TW202305720A - Rice blast forecasting and warning system and method - Google Patents

Abstract

Rice blast forecasting and warning system and method are provided. The system includes a rice blast data storage unit storing various rice blast-related date of a plurality of specific regions, a weather data storage unit storing a plurality of values of various weather features of history weather data and forecasting weather data of the specific regions, a rice blast forecasting unit calculating a forecasting infection value of each specific region by a rice blast forecasting model based on the history weather data and the forecasting weather data, a display unit displaying rice blast infection possibilities of the specific regions by means of a visualized map form based on the infection forecasting values of the specific regions, and a warning unit sending a warning notification to a user according to the rice blast infection possibility.

Description

Early warning system and method for rice fever

The invention relates to an early warning system and method for rice diseases and insect pests, in particular to an early warning system and method for rice fever.

Rice fever is a global rice epidemic, which is caused by the fungus (pathogenic fungus) rice fever. The occurrence of rice fever is closely related to climatic conditions. high temperature, etc.), the disease resistance of rice is poor. At this time, if the ambient humidity is high, it is beneficial for the fungus to produce molecular spores. The spores fall on the rice plants with the wind, and use mycelium to invade rice tissues to Rice that absorbs nutrients and is less resistant to disease is more susceptible to infection by Thermopylae oryzae.

The occurrence of rice fever seriously affects the yield of rice. However, the fungus may have spread in the field before the symptoms of the disease can be identified with the naked eye. It can never keep up with the ability of oryzae to spread quickly.

Therefore, it is necessary to develop an early warning system for rice fever, so that farmers can assess the possibility of rice fever early, so as to formulate a control plan as soon as possible, so as to avoid the continuous spread of rice fever, reduce the use of chemical agents, and reduce the rice harvest. loss.

The main purpose of the present invention is to provide a rice fever early warning system. The early warning system combines climate data from various weather stations in Taiwan and rice fever survey data in various regions to establish a rice fever early warning model. To predict the possibility of rice fever in rice fields in various regions by using the climate data from the station, which will help farmers to formulate prevention and control plans in advance before the symptoms of rice fever appear, so as to reduce the loss of rice harvest and reduce the environmental impact at the same time. the harm suffered. In addition, the use of different colors to present different possibilities of disease infection on the map of Taiwan also helps farmers to intuitively judge the risk of rice fever.

In order to achieve the above-mentioned purpose, the present invention provides a rice fever early warning system, the system comprising: a rice fever data storage unit for storing a variety of data related to rice fever in a plurality of specific areas; a weather data storage unit for storing multiple data of multiple climate characteristics of the historical climate data and forecast climate data of the multiple specific regions; a rice fever prediction unit, through a rice fever prediction model to obtain the multiple weather data based on the historical climate data and the forecast climate data The multiple data of the parameters are calculated to calculate the respective predicted values of disease in the multiple specific areas; a display unit is used to visually display the occurrence of diseases in the multiple specific areas in the form of a map according to the multiple predicted values of disease. the infection possibility of rice fever; and a warning unit for issuing a warning notification to a user according to the infection possibility.

In an embodiment of the present invention, the various data related to rice fever include monitoring location, monitoring date, weather station name, weather station code, weather station distance and average diseased area rate.

In an embodiment of the present invention, the various climate characteristics include at least two of air pressure, temperature, dew point temperature, relative humidity, wind speed, wind direction, rainfall, sunshine duration, visibility, ultraviolet index, and cloud cover.

In an embodiment of the present invention, the relationship between the predicted value of the disease and the possibility of the disease is: when the predicted value of the disease is greater than or equal to 0.8, the probability of the disease is high; when the predicted value of the disease is between 0.5 If the predicted value is between 0.8 and 0.8, then the probability of infection is medium; and when the predicted value of infection is less than or equal to 0.5, the probability of infection is low.

In an embodiment of the present invention, the possibility of infecting the disease is displayed visually in the form of a map in the display unit means: as the predicted value of infecting the disease increases from low to high, the map is in blue , green, yellow, orange, red, purple, and pink in order to present them in a gradient manner.

In an embodiment of the present invention, the warning unit sends the warning notification to the user when the predicted value of the disease is greater than or equal to 0.8.

In an embodiment of the present invention, the map visualization is presented as an image of a map of Taiwan.

In order to achieve the above object, the present invention also provides a method for early warning of rice fever, comprising the following steps: S10, storing various data related to rice fever in a plurality of specific areas in a rice fever data storage unit; Multiple data of multiple climate characteristics of the historical climate data samples and forecast climate data samples of the multiple specific areas are stored in a weather data storage unit; S30, using a time series algorithm in a rice fever prediction unit The various data related to rice fever in the region and the multiple data of the various climate characteristics of the historical climate data sample and the forecast climate data sample are calculated to establish a rice fever prediction model; S40. Multiple data of various climatic characteristics of the historical climate data to be predicted and the forecasted climate data to be predicted in a specific area are input into the rice fever prediction model to output the respective disease prediction values of the multiple specific areas to be measured; S50, according to The plurality of predicted disease values are visualized in the form of a map to show the possibility of rice fever occurrence in the plurality of specific areas to be tested; and S60 , sending a warning notification to a user according to the possibility of disease.

In one embodiment of the present invention, the relationship between the predicted value of the disease and the possibility of the disease is as follows: when the predicted value of the disease is greater than or equal to 0.8, the probability of the disease is high; when the predicted value of the disease is between 0.5 and 0.8, the probability of infection is medium; and when the predicted value of the disease is less than or equal to 0.5, the probability of infection is low.

In an embodiment of the present invention, the possibility of infecting the disease is displayed visually in the form of a map in the display unit means: as the predicted value of infecting the disease increases from low to high, the map is in blue , green, yellow, orange, red, purple, and pink in order to present them in a gradient manner.

In an embodiment of the present invention, the warning unit sends the warning notification to the user when the predicted value of the disease is greater than or equal to 0.8.

Before describing in detail at least one embodiment of the invention, it is to be understood that the invention is not necessarily limited to the details illustrated in its application to the examples in the following description, and that the drawings and accompanying drawings The description is only intended to make the various examples of the invention easier and more clear to understand. The invention is capable of other embodiments or of being practiced or carried out in various ways.

Sizes and values disclosed herein are not intended to be construed as strictly limited to the precise values recited, and unless otherwise indicated, various sizes are intended to represent the recited values and ranges that are functionally equivalent to the recited values.

Please refer to shown in Fig. 1, the present invention provides a kind of rice fever early warning system 10, and this system comprises: a rice fever data storage unit 100, is used to store multiple data 102 related to rice fever in a plurality of specific areas; a weather data storage The unit 200 is used to store multiple data of various climate characteristics of the historical climate data 202 and the forecast climate data 204 of the multiple specific regions; a rice fever prediction unit 300 is used to use a rice fever prediction model 302 according to the historical climate data 202 and the plurality of data of the various weather parameters of the forecast climate data 204 to calculate the respective predicted disease values 304 of the plurality of specific areas; a display unit 400 for displaying a map in the form of a map based on the plurality of predicted values 304 Visibly displaying the infection possibility 306 of rice fever in the specific areas; and a warning unit 500 for sending a warning notification 502 to a user according to the infection possibility.

In one embodiment of the present invention, the various data 102 related to rice fever include monitoring location, monitoring date, weather station name, weather station code, weather station distance and average diseased area rate, wherein the various data related to rice fever The information is obtained from the "Plant Disease Management Information Network" of the Animal and Plant Epidemic Prevention and Quarantine Bureau. This is the result of a large-scale disease survey of rice fever in the first and second phases of rice crops from 2014 to 2020 conducted by agricultural experiment improvement sites throughout Taiwan. The established database, Table 1 below will illustrate some of the survey data presented on the Plant Disease Management Information Network. In Table 1, the algorithm for the average surface probability of disease is: divide the paddy field into multiple areas, and calculate how many areas in the multiple areas have rice fever, and then divide the number of infected areas by the multiple areas to calculate the average diseased area rate.

[Table 1] Various survey data related to rice fever obtained from the Epidemic Management Information Network serial number monitoring location monitoring date weather station Weather station distance (meters) Average Diseased Area Rate name the code 1 Linnei Township, Yunlin County 103/05/14 pengjiayu 466950 1710539 0 2 Jiaoxi Township, Taoyuan City 103/03/28 new house 467050 5148.488 0 3 Jiaoxi Township, Yilan County 103/03/25 Yilan 467080 4625.476 0.126488

Please refer to FIG. 2 , how the present invention screens out rice fever investigation data and weather station data for establishing the rice fever prediction model 302 will be described below.

In one embodiment of the present invention, if the distance between the monitoring location and the corresponding weather station is greater than a predetermined distance, the survey data at the monitoring location is excluded, or the Vincenty formula is used in addition according to the longitude and latitude of the monitoring location in the center Find the closest neighbor to the monitoring site within the predetermined distance from the Meteorological Bureau's "Station Code and Station Condition Data Inquiry Network" (https://e-service.cwb.gov.tw/wdps/obs/state.htm) The corresponding weather station, the predetermined distance can be 3 kilometers to 7 kilometers according to demand, preferably 5 kilometers. The above screening is to ensure the correlation between the collected average diseased area rate and the various climate characteristics. Take Table 1 above as an example. When the predetermined distance is set to 5 kilometers, the survey data of Nos. 1 and 2 are not used because the distance between the monitoring sites No. 1 and 2 and the weather station is greater than 5 kilometers.

In one embodiment of the present invention, if there are multiple available monitoring sites at the same weather station that provide survey data in one day, the average diseased area rates measured at these available monitoring sites are averaged to obtain an effective average disease area rate. If there is only one available monitoring site with survey data at the same weather station in a day, the average diseased area rate of the available monitoring site is taken as the effective average diseased area rate.

In one embodiment of the present invention, after carrying out the above-mentioned screening, then check whether each available weather station corresponding to the plurality of available monitoring locations also has survey data of one or more monitoring locations within the last 14 days, if there is no , the survey data of the available monitoring location corresponding to the available weather station is also not used; if there is, it is compared with the average diseased area rate of the latest survey data or the effective average diseased area rate of multiple survey data on the same day, and recorded The diseased area rate of rice fever increases or decreases, and the change of the various climate characteristics that cause disease aggravation or reduction is used as a training feature for establishing the rice fever prediction model 302 .

In an embodiment of the present invention, after determining which monitoring sites survey data can be used to establish the rice fever prediction model 302, the weather station names and weather station codes corresponding to these monitoring sites can be used to inquire about these monitoring sites. The climate data of the location, wherein the historical climate data 202 and the forecast climate data 204 are obtained from the database of the Central Meteorological Bureau. The historical climate data 202 refers to the multiple data of the multiple climate characteristics from a specific time point to a period of time before, wherein the period of time can be 3 days, 7 days, 14 days, 21 days or 28 days according to requirements , but not limited to this. The forecast climate data 204 refers to the plurality of data of the plurality of climate characteristics within another period of time from the specific time point, wherein the other period of time can be 24 hours, 48 hours, 72 hours or 84 hours according to requirements, But not limited to this.

In an embodiment of the present invention, the various climate characteristics include at least two of air pressure, temperature, dew point temperature, relative humidity, wind speed, wind direction, rainfall, sunshine duration, visibility, ultraviolet index, and cloud cover.

Please refer to FIG. 3 , the present invention provides a rice fever early warning method using the above-mentioned rice fever early warning system 10, the method mainly includes the following steps: S10, storing multiple data 102 related to rice fever in a plurality of specific areas in a In the rice fever data storage unit 100; S20, store multiple data of multiple climate characteristics of the samples of historical climate data 202 and forecast climate data 204 in a weather data storage unit 200 through the communication network ; S30, using a time series algorithm in a rice fever prediction unit 300 for the multiple rice fever-related data 102 and the samples of the historical climate data 202 and the samples of the forecast climate data 204 for the multiple specific regions The multiple data of climate characteristics are calculated to establish a rice fever prediction model 302; S40, the plurality of climate characteristics of the historical climate data 202 to be predicted and the forecast climate data 204 to be predicted in a plurality of specific areas to be measured Input the data into the rice fever prediction model 302 to output the respective predicted disease values 304 of the plurality of specific regions to be tested; S50, display the plurality of predicted values 304 in a map visually according to the plurality of predicted values 304 The possibility 306 of rice fever occurring in a specific area to be tested; and S60, sending a warning notice 502 to a user according to the possibility 306 of the disease.

The early warning method for rice fever provided by the present invention is first: S10, storing various data 102 related to rice fever in a plurality of specific areas in a rice fever data storage unit 100 . In this step, the various data 102 related to rice fever include monitoring location, monitoring date, weather station name, weather station code, weather station distance and average diseased area rate. As mentioned above (refer to Figure 2), the survey data of multiple monitoring sites are first collected from the Plant Epidemic Management Information Network; then multiple available monitoring sites with a corresponding weather station within a predetermined distance are selected, If a weather station code has multiple survey data, average the average disease area rate of the multiple survey data to obtain an effective average disease area rate; Finally, only the survey data of the available monitoring sites corresponding to the available weather station codes that meet the above inspection conditions are retained.

The rice fever early warning method provided by the present invention is followed by: S20, store multiple data of multiple climate characteristics of the samples of historical climate data 202 and forecast climate data 204 in a weather data storage through the communication network Unit 200. In this step, use a communication network (such as the Internet of Things) to obtain from the Central Meteorological Bureau the multiple data of various climate characteristics of the samples of historical climate data 202 and forecast climate data 204 from the multiple available climate stations screened in step S10 , wherein the plurality of climate characteristics include at least two of air pressure, temperature, dew point temperature, relative humidity, wind speed, wind direction, rainfall, sunshine duration, visibility, ultraviolet index, and cloud cover. In a preferred embodiment, the sample of the historical climate data 202 refers to the multiple data of the various climate characteristics within at least 7 days from a specific point in time, and the sample of the forecast climate data 204 refers to the data from The plurality of data of the plurality of climate characteristics within 84 hours after the specific time point.

The rice fever early warning method provided by the present invention is followed by: S30, using a time series algorithm in a rice fever forecasting unit 300 to sample the multiple rice fever-related data 102 and the historical climate data 202 in a plurality of specific areas and The multiple data of the multiple climate characteristics of the sample of the forecast climate data 204 are calculated to establish a rice fever prediction model 302 . In this step, in the rice fever prediction unit 300, a time series algorithm is used to combine the effective average diseased area rate of the plurality of available monitoring locations in step S10 and the corresponding to the plurality of available monitoring locations in step S20. A plurality of data of the plurality of climate characteristics of a plurality of available weather stations is used to establish the rice fever prediction model 302 . In the process of establishing the rice fever prediction model 302, a later measured effective diseased area rate corresponding to the same available weather station and an earlier measured effective diseased area rate (as mentioned above, select the latest data) to compare, record the increase or decrease in the disease area rate of rice fever, and use the change of the various climate characteristics that cause the disease to increase or decrease as a training feature. As mentioned above, the later time and the earlier time The maximum interval is 14 days.

The early warning method for rice fever provided by the present invention is followed by: S40, input multiple data of various climate characteristics of the desired historical climate data 202 and the forecasted climate data 204 of multiple specific regions to be measured into the rice fever prediction model 302 , to generate the respective predicted disease values 304 of the plurality of specific areas to be tested. In this step, within a period of time to be predicted (for example, during a week), the historical climate data 202 and the forecast climate data 204 of all weather stations in Taiwan provided by the Central Meteorological Bureau for at least one selected day are combined. A plurality of characteristic data is input into the rice fever forecasting model 302. As mentioned above, the historical climate data 202 is preferably at least 7 days in advance, and the forecast climate data 204 is preferably in the future 84 hours. It should be noted that although the rice fever prediction model 302 is established using the forecast climate data 204 within 84 hours, the rice fever prediction model 302 can predict the occurrence risk of rice fever for at least 84 hours through the design of the algorithm, In one embodiment, the rice fever prediction model 302 can predict the occurrence risk of rice fever in the next 10 days on a selected day. For example, if the period to be predicted is from 2021.05.30 to 2021.06.05, then at least input the historical climate data 202 and forecast climate data 204 from 2021.05.20 to 2021.05.26 to evaluate the Rice fever disease risk. After inputting the data, the rice fever forecasting model 302 will output the forecasted disease value 304 of each weather station within the period to be forecasted.

The rice fever early warning method provided by the present invention is followed by: S50, visually displaying the rice fever infection probability 306 in the plurality of specific regions to be measured in a map form according to the plurality of predicted disease values 304 . In this step, the present invention establishes a fever disease early warning website, and presents the plurality of predicted disease values 304 of all weather stations in Taiwan calculated in step S40 within the period of time to be predicted on the map of Taiwan in a visual manner on the image. In one embodiment, the relationship between the predicted value 304 and the possibility 306 is: when the predicted value 304 is greater than or equal to 0.8, the possibility 306 is high; when the predicted value 304 is between If it is between 0.5 and 0.8, the probability of infection 306 is medium; and when the predicted value 304 of infection is less than or equal to 0.5, the probability of infection 306 is low, but not limited to this, and the development system personnel can adjust the prediction of infection according to demand The value 304 is the cut-off value for the infection probability 306 . In one embodiment, the display unit 400 visualizes the infection probability 306 in the form of a map, which means: as the predicted value 304 of infection increases from low to high, the map uses blue color. , green, yellow, orange, red, purple, and pink in order to present them in a gradient manner. In one embodiment, the relationship between the colors on the map of Taiwan and the disease probability 306 can be: blue represents low probability of disease; green, yellow and orange represent medium probability of disease; and red, purple and pink The color represents a high probability of infection, but is not limited to this division.

In an embodiment of the present invention, Figures 4A and 4B are images of two exemplary maps of Taiwan presented by the rice fever early warning system 10 of the present invention, wherein Figure 4A is presented from 2021.05.23 to 2021.05.29 A map of Taiwan, and Figure 4B is a map of Taiwan from 2021.05.30 to 2021.06.05. It can be seen from Figure 4A that regardless of the north, west, south and east, almost all areas are shown in red, purple and pink, which means that they are in a state of high possibility of infection. This may be due to the temperature in Taiwan in April and May this year. High and low rainfall, the rice is subjected to high environmental stress and therefore poor health, resulting in reduced disease resistance. Next, as can be seen from Figure 4B, except for some areas (for example, New Taipei City, Miaoli County, and Taichung to Kaohsiung) that still appear pink, the probability of infection 306 in other areas has improved, which may be due to 2021.05.29 to 2021.05. The 31 Meiyu front brought abundant rainfall to Taiwan and lowered the temperature, so the environmental pressure on rice also decreased.

The rice fever early warning method provided by the present invention is finally: S60, send a warning notice 502 to a user according to the possibility 306 of the disease. In this step, the user can enter the rice fever early warning website to check the rice fever infection probability 306 in all regions of Taiwan, and the user can also register the rice fever early warning website, so that the rice fever occurs in the area that the user is concerned about. When the possibility of rice fever infection 306 is high (as mentioned above, the predicted value 304 of the disease is greater than or equal to 0.8), the rice fever early warning website can send the warning notification 502 to the user through SMS 5022 and/or email 5024 .

To sum up, the early warning system and method for rice fever provided by the present invention are helpful for farmers to pre-assess the risk of rice fever caused by the climate, and through the early warning system to predict the possibility of rice fever, farmers can formulate contingency countermeasures in advance. For example, adjust the fertilization formula, increase the proportion of potassium fertilizer and reduce the proportion of nitrogen fertilizer, and use silicon-containing fertilizers as soil amendments to enhance the disease resistance of rice, which can reduce the damage caused by rice fever during harvest. In addition, the early warning system for rice fever also helps farmers to properly allocate manpower, instead of spending a lot of effort to inspect rice fields all the time, but to increase the frequency of inspections when the risk of disease increases, so as to effectively monitor whether rice is affected by rice fever. The diseased rice plants are immediately removed to prevent the spores from continuing to spread and infect healthy rice. This reduces the area of diseased rice and reduces the amount of chemical agents used, thereby reducing the harm of chemical agents to the soil environment.

Although the present invention has been disclosed with a number of preferred embodiments, they are not intended to limit the present invention, but only to enable those with ordinary knowledge to clearly understand the implementation content of this specification. Any person familiar with this skill in this field, without departing from the spirit and scope of the present invention, should be able to make various changes, substitutions and modifications, so the protection scope of the present invention should be as defined by the scope of the appended patent application. allow.

10: Early warning system for rice fever 100: Rice fever data storage unit 102: Materials related to rice fever 200: weather data storage unit 202: Historical climate data 204:Forecast climate data 300: Rice Fever Prediction Unit 302: Prediction Model of Rice Fever 304: Infection prediction value 306: Possibility of infection 400: display unit 500: warning unit 502: Warning notice 5022:SMS 5024: email S10-S60: Steps

[ Fig. 1 ] is a schematic diagram of a rice fever early warning system according to an embodiment of the present invention. [ FIG. 2 ] is a flow block diagram of screening data for establishing a rice fever prediction model according to an embodiment of the present invention. [ FIG. 3 ] is a flow block diagram of a rice fever early warning method according to an embodiment of the present invention. [ FIG. 4A ] and [ FIG. 4B ] are images of an exemplary map of Taiwan presented using the rice fever early warning system according to an embodiment of the present invention.

10: Early warning system for rice fever

100: Rice fever data storage unit

102: Materials related to rice fever

200: weather data storage unit

202: Historical climate data

204:Forecast climate data

300: Rice Fever Prediction Unit

302: Prediction Model of Rice Fever

304: Infection prediction value

306: Possibility of infection

400: display unit

500: warning unit

502: Warning notice

5022:SMS

5024: email

Claims (13)

A rice fever early warning system comprising: A rice fever data storage unit, used to store a variety of data related to rice fever in multiple specific regions; A weather data storage unit, used for storing multiple data of multiple climate characteristics of historical climate data and forecast climate data of the multiple specific regions; a rice fever forecasting unit, which uses a rice fever forecasting model to calculate the respective forecast values of the disease in the multiple specific regions according to the multiple data of the multiple weather parameters of the historical climate data and the forecast climate data; A display unit, used to visually display the infection probability of rice fever in the plurality of specific areas in a map form according to the plurality of disease prediction values; and A warning unit is used for sending a warning notice to a user according to the possibility of infection. The early warning system for rice fever as described in Claim 1, wherein the various data related to rice fever include monitoring location, monitoring date, weather station name, weather station code, weather station distance and average diseased area rate. The early warning system for rice fever according to claim 1, wherein the multiple climate characteristics include at least two of air pressure, temperature, dew point temperature, relative humidity, wind speed, wind direction, rainfall, sunshine duration, visibility, ultraviolet index and cloud cover. The rice fever early warning system as described in claim 1, wherein the relationship between the predicted value of the disease and the possibility of the disease is: when the predicted value of the disease is greater than or equal to 0.8, the possibility of the disease is high; when the predicted value of the disease is If the value is between 0.5 and 0.8, the possibility of the disease is medium; and when the predicted value of the disease is less than or equal to 0.5, the possibility of the disease is low. The early warning system for rice fever according to claim 4, wherein the possibility of disease infection is displayed visually in the form of a map in the display unit means: as the predicted value of disease infection increases from low to high, the map form The system is presented in a gradient manner in the order of blue, green, yellow, orange, red, purple and pink. The early warning system for rice fever according to claim 4, wherein the warning unit sends the warning notification to the user when the predicted value of the disease is greater than or equal to 0.8. The early warning system for rice fever as described in claim 1, wherein the visualization in the form of a map is presented as an image of a map of Taiwan. A rice fever early warning method, comprising the following steps: (S10) storing multiple data related to rice fever in a rice fever data storage unit in a plurality of specific regions; (S20) storing a plurality of data of various climate characteristics of the historical climate data samples and the forecast climate data samples of the plurality of specific regions in a weather data storage unit through the communication network; (S30) Using a time series algorithm in a rice fever prediction unit for the plurality of data related to rice fever in a plurality of specific regions and the plurality of climate characteristics of the historical climate data sample and the forecast climate data sample Data calculation to establish a rice fever prediction model; (S40) Input multiple data of various climatic characteristics of historical climate data to be predicted and forecast climate data to be predicted in the specific areas to be measured into the rice fever prediction model, so as to generate the respective data of the specific areas to be measured The predicted value of the disease; (S50) visually displaying the infection probability of rice fever in the plurality of specific areas to be tested in a map form according to the plurality of predicted disease values; and (S60) Sending a warning notification to a user according to the possibility of infection. The early warning method for rice fever as described in Claim 8, wherein the various data related to rice fever include monitoring location, monitoring date, weather station name, weather station code, weather station distance and average diseased area rate. The early warning system for rice fever according to claim 8, wherein the multiple climate characteristics include at least two of air pressure, temperature, dew point temperature, relative humidity, wind speed, wind direction, rainfall, sunshine duration, visibility, ultraviolet index and cloud cover. The early warning method for rice fever as described in claim item 8, wherein the relationship between the predicted value of the disease and the possibility of the disease is: when the predicted value of the disease is greater than or equal to 0.8, the probability of the disease is high; when the predicted value of the disease is greater than or equal to 0.8 If it is between 0.5 and 0.8, then the possibility of the disease is medium; and when the predicted value of the disease is less than or equal to 0.5, then the possibility of the disease is low. The early warning method for rice fever according to claim 11, wherein the possibility of disease infection is displayed visually in the form of a map in the display unit means: as the predicted value of disease infection increases from low to high, the map form The system is presented in a gradient manner in the order of blue, green, yellow, orange, red, purple and pink. The early warning method for rice fever according to claim 11, wherein the warning unit sends the warning notification to the user when the predicted value of the disease is greater than or equal to 0.8.

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