JP2001061394A - System for foreseeing pest generation - Google Patents

Abstract

PROBLEM TO BE SOLVED: To provide a system for foreseeing pest generation, capable of simplifying the manual operation, and having heightened accuracy of foreseeing of the generation of the pest, and determination of proper time for control. SOLUTION: This system has a counting means (counting part 2) for counting the number of pests generated in a field, a treating means (treating part 8) for treating the counted value and a displaying means (display part 8) for displaying the treated result. The system also can foresee the generated state and the proper time for control from the change of the generation of the pests by time, and display the foreseeing value. As a result, the manual operation is simplified, and the accuracy of the foreseeing of the generation of the pests and the proper time for the control is heightened. Further, the displayed foreseeing of the generation of the pests and the proper time for the control can readily be confirmed.

Description

DETAILED DESCRIPTION OF THE INVENTION

[0001]

BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention relates to a pest occurrence forecasting system used for predicting the occurrence of pests such as chanomaki makimaki, chahamaki and chanohosoga which occur in fields such as tea gardens.

[0002]

2. Description of the Related Art In a field such as a tea plantation, a moth lamp, an adhesive plate trap, a pheromone trap, and the like are provided in a field to determine the occurrence of insect pests such as Anopheles japonicus, Chahamaki and Chanohosoga, and the captured pests are counted. In addition, the number of occurrences of pests is confirmed based on the counting results, and an appropriate control period is determined.

[0003]

By the way, in order to predict the outbreak situation from the outbreak of pests and to estimate the control time,
It is necessary to capture and count the pests, determine the number of captives per day, and check the peak value of the captives. Conventionally, the number of captured animals and their peak values have been manually grasped, and a primitive method of creating a graph has been used as a data processing method. For control, a method has been adopted in which various constraints such as weather conditions are empirically added to the prepared charts to determine the timing. Therefore, human error greatly affects the generation prediction by creating a graph and handling data, and improvement has been desired. The problems are listed below.

A. Human processes such as graphing the number of captured pests and detecting the peak value are troublesome. b. Determination of the appropriate period of drug application is empirically determined, and there is a large time difference. c. Even if weather conditions such as temperature and humidity are added to the empirical determination of the time of spraying the medicine, the accuracy of the appropriate time of spraying the medicine is low due to intuition. d. In addition to determining the appropriate time for spraying the drug, determining the spraying range of the drug is troublesome, and the spraying of the drug may be wasted.

[0005] Therefore, an object of the present invention is to provide a pest occurrence forecasting system that simplifies human processing and enhances the prediction of pest occurrence and the accuracy of a suitable period for controlling pests.

[0006]

A pest occurrence forecasting system according to the present invention comprises a counting means (counting section 2) for counting pests occurring in a field, a processing means (processing section 6) for processing a count value, and a processing result. Equipped with display means (display unit 8) for displaying, predicting the outbreak situation and the appropriate period of pest control from the time course of the occurrence of pests,
Display the predicted value. Therefore, the human processing can be simplified, the accuracy of the prediction of the pest occurrence and the appropriate period of control can be enhanced, and the displayed prediction of the occurrence of the pest and the appropriate period of control can be easily confirmed.

According to a first aspect of the present invention, there is provided a pest occurrence forecasting system according to the present invention, wherein a counting means (counting unit 2) for counting the number of pests caught in a field, and a time-dependent transition of the count value obtained by the counting means A processing unit (processing unit 6) for calculating the occurrence and control of the pests and the time of pest control, and a display unit (display unit 8) for displaying the calculation results obtained by this processing unit. .

That is, the counting means for counting the number of pests caught in the field is provided with a counting function for counting the number of pests. Forecast the fate of emergence and measure the basic data necessary to determine the appropriate period of control. A pest counting sensor with an automatic counting function can be used.

The processing means has a processing function of obtaining the count value of the pest as basic data from the counting means and processing the count result. That is, a predicted value of the occurrence of pests and a suitable period for controlling pests is calculated from the transition of the count value over time.

[0010] The display means displays the predicted value obtained by the processing means. That is, the display means displays the processing result of the processing means using various devices such as an image by a display means such as a CRT, printing by a printer, or sound by a sound generating means. In addition, the display form of the predicted value or the like is such that, when there is a plurality of counting means for each pest, and collectively or divided for each counting means.

Therefore, according to this pest occurrence forecasting system, the counting information of the number of captured heads, which is basic data for predicting the occurrence and fate by the counting function, is input to the processing means, and the occurrence and fate are forecasted by the calculation process, and the proper period of control is determined. By confirming and displaying it, simplification of human work, improvement of prediction accuracy, and easiness of confirmation are realized.

In the pest occurrence forecasting system according to the present invention, the counting means and the processing means are linked through an interface means (interface unit 4),
The counting value obtained by the counting means is input to the processing means through a transmission means such as a wired or wireless communication means or a data input means. That is, an interface function for receiving the counting result is provided. For example, the interface function connects a pest counting sensor with a wireless device and receives the counting result. A result measured by a conventional adhesive plate trap may be input by a keyboard, an OCR, or a voice input unit.

Further, in the pest occurrence forecasting system according to the third aspect of the present invention, the processing means performs a process of calculating a peak value of the count value from a temporal change of the count value. That is, the processing means has a function of searching for a peak value of the counting result of the counting means as a processing function of processing the counting result. The peak value of the pest count value is a temporal maximum value of the number of captured animals over a certain period (for example, every day) due to a temporal change in the count value. In this case, the weather behavior of the pest may be taken into consideration, and for example, the pest may not be activated when there is more than a certain amount of rainfall.

According to a fourth aspect of the present invention, the processing means calculates the peak value of the counted value from the chronological transition of the counted value, and performs a process for determining an appropriate control period from the peak value. It is characterized by the following. That is, the processing means searches for a peak value of the counting result of the counting means as a processing function for processing the counting result. The peak value of the pest count value is a temporal maximum value of the number of captured animals over a certain period (for example, every day) due to a temporal change in the count value. Then, an appropriate control period is determined based on the searched peak value. In this case, an appropriate control period which is empirically known for each pest can be determined, and a proper control period can be set to a certain period from the arrival of the peak value, for example, one week to 10 days.

According to a fifth aspect of the present invention, there is provided the pest occurrence forecasting system according to the present invention, wherein the processing means corrects a proper control period predicted from the change over time of the count value by taking into account the actually measured or predicted weather conditions. It is characterized in that it is determined. That is, in the processing means, in the process of determining the appropriate time of pest control,
Taking into account weather conditions, such as temperature and humidity, which are actually measured or expected, the accuracy of determining the appropriate period of control can be increased. In particular,
By taking into account weather conditions such as temperature or humidity measured or expected for each pest, the growth of each pest can be predicted,
Accuracy of the appropriate control period for each pest can be improved.

Further, in the pest occurrence forecasting system according to the present invention according to claim 6, the suitable control period predicted by the processing means from the change over time of the count value is determined in consideration of constraints such as plant growth conditions. It is characterized by doing. That is, when controlling pests such as spraying chemicals, it is not determined only by the amount of the pests and the growth state. Therefore, as the various restrictive conditions for determining the appropriate period of control, for example, the growth state of the damaged plant or the commercial crop In the case of (1), the medicine or the like cannot be sprayed depending on the shipping time. In addition, the same drug may not be used depending on the history of spraying the drug on the plant. Therefore, taking into account these constraints, determine the appropriate period of control, consider the above various conditions that limit the appropriate period of control, and actually restrict the appropriate period of control, or determine the appropriate period of control by adding the constraints. .

Further, the pest occurrence forecasting system according to the present invention according to the present invention uses a display (82) for displaying at least the transition of occurrence, the peak value, and the time of pest control for each pest on the display means. It is characterized by. That is, as a display function for displaying the processing result that the display means should have, the processing result is displayed in a form that is easy for humans to understand. That is, as the display mode, image display by a display such as a CRT, printing on paper by a printer or the like, sound notification by sounding means such as a speaker, or the like can be used. Any one of these display modes
One or a combination of two or more can be selected by the user. When there are a plurality of counting means, the display contents are displayed collectively or separately for each counting means, and when there are a plurality of types of pests for which the occurrence is predicted, they are displayed collectively or separately for each pest. The number of captured animals, which is the basic data to be predicted, is determined, and the processing function is used to predict the occurrence and fate, to determine the appropriate period for control, and to display a predicted value as a result of taking into account various constraints for control.

[0018]

DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS Hereinafter, the present invention will be described in detail with reference to embodiments shown in the drawings.

FIG. 1 shows an embodiment of a pest occurrence forecasting system according to the present invention. This pest occurrence forecasting system includes a counting section 2 serving as a pest counting means, a processing section 6 which is linked to the counting section 2 via an interface means, that is, an interface section 4, and performs a forecasting process from the count value, and displays a processing result. The display unit 8 is provided.

The counting unit 2 captures pests in a specific field,
It has a counting function for counting the number of animals. That is, the counting unit 2
Is composed of, for example, pest detectors 22, 24 and the like. The pest detectors 22 and 24 attract and capture the pests and count the number of the captured pests. These counts are basic data for predicting the fate of the pests and determining the appropriate period of control. By using a known pest counting sensor having an automatic counting function in the counting section 2, human counting work can be omitted. In this embodiment, two pest detectors 22 and 24 are used, but these may be one set or three or more sets.

The interface unit 4 is a means for linking the counting unit 2 and the processing unit 6, and has a function of allowing the processing unit 6 to receive the counting result of the counting unit 2. The interface unit 4 includes wireless devices 42, 44, 4 as data transmission means.
6 etc. can be used. That is, the wireless device 42 is connected to the pest detector 22 and transmits the count value to the wireless device 46 by radio waves 48, and the wireless device 44 is connected to the pest detector 24.
And counts the count by radio waves 48
To the side. The wireless device 46 is connected to the processing unit 6 side,
The count value is detected from the received radio wave 48, and the pest detector 2
It is taken into the processing unit 6 every 2, 24. The interface unit 4 may input the result counted by the conventional adhesive plate trap to the processing unit 6 through a keyboard, OCR, or voice input means.

The processing unit 6 has a processing function of processing the count result, a function of retrieving the peak value of the count result, a function of calculating the peak value from the count value, and determining an appropriate control period.
It is provided with various functions such as a function of adding a constraint condition to the determination of a proper period of control, and is configured by a data processing device 60 configured by a computer or the like.

The display section 8 provided as a display means comprises a display 82 for displaying an image on a CRT or the like, a printer 84 as a printing means, and the like. The display section 8 may use sound generating means such as a speaker.

According to such a configuration, the count values of the respective pest detectors 22 and 24 of the counting section 2 are individually transmitted to the radio 46 by the radios 42 and 44 using the radio waves 48, and the processing section 6 , The count value is taken in for each of the pest detectors 22 and 24. This capturing timing is performed at an appropriate fixed period such as every day or every specific time.

In the data processing device 60 of the processing section 6, the following processing is performed by the processing function for processing the counting result.

A) Calculation of the peak value from the temporal change of the count value The peak value is the temporal maximum value of the number of captured animals per day for a fixed period, for example, and the peak value is calculated or searched for every fixed period from the temporal change. I do. In this case, the arrival of the peak value can be predicted by taking into account the weather habits of the pests and, for example, considering that the pests do not activate when there is more than a certain amount of rainfall.

(A) Processing for Establishing a Suitable Pest Control Period That is, from the peak value obtained in (a), a suitable control term known empirically for each pest is determined. For example, one week to ten days from the arrival of the peak value is an appropriate control period.

C) Correction of the optimum period of control In other words, the growth condition is predicted based on the weather conditions such as temperature and humidity actually measured or predicted for each pest during the optimum period of control obtained in a), and the optimum period of control is corrected. By doing so, the accuracy can be improved.

D) Correction processing based on various constraint conditions That is, not only the pests but also the appropriate control period obtained in c)
Correction of the appropriate period of control takes into account various constraints such as plant growth conditions. When performing pest control such as spraying chemicals,
It is not determined only by the amount of pests and the state of growth. It is expected that, for example, various restrictions may prevent the application of chemicals or the like depending on the growth state of the damaged plant or, in the case of commercial crops, the shipping time. In addition, the same drug may not be used depending on the history of spraying the drug on the plant.

Therefore, in consideration of the above conditions that restrict the suitable period of control determined in the above (a) and (c), the optimum period of control is actually restricted, or the optimum period of control or the drug is determined by adding the restrictive conditions.

The processing result of the processing unit 6 is displayed on the display unit 8 as prediction data. That is, the display function of the display unit 8 is achieved by the display unit 82 for displaying an image such as a CRT, the printer 84 as a printing unit, or the sounding unit such as a speaker, and displays the image in a form easily recognized. For example, a) on a CRT or one page of paper
The processing results in (a), (c), and (d) are collectively displayed, or they are selectively displayed. In this case, if there are a plurality of counting units 2 and there are a plurality of types of pests for which the occurrence is to be predicted, by displaying them collectively or separately, it is easy to confirm the generation and fate of the pests and to know the appropriate time for control. Can be.

In the embodiment, various processes have been described. However, these processes can be selected in terms of time or content. For example, the processing function is to convert measurement data received by the interface function over a certain period of time. The processing may be performed, and any one or two or more may be configured.

The pest detectors 22 and 24 may be of any type as long as they can capture and count the pests, and may use a pest sensor using sex pheromone or the like. .

Further, a public line may be used for the interface unit 4, and a mobile phone or the like may be used.

[0035]

As described above, according to the present invention,
The following effects are obtained. a. It eliminates the need for conventional human processing such as graphing the number of captured pests and detecting their peak values as in the past, increasing the fate of the pests, predicting their peak values, and improving the accuracy of the appropriate period of drug spraying. In addition to simplifying human treatment, such as facilitating the determination of the spraying range, the prediction of pest occurrence and the accuracy of the appropriate period of control can be improved. b. Using a pest counting sensor that has an automatic counting function as a counting means, captures, counts, and records the pests to be controlled, simplifies human processing, and estimates the occurrence of pests from the status of pest occurrence Can be displayed and notified. c. The calculated results, such as predicted values, can be displayed on the display means in various easily recognizable forms, such as images, prints, and voices. d. A suitable control period can be determined by adding a conventional rule of thumb to the displayed predicted value, and a highly accurate control period can be determined. e. In addition to displaying the predicted value obtained from empirical rules, temperature,
In consideration of additional measurement data such as humidity and their prediction data, it is possible to improve the accuracy of the proper period of control. f. Control of chemical spraying is not limited only by the state of the pests, but also by the growing condition of the crop, harvest time and past control methods and times, etc., but taking into account these constraints, the optimum control time is determined. I can judge. g. Multi-prediction processing and judgments, such as the addition of empirical rules, weather conditions, and other constraints, can be performed to determine the appropriate period of control, making it easier to determine the appropriate period of control, and reducing the burden on workers and the environment. The effect can be reduced.

[Brief description of the drawings]

FIG. 1 is a block diagram showing an embodiment of a pest occurrence forecasting system according to the present invention.

[Explanation of symbols]

 2 counting section (counting means) 4 interface section (interface means) 6 processing section (processing means) 8 display section (display means) 82 display 84 printer

Claims (7)

[Claims] 1. A counting means for counting the number of pests caught in a field, and a processing means for calculating, based on a time course of the count value obtained by the counting means, the generation and fate of the pest and the control time, A display means for displaying a calculation result obtained by the processing means; and a pest occurrence forecasting system, comprising: 2. The counting means and the processing means are linked through an interface means, and the count value obtained by the counting means is input to the processing means through a wired or wireless transmission means or a data input means. The pest occurrence forecasting system according to claim 1, wherein: 3. The pest occurrence forecasting system according to claim 1, wherein said processing means performs a process of calculating a peak value of said count value from a change over time. 4. The pest occurrence forecasting system according to claim 1, wherein the processing means calculates a peak value from a temporal change of the count value, and performs a process for determining an appropriate control period from the peak value. . 5. The pest occurrence according to claim 1, wherein the processing means corrects and determines an appropriate control period predicted from the time-dependent transition of the count value by adding actually measured or predicted weather conditions. Forecasting system. 6. The pest occurrence forecast according to claim 1, wherein the processing means determines an appropriate control period predicted from the change over time of the count value in consideration of constraints such as plant growth conditions. system. 7. The pest occurrence forecasting system according to claim 1, wherein the display means uses at least an indicator for displaying the transition of occurrence, the peak value, and the time of pest control for each pest.