object detection unit is electrically connected to a central processing module to transmit each detection result to the central processing module. When the detection result is positive, the central processing module transmits the activation identification signal to the image recognition unit. Alternatively, the object detection unit is directly electrically connected to the image recognition unit, and the object detection unit directly transmits the activation identification signal to the image recognition unit when the detection result is positive.

[0029] The pest identification and statistics step S20 includes a count counting step S21. When the image recognition unit receives the start recognition signal, the image recognition unit uses the image recognition unit to identify the object to identify whether the object is a target pest (e.g., golden apple snail), and obtains a target pest identification count, and transmits the target pest identification count to the central processing module. For example, within a specific time period (e.g., 1 hour), the object detection unit will successively sense many objects passing through the first entrance or the second entrance, causing the activation identification signal corresponding to the object to be transmitted to the image recognition unit (through the central processing unit). The image recognition unit then identifies one by one whether the object is a target pest, such as a golden apple snail. If it is, the number of times the target pest is identified (the number of times the target pest is identified) is counted once. If not (e.g., the object passing through is an earthworm), it is not counted. It can be set to transmit this count result to the central processing module every time the target pest is identified and counted once. Alternatively, it can be set to transmit the total count result to the central processing module in units of 10 minutes, 20 minutes, 30 minutes, or 1 hour.

[0030] The organism density statistics step S30 includes an organism density calculation step S31 and an organism threshold density continuous detection step S32. The organism density calculation step S31 uses a density calculation module to calculate the density of organisms in a target area to obtain an aggregation density value of the organism, and transmits the aggregation density value to the central processing module. In detail, in addition to the target pest, other organisms, such as earthworms, may enter the space through the first entrance or the second entrance. The target area is a specific area within the space, which may be an area used to subsequently administer agents to kill (if only the target pest is present) or stun (if both the target pest and other organisms are present). Therefore, the calculated organism density result for the target area may represent multiple possible results, including density results for only the target pest, non-target pests, or a combination of target pests and non-target pests (i.e., aggregation density value). Since the number of times the target pest is identified represents the number of times it was actually identified, the actual number of target pests in the target area can be estimated by comparing the number of times the target pest is identified with the aggregation density value. For example, a pre-defined correspondence between the number of times the target pest is identified and the aggregation density value can be set: when the number of times the target pest is identified is 10, the aggregation density value should be 1. If, in a specific period, the number of times the target pest is identified is 8, but the aggregation density value is 1, it means that during this specific period, the organisms in the target area include not only the target pest but also other organisms; or, if the number of times the target pest is identified is 10, but the aggregation density value is 0.8, it means that the number of target pests in the target area is less than the number of target pests identified at the first or second entrance. This comparison method can further refine the number of target pests in the target area, allowing for more precise control over the amount of pesticides or feed to be applied to the target area (detailed later). The organism threshold density continuous detection step S32 uses a threshold density duration detection module to detect the duration for which the aggregation density value of the organism in the target area reaches a lower density threshold value, and transmits the duration for which the lower density threshold value is reached to the central processing module. In this embodiment, the condition for deciding whether to administer a drug includes whether the aggregation density value of the organism in the target area reaches a threshold value, and the threshold value includes a higher density threshold value and a lower density threshold value. The higher density threshold value is higher than the lower density threshold value; in other words, the higher density threshold value represents a higher aggregation density value compared to the lower density threshold value. As long as the aggregation density value of the organism reaches the higher density threshold value, a drug administration module is activated to administer the drug to the target area (described in detail later).The lower density threshold is for another situation where the pesticide application module needs to be activated. Specifically, if the organism's aggregation density consistently fails to reach the higher density threshold but has remained at a certain value for a period of time (i.e., below the lower density threshold), the pesticide application module will be activated to apply the pesticide to the target area. This prevents the target pests from leaving the area due to prolonged lack of pesticide application, thus ensuring timely eradication. Alternatively, if the method incorporates feeding methods (described in detail later), prolonged lack of pesticide application could result in the pests continuously feeding on the pesticide without being killed. It is easy to understand that both the lower and higher density thresholds can be set by the user according to actual conditions, such as the target pest's habits or feeding methods.

[0031] The agent delivery decision step S40 includes using the central processing module to send an agent delivery signal to the agent delivery module when one of the following conditions occurs, so that the agent delivery module delivers an agent to the target area: the number of times the target pest is recognized reaches a higher threshold value for total recognition, for example, the higher threshold value for total recognition can be set to recognize the target pest 20 times within 30 minutes, and when the target pest is recognized 20 times within a duration of 30 minutes, the agent delivery module delivers the agent to the target area; the aggregation density value reaches a higher density threshold value; and when the aggregation density value reaches the lower density threshold value, and the duration of the lower density threshold value corresponding to the lower density threshold value reaches a density duration threshold value, as mentioned above, the density threshold value can be set to the lower density threshold value, for example, 0.7; and the higher density threshold value, for example, 1. When the aggregation density value reaches 1, the agent delivery module will deliver the agent to the target area; or when the aggregation density value reaches 0.7 (i.e., the lower density threshold value) and is not lower than 0.7 (but not to 1, otherwise the agent delivery module will be activated directly) for a duration of 1 hour (i.e., the density duration threshold value), the agent delivery module will also deliver the agent to the target area.

[0032] Furthermore, in order to further precisely control the timing of pesticide application, so that the pesticide is applied when the majority of the organisms in the target area are actually the target pests, referring to Figure 2, in another embodiment, the pest recognition and statistics step S20 further includes a low recognition threshold detection step S22, which uses a low recognition threshold detection module to detect the duration for which the number of times the target pest is recognized reaches a low total recognition threshold, and transmits the duration of the low total recognition threshold to the central processing module. Specifically, the recognition threshold includes the higher total recognition threshold and the lower total recognition threshold, where the value of the lower total recognition threshold is less than the lower total recognition threshold. In the pesticide application step (S40), the central processing module further sends a pesticide application signal to the pesticide application module when the aggregation density value reaches the lower density threshold value and the duration of the lower density threshold value corresponding to the lower density threshold value reaches the density duration threshold value, and when the number of times the target pest is recognized reaches the lower threshold value of the total number of recognitions and the duration of the lower threshold value of the total number of recognitions corresponding to the lower threshold value of the total number of recognitions reaches a recognition duration threshold value, so that the pesticide application module can apply the pesticide to the target area. For example, when the number of times the target pest is recognized cannot reach the higher threshold value of the total number of recognitions, but has reached the lower threshold value of the total number of recognitions and has lasted for a specific time, such as 4 hours (i.e., the recognition duration threshold value), and at the same time the aggregation density value also reaches the lower density threshold value and has lasted for a specific time (i.e., the density duration threshold value), the consistency of the two results indicates that a considerable number of target pests have indeed existed in the target area for a considerable period of time, and the pesticide can be applied to the target area.

[0033] The pesticide application step (S50) involves activating the pesticide application module to apply the pesticide to the target area based on the pesticide application signal. After the pesticide application is completed, a pesticide application completion signal is transmitted to a message sending module to notify the user to handle the organisms in the target area that have been treated with the pesticide. Specifically, the pesticide may include two types: lethal and sedative. Lethal pesticides are suitable when the organisms in the target area are determined to be mostly or entirely target pests, while sedative pesticides are suitable when the target area may contain a considerable number of non-target pests. For example, as mentioned above, when the corresponding value of the number of target pest recognitions and the aggregation density value is set such that when the number of target pest recognitions is 10, the aggregation density value should be 1. If the target pest is identified 10 times and the aggregation density is 1, it indicates that the organisms in the target area are highly likely to be the target pest, and a lethal agent can be used directly for extermination. If the target pest is identified 8 times and the aggregation density is 1.2, it indicates that there are other organisms in the target area besides the target pest. Since it is uncertain whether the other organisms are pests or beneficial insects, a sedative agent is used first to put the organisms into a sedative state until the user is notified to confirm and handle the situation. In the agent application step (S50), the agent application module can apply the agent at regular intervals and in fixed quantities. Alternatively, the agent application module can automatically adjust the amount of agent applied based on one or more of the groups consisting of the identification count, the aggregation density, and the application time. For example, the longer the application time, the fewer target pests should survive, so the amount of agent applied can decrease over time. Alternatively, as mentioned above, there may be discrepancies between the number of times the target pest is identified and the aggregation density value within a specific period. Therefore, the actual number of target pests in the target area can be determined based on the correspondence between the number of times the target pest is identified and the aggregation density value, and the dosage of the pesticide can be adjusted accordingly to make the pesticide application more accurate. It is worth mentioning that when the pesticide application module is activated based on the pesticide application signal that the aggregation density value has reached the lower density threshold and the duration has reached the density duration threshold, since the current aggregation density value is low (not reaching the higher density threshold), the pesticide application dosage can be lower than that based on the pesticide application signal that is based on the higher density threshold.

[0034] After receiving the signal that the pesticide application is complete, the message sending step (S60) uses a message sending module to send a message to notify a user to clear the organism in the target area. Specifically, each round of pest trapping in the pest control method of the present invention begins with the initial detection of an object passing through the first or second entrance / exit in the pest detection step (S10) and ends after the pesticide application module in the pesticide application step (S50) has completed pesticide application. The next round of pest trapping only begins when a restart pest trapping module is triggered, causing a restart pest trapping signal to be transmitted to the detection module. In this embodiment, the restart pest trapping module is electrically connected to the central processing module. The restart pest trapping module transmits the restart pest trapping signal to the central processing module, which then transmits the restart pest trapping signal to the detection module to initiate a new round of pest trapping. Optionally, the restart pest trapping module can be directly electrically connected to the detection module, transmitting the restart signal directly to the detection module to initiate a new round of pest trapping. Preferably, the restart pest trapping module is triggered manually, remotely, or via mobile phone by the user after clearing the target area of ​​organisms. This ensures that the target area is free of organisms before proceeding with the next round of pest trapping, avoiding discrepancies between the number of pests detected and the aggregation density.

[0035] Furthermore, if the organism in the target area is still not cleared after a specific period of time (e.g., 3 hours) following the message sent by the message sending module notifying the user to clear the organism in the target area, the message sending module can send another message to notify the user to clear the organism in the target area. Also, if the administered drug is a sedative type, the message sending module sends a restart drug administration signal to the drug administration module, so that the drug administration module can administer the drug to the target area again, thereby prolonging the sedative effect on the organism in the target area. In this embodiment, the message sending module is electrically connected to the central processing module. The message sending module sends the restart drug administration signal to the central processing module, and the central processing module then sends the restart drug administration signal to the drug administration module. Optionally, the message sending module can be directly electrically connected to the drug delivery module to directly transmit the restart drug delivery signal to the drug delivery module, so that the drug delivery module can deliver the drug to the target area again.

[0036] Preferably, in order to induce the target pest into the space, the present invention may further include a feeding induction step (S01), which involves using a feed dispensing module to dispense feed favored by the target pest into the target area to attract the target pest. Furthermore, the feed dispensing module can automatically adjust the amount of feed dispensed during the feeding period based on one or more of a group consisting of the number of times the target pest is recognized, the aggregation density value, and the feeding time. For example, a higher number of times the target pest is recognized, a higher aggregation density value, and a longer feeding time significantly increases the probability that the threshold value for activating the pesticide dispensing module has been reached in this round of pest trapping, thus reducing the demand of the target pest in this round. Therefore, the feed dispensing module can automatically reduce the amount of feed dispensed as the number of times the target pest is recognized increases, the aggregation density value increases, or the feeding time increases.

[0037] Referring to Figures 3 to 6, a pest control device 100 according to another embodiment of the present invention is used to perform the pest control method described above to trap a target pest. The pest control device 100 includes: a housing 10, which has a receiving space 11, a first inlet 12 and a second inlet 12', and a retractable base D. The first inlet 12 and the second inlet 12' are disposed opposite each other on the side of the housing 10 and communicate with the receiving space 11. The retractable base D is disposed at the bottom of the housing 10 and located in the receiving space 11, corresponding to the position where the pesticide dispensing module 50 dispenses pesticide. The retractable base D can be pulled outward via, for example, a guide rail. The target pest or other organisms that have been treated with the pesticide will be directly stunned or die in the retractable base D, making it convenient for the user to handle such organisms in the form of the entire retractable base D.

[0038] The pest control device 100 also includes: an object detection unit 20, an image recognition unit 31, a density calculation module 41, a threshold density duration detection module 42, an agent delivery module 50, a message sending module 70, and a central processing module C.

[0039] The object detection unit 20 is disposed on the housing 10 corresponding to the first entrance / exit 12 and the second entrance / exit 12' to detect whether an object passes through the first entrance / exit 12 or the second entrance / exit 12', thereby obtaining a detection result. When the detection result is positive, a start identification signal is transmitted to the image recognition unit 31. In this embodiment, the object detection unit 20 is electrically connected to the central processing module C to transmit each detection result to the central processing module C, and when the detection result is positive, the central processing module C transmits the start identification signal to the image recognition unit 31. Alternatively, in other embodiments, the object detection unit 20 may be directly electrically connected to the image recognition unit 31, and the object detection unit 20 may directly transmit the start identification signal to the image recognition unit 31. Optionally, the object detection unit 20 may use an infrared sensor to detect whether there are objects entering or exiting the first entrance / exit 12 and the second entrance / exit 12.

[0040] The image recognition unit 31 is disposed on the housing 10 and electrically connected to the central processing module C. It is used to identify whether the object is a target pest, obtain a number of target pest recognitions, and transmit the number of target pest recognitions to the central processing module C. Optionally, the image recognition unit 31 may be disposed on the upper part of the housing 10 to comprehensively identify each area of ​​the accommodating space 11. For example, the image recognition unit 31 may include a camera 311 for capturing images of the object.

[0041] The density calculation module 41 is disposed in the housing 10 and electrically connected to the central processing module C. It is used to calculate the density of a living organism P in a target area to obtain an aggregate density value of the living organism P, and transmit the aggregate density value to the central processing module C. Specifically, the target area is the entire range of the retractable chassis D. The threshold density duration detection module 42 is disposed in the housing 10 and electrically connected to the central processing module C. It is used to detect the duration for which the aggregate density value of the living organism P in the target area reaches a lower density threshold value, and transmit the duration for which the lower density threshold value is reached to the central processing module C.

[0042] The drug delivery module 50 is disposed on the housing 10 and electrically connected to the central processing module C, and is used to determine whether to deliver a drug to the target area based on a drug delivery signal. The drug delivery module 50 may include a first motor unit 51, a storage unit 52 and a delivery unit 53. The first motor unit 51 delivers the drug 521 stored in the storage unit 52 to the delivery unit 53, and the delivery unit 53 then delivers the drug 521 into the accommodating space 11 to affect the survival status of the organism.

[0043] The message sending module 70 is disposed in the housing 10 and electrically connected to the central processing module C. After receiving the signal that the drug has been administered, it sends a message to notify a user to handle (including: clear) the organism P in the target area.

[0044] The central processing module C is disposed in the housing 10 to receive, transmit and calculate signals between the modules.

[0045] Preferably, the pest control device 100 of the present invention may further include a solar panel S and a power source B electrically connected to each other, which are disposed in the housing 10. The solar panel S can convert sunlight into electrical energy to supply the power source B, and the power source B provides power to the entire pest control device 100. Optionally, the battery B can be a portable power source.

[0046] Optionally, the pest control device 100 of the present invention may further include a detection module 32 for a lower threshold value of recognition count, which is disposed in the housing 10 and electrically connected to the central processing module C, for detecting the duration for which the number of recognition counts of the target pest reaches a lower threshold value of total recognition count, and transmitting the duration of the lower threshold value of total recognition count to the central processing module C.

[0047] Preferably, the pest control device 100 of the present invention may further include a feed module 60 disposed in the housing 10 for dispensing feed 621 into the receiving space 11. The feed module 60 includes a second motor unit 61, a storage unit 62 and a feeding unit 63. The second motor unit 61 feeds the feed 621 stored in the storage unit 62 into the feeding unit 63, and the feeding unit 63 then feeds the feed 621 into the receiving space 11 to attract the target pest.

[0048] Preferably, the pest control device 100 of the present invention may further include a restart pest trapping module 80, electrically connected to the central processing module C, so as to transmit a restart pest trapping signal to the object detection unit 20 through the central processing module C to start a new round of pest trapping. Optionally, the restart pest trapping module 80 may be directly electrically connected to the detection module 20 to directly transmit the restart pest trapping signal to the object detection unit 20.

[0049] Preferably, the pest control device 100 of the present invention may further include a timing module T, which is electrically connected to the central processing module C, the agent dispensing module 50, and the feed dispensing module 60, for detecting the dispensing time of the agent and the feed, and the timing module T transmits the detection results of the dispensing time of the agent and the dispensing time of the feed to the central processing module C.

[0050] In summary, by determining the pesticide application conditions in the pesticide application decision-making step, such as the aggregation density value reaching the lower density threshold and the density duration threshold, the situation where pesticides are not applied for a long time due to the inability to reach the higher density threshold is avoided, thus preventing the pests from being continuously fed without being killed. Furthermore, by combining the aforementioned conditions with the condition that the number of times the target pest is recognized reaches the lower threshold of the total number of recognitions, and the duration of recognition reaches the recognition duration threshold, the dosage of pesticides can be precisely controlled. In addition, by comparing the number of times the target pest is recognized and the aggregation density value, the proportion of organisms in the target area that are actually target pests can be confirmed to determine whether the pesticide to be applied is lethal or non-lethal, thus avoiding indiscriminate killing of organisms. Preferably, the dosage of pesticides is automatically adjusted based on the application time, the number of times the target pest is recognized, and the aggregation density value, making the control of the pesticide dosage more flexible and precise.

[0051] The present invention has been disclosed using the above-described preferred embodiments, but is not intended to limit the invention. Those skilled in the art will clearly understand that the invention is not limited to the details of the illustrative embodiments described above. The embodiments are merely illustrative and not restrictive of the invention, which is based on the claims, not the above description. The wording and equivalents of the claims are within the scope of the patent rights of this invention. [Simplified Explanation of the Diagram]

[0052] Figure 1 is a flowchart of a pest control method according to one embodiment of the present invention. Figure 2 is a flowchart of a pest control method according to another embodiment of the present invention. Figure 3 is a block diagram of a pest control device according to an embodiment of the present invention. Figure 4 is a perspective view of a pest control device according to an embodiment of the present invention. Figure 5 is a schematic diagram of the pesticide dispensing module of a pest control device according to an embodiment of the present invention. Figure 6 is a schematic diagram of the feed dispensing module of a pest control device according to an embodiment of the present invention.

Claims

1. A pest control method, comprising: a pest detection step (S10), using an object detection unit to detect whether an object passes through a first entrance and a second entrance of a space, to obtain a detection result, and when the detection result is positive, transmitting an activation identification signal to an image recognition unit; a pest recognition and statistics step (S20), including a count statistics step (S21), wherein when the image recognition unit receives the activation identification signal, the image recognition unit uses the image recognition unit to identify the object to identify whether the object is a target pest, thereby obtaining a target pest recognition count, and transmitting the target pest recognition count to a central processing module; The organism density statistics step (S30) includes an organism density calculation step (S31) and an organism threshold density continuous detection step (S32). The organism density calculation step (S31) uses a density calculation module to calculate the overall density of various organisms in a target area to obtain a corresponding cluster density value, and transmits the cluster density value to the central processing module. The organism threshold density continuous detection step (S32) uses a threshold density duration detection module to detect the duration for which the cluster density value in the target area reaches a lower density threshold value, and transmits the duration for which the lower density threshold value is reached to the central processing module. A pesticide application decision step (S40) includes using the central processing module to send a pesticide application signal to a pesticide application module when one of the following conditions occurs, so that the pesticide application module applies a pesticide to the target area: when the number of times the target pest is recognized reaches a higher threshold value of total recognition, when the aggregation density value reaches a higher density threshold value, and when the aggregation density value reaches the lower density threshold value and continues to reach a density duration threshold value; a pesticide application step (S50) is to activate the pesticide application module to apply the pesticide to the target area according to the pesticide application signal, and after the pesticide application is completed, to send a pesticide application completion signal to a message sending module; and a message sending step (S60) is to use a message sending module to send a message to a user to clear the organisms in the target area after receiving the pesticide application completion signal.

2. The pest control method as described in claim 1, wherein, The pest identification statistics step (S20) further includes: a low recognition threshold detection step (S22), which uses a low recognition threshold detection module to detect the duration for which the number of times the target pest is identified reaches a low total recognition threshold, and transmits the duration of the low total recognition threshold to the central processing module.

3. The pest control method as described in claim 2, wherein, In the pesticide application step (S40), the central processing module also sends the pesticide application signal to the pesticide application module when the aggregation density value reaches the lower density threshold value and the duration of the lower density threshold value corresponding to the lower density threshold value reaches the density duration threshold value, and when the number of times the target pest is identified reaches the lower threshold value of the total number of identifications and the duration of the lower threshold value of the total number of identifications corresponding to the lower threshold value of the total number of identifications reaches a identification duration threshold value, so that the pesticide application module applies the pesticide to the target area.

4. The pest control method as described in claim 1, wherein, The dosage of the pesticide is determined by comparing the number of times the target pest is identified with the aggregation density value.

5. The pest control method as described in claim 1, further comprising a feeding induction step (S01), which involves using a feed delivery module to deliver feed into the target area to attract the target pest, wherein, The feed dispensing module automatically adjusts the amount of feed dispensed during the feeding period based on one or more of a group consisting of the number of times the target pest is identified, the aggregation density value, and the time of feed dispensing.

6. The pest control method as described in claim 1, wherein, During the drug delivery process, the drug delivery module automatically adjusts the dosage of the drug based on one or more of a group consisting of the recognition frequency value, the aggregation density value, and the drug delivery time.

7. The pest control method as described in claim 1, wherein, Each round of pest trapping in this pest control method begins with the initial detection of an object passing through the entrance / exit in the pest detection step (S10) and ends after the pesticide delivery module in the pesticide delivery step (S50) has finished delivering the pesticide. The next round of pest trapping only begins when a restart pest trapping module is triggered, causing a restart pest trapping signal to be transmitted to the object detection unit.

8. The pest control method as described in claim 1, wherein, In the message sending step (S60), if the target area has not been cleared after a certain period of time after the message sending module sends a message to notify the user to clear the organisms in the target area, the message sending module sends a message again to notify the user to clear the organisms in the target area.

9. The pest control method as described in claim 1, wherein, In the message sending step (S60), if the target area is still not cleared after a certain period of time after the message sending module sends a message to notify the user to clear the organisms in the target area, the message sending module sends a restart drug delivery signal to the drug delivery module so that the drug delivery module can deliver the drug to the target area again.

10. A pest control device, comprising: a housing (10) having a receiving space (11), a first inlet (12) and a second inlet (12') connected to the receiving space (11), and a retractable base (D), the first inlet (12) and the second inlet (12') being disposed opposite each other on the side of the housing 10, and the retractable base (D) being disposed at the bottom of the housing 10 and located in the receiving space (11); and an object detection unit (20) disposed on the housing (10) corresponding to the first inlet (12) and the second inlet (12') to detect whether an object passes through the first inlet (12) and / or the second inlet (12'); An image recognition unit (31), disposed in the housing (10), is used to recognize the object to determine whether the object is a target pest and to obtain the number of times a target pest is recognized; a density calculation module (41), disposed in the housing (10), is used to calculate the overall density of various organisms in a target area to obtain a corresponding aggregation density value; a threshold density duration detection module (42), disposed in the housing (10), is used to detect the duration for which the aggregation density value of the target area reaches a lower density threshold value; and an agent delivery module (50), disposed in the housing (10), is used to deliver the agent to the target area. A message sending module (70) is disposed in the housing (10) and, upon receiving a signal indicating that the drug has been administered, sends a message to a user to handle the organism in the target area; and a central processing module (C) is disposed in the housing (10) and is electrically connected to the image recognition unit (31), the density calculation module (41), the threshold density duration detection module (42), the drug administration module (50), and the message sending module (70).

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