TWI796616B - Interactive dynamic forecast system for crop growth cycle and yield - Google Patents

Abstract

An interactive dynamic prediction system for crop growth cycle and yield is used to solve the problem that the prior art cannot dynamically correct the prediction result in real time. The system comprises: an input module for inputting a crop information and a field information of a predetermined field; an environmental information module for obtaining an environmental information of the predetermined field; a control module, which uses obtain a corresponding characteristic environmental ecological parameter which the corp information obtains from the initial environmental information, use the crop information, the field information, and the characteristic environmental ecological parameter to predict the future growth cycle of the crop planted in the predetermined field, and use the predicted The growth cycle predicts the future output of the crop, and dynamically corrects the prediction result of the crop growth cycle and output with the latest environmental information and transmits it to an output module.

Description

Interactive Dynamic Prediction System of Crop Growth Cycle and Yield

The present invention relates to a forecasting system, in particular to an interactive dynamic forecasting system for crop growth cycle and yield, which uses a forecasting model to predict the estimated harvest date and estimated yield of a crop, and dynamically adjusts and updates it at any time.

The known crop forecasting system has a detection platform and a management platform. The detection platform senses the environmental factors of the planting land through an environmental sensing module to obtain an environmental parameter set, and the planting in the planting land to obtain the growth parameter set of the crop during planting; the management platform is coupled to the detection platform, and inputs the environmental parameter set and the growth parameter set into a prediction model for analysis to obtain The estimated production date and estimated yield of the crops, similar to an embodiment of the conventional crop forecasting system, have been disclosed in the Republic of China Publication No. I695339 Patent Case.

The above-mentioned known crop forecasting system is based on extracting the historical data of the growth cycle and yield of the crops for calculation. Therefore, the estimated production date and estimated yield obtained by the forecasting module are all fixed values. It is impossible to make real-time calculations based on the real-time environmental information of the farmland, and to select different environmental parameters for different crop types and growth periods, so as to dynamically correct the estimated production date and the estimated yield, so that the prediction results of the crops cannot be accurate, and It is impossible for farmers to respond immediately to change the relevant values to increase the output to the target value.

In view of this, the conventional crop forecasting system still needs to be improved.

In order to solve the above problems, the purpose of the present invention is to provide an interactive dynamic prediction system for crop growth cycle and yield, which can calculate the customized characteristic parameters of a crop through crop and field information, and real-time environmental information, and provide dynamic correction. Prediction results to predict the growth cycle and yield of the crop.

The second object of the present invention is to provide an interactive dynamic prediction system for crop growth cycle and yield, which uses different characteristic environmental ecological parameters for different growth stages.

The "planting method" mentioned throughout the present invention refers to new planting, and non-new planting methods such as perennial roots and grafted seedlings, but is not intended to limit the present invention.

The "cultivation methods" mentioned throughout the present invention refer to methods such as organic agriculture, conventional agriculture, non-toxic cultivation and natural farming methods, but are not intended to limit the present invention.

The elements and components described throughout the present invention use the quantifier "a" or "an" only for convenience and to provide the usual meaning of the scope of the present invention; in the present invention, it should be interpreted as including one or at least one, and singular The notion of also includes the plural unless it is obvious that it means otherwise.

The crop growth cycle and yield interactive dynamic prediction system of the present invention includes: an input module for a user to input crop information and field information of a predetermined field; an environmental information module for obtaining the predetermined field information One environmental information; one output module, used to output a prediction result, the prediction result is used for the user to plan the harvesting schedule and arrange the passage; and a control module, coupled to the input module, the environment information module and the output module, the control module obtains the crop information and the field information from the input module, and obtains the environmental information from the environmental information module, and the control module initially Extract the corresponding one from the environmental information The characteristic environmental ecological parameters, the control module predicts the future growth cycle of the crops planted in the predetermined field according to the crop information, the field information and the characteristic environmental ecological parameters, so as to obtain an expected harvest date, the control module The group performs forecasting based on the expected harvest date, the crop information, the field information and the characteristic environmental ecological parameters to obtain an estimated yield, the control module uses the expected harvest date and the expected yield as the forecast result, and Continuously modify the prediction result dynamically according to the characteristic environmental ecological parameters converted from the latest environmental information, and the control module transmits the prediction result to the output module; wherein, the control module generates an environmental information according to the environmental information matrix, the row and column information of the environmental information matrix is the environmental information and the date when the environmental information was obtained respectively, and the control module converts the environmental information matrix into a characteristic environmental ecology according to the crop information and the field information through an algorithm The parameter matrix is to obtain the characteristic environmental ecological parameters of a crop from the characteristic environmental ecological parameter matrix, and input them together with the crop information and the field information into a built-in growth cycle and yield prediction model, so that the growth cycle and yield The prediction model predicts and outputs the expected harvest date and expected yield of the crop; and the control module extracts the corresponding characteristics from the environmental information according to the growth cycle of the crops planted in the predetermined field in different stages of growth Environmental ecological parameters, and the characteristic environmental ecological parameters change corresponding to the growth cycles of the crops in different periods.

Accordingly, the crop growth cycle and yield interactive dynamic prediction system of the present invention is able to calculate a characteristic environmental ecological parameter in line with crop physiology and customization based on crop information, field information, and real-time environmental information, and provide dynamically corrected predictions. As a result; the control module can calculate the characteristic environmental ecological parameters of the crops in each day, and input these parameters into the crop growth cycle and yield prediction model to provide users with the most real-time growth cycle and yield forecast result. In this way, the crop growth cycle and yield interactive dynamic prediction system of the present invention can achieve the effect of assisting users in future harvesting schedule planning and route arrangement to reduce labor costs. In addition, the control module can select different characteristic environmental ecology according to the growth stage of crops. The parameters have the effect of improving the prediction accuracy of crop growth cycle and yield.

Wherein, the environmental information includes at least one of an atmospheric temperature, a humidity, a light intensity, a soil water content, a soil electrical conductivity and a soil temperature. In this way, it has the effect of improving the prediction accuracy of crop growth cycle and yield.

Wherein, the crop information includes a planting location, a crop type and a planting date, and the field information includes a crop plant quantity, a planting method, a cultivation method and a field area. In this way, it has the effect of improving the prediction accuracy of crop growth cycle and yield.

Wherein, when the crop planted in the predetermined field is tomato, the characteristic environmental ecological parameters include a day length, a night length, a light intensity, a night average temperature, a day maximum temperature and a crop growth accumulated temperature. In this way, it has the effect of accurately predicting the expected harvest date and output of the small tomato.

〔this invention〕

100:Crop growth cycle and yield interactive dynamic forecasting system

1: Input module

2: Environmental information module

3: Output module

4: Control module

41: Growth cycle and yield prediction model

200: Forecasting Methods

S11: step

S13: step

S15: step

S17: step

[Fig. 1] A system block diagram of a preferred embodiment of the present invention.

[Fig. 2] the operation flowchart of a preferred embodiment of the present invention.

[Fig. 3] A schematic diagram of the prediction results of a preferred embodiment of the present invention on the day of planting.

[Fig. 4] A schematic diagram of the prediction results of a preferred embodiment of the present invention 10 days after the planting date.

[Fig. 5] A schematic diagram of the prediction results of a preferred embodiment of the present invention 60 days after the planting date.

In order to make the above and other objects, features and advantages of the present invention more comprehensible, preferred embodiments of the present invention will be described in detail below together with the accompanying drawings.

Please refer to shown in Fig. 1, it is that the crop growth cycle of the present invention interacts with output A preferred embodiment of the state prediction system 100 includes an input module 1 , an environment information module 2 , an output module 3 and a control module 4 .

The input module 1 is for a user to input crop information and field information of a predetermined field. Specifically, the crop information can include a planting location (such as land number, field), a crop type, and a planting date. Preferably, the crop information can also have a fertilization schedule or/and an irrigation Agricultural operation information such as schedule; the field information may include a crop plant quantity, a planting method, a cultivation method and a field area.

In addition, it should be emphasized that in the present invention, the input module 1 can be a mouse and keyboard group connected to the control module 4 in a wired or wireless manner, or can be connected to the control module 4 through a network. A connected cloud server or a smart mobile device (such as a smart phone, a tablet or a notebook computer) with network and input functions is not used as a limitation of the present invention.

The environmental information module 2 is used to obtain an environmental information of the predetermined field. In this embodiment, the environmental information may include an atmospheric temperature, a humidity, an illumination intensity, a soil water content, a soil electrical conductivity and at least one of a soil temperature. For example, the above environmental information can be obtained through an aerial camera, a satellite or/and a field monitoring server (Filed Server, FS) and other environmental information module 2, and can also be obtained from the public weather information of the Bureau of Meteorology. It is worth mentioning that the environmental information module 2 can send the environmental information to the control module 4 at intervals of a cycle time. In this embodiment, the cycle time is one hour, but it is not limited to this .

The output module 3 is used to output a forecast result. In the present invention, the forecast result can include information such as an expected harvest date and expected yield of a crop, so that the user can plan the harvest schedule and route s arrangement. Those with ordinary knowledge in the relevant fields of the present invention can understand that if the crops belong to leafy vegetables, then it is not necessary to predict their flowering date; if the crops belong to fruits, then their flowering days must be predicted. The line with a better prediction result may also have an expected flowering date of the crop. For example but without limitation, the output module 3 series can be A display or an intelligent mobile device with a display function.

The control module 4 is coupled to the input module 1, the environment information module 2 and the output module 3, the control module 4 obtains the crop information and the field information from the input module 1, and obtains the information from the environment The information module 2 obtains the environmental information; the control module 4 extracts a corresponding characteristic environmental ecological parameter from the initial environmental information according to the crop information, and the characteristic environmental ecological parameter will vary according to the type of the agricultural crop. changed; the control module 4 predicts the future growth cycle of the crops planted in the predetermined field according to the crop information, the field information and the characteristic environmental ecological parameters, so as to obtain an estimated harvest date; the control module 4 making predictions based on the expected harvest date, the crop information, the field information and the characteristic environmental and ecological parameters to obtain an estimated yield; the control module 4 takes the expected harvest date and the expected yield as the forecast result, And continue to dynamically correct the prediction result according to the characteristic environmental ecological parameters converted from the latest environmental information; the control module 4 transmits the prediction result to the output module 3, so that the output module 3 displays the prediction result for this user to view.

Specifically, the control module 4 can generate an environmental information matrix according to the environmental information obtained by the environmental information module 2, and the row and column information of the environmental information matrix are respectively the environmental information and the date when the environmental information was obtained . The control module 4 can convert the environmental information matrix into a characteristic environmental ecological parameter matrix according to the crop information and the field information through an algorithm. The control module 4 obtains the characteristic environmental ecological parameters of the crop from the characteristic environmental ecological matrix, and inputs them together with the crop information and the field information into a built-in growth cycle and yield prediction model 41, so that the growth cycle and the yield prediction model 41 predict the future growth cycle of the crop to obtain the expected flowering date and the expected harvest date of the crop; the growth cycle and yield prediction model 41 is based on the expected flowering date and the expected harvest The crop data, the field information and the characteristic environmental ecological parameters are used to predict the future yield of the crop to obtain the expected yield of the crop; It is output as the prediction result. Among them, the growth cycle and yield prediction model 41 can use a regression model, a random forest model or a neural network model to predict the expected flowering date, expected harvest date and expected yield of the crop, but not This is the limit.

For example, the present invention uses "tomato" as the predicted crop for illustration, and its prediction method 200 is described as follows. Users (such as: field workers) can input the crop information and the field information through the input module 1, and send the crop information and the field information to the control module 4, and the control module 4 is controlled by the The environmental information module 2 obtains the environmental information of the field for planting small tomatoes, such as: atmospheric temperature, humidity, light intensity, soil water content, soil electrical conductivity, soil temperature (step S11); because the temperature suitable for small tomato growth is during the day It is different from night time. Therefore, the control module 4 can extract the corresponding characteristic environmental ecological parameters from the above environmental information based on the crop information and field information of the tomato through the algorithm. That is, the algorithm can The French system can calculate the latitude and longitude coordinates based on the planting location, and calculate the daily sunrise and sunset times based on the date, so as to obtain the length of day and night that will affect the growth factors of small tomatoes. The length of the day and the length of the night; on the other hand, the average night temperature and the maximum temperature during the day that will affect the growth factors of the small tomato are obtained from the atmospheric temperature, and the crops that will affect the growth factors of the small tomato are obtained by converting the atmospheric temperature Growth accumulated temperature (step S13).

Then, the control module 4 can input the crop information, the field information and the characteristic environmental ecological parameters into the growth cycle and yield prediction model 41, so that the growth cycle and yield prediction model 41 can receive The characteristic environmental and ecological parameters are predicted, so as to predict the predicted flowering date, expected harvest date and expected yield of the tomato, so as to provide the most real-time growth cycle and yield forecast (step S15). Finally, the control module 4 outputs the forecast results of the crop's expected flowering date, expected harvest date, and expected yield through the output module 3, so that the user can plan the harvest schedule and route. Schedule (step S17).

It is worth mentioning that since the control module 4 can extract corresponding characteristic environmental and ecological parameters from the environmental information according to the growth stages of the crops planted in the predetermined field, for example: the growth of small tomatoes in different periods Period (such as: seedling stage and flowering stage), may have different requirements for light intensity, temperature difference, soil moisture content, daytime soil moisture content difference, soil electrical conductivity, and soil electrical conductivity difference. Therefore, in this In the growth cycle and yield prediction model 41, these variables will be taken into consideration to provide more accurate prediction results.

Please refer to Figures 3 to 5, the planting date of the small tomato is December 20, 2019. On the day of the planting of the small tomato, since no environmental information has been obtained, the interactive dynamic prediction of the crop growth cycle and yield in the present invention The system 100 can first estimate the expected harvest date of small tomatoes based on historical environmental information, and the estimated expected harvest date is from April 15, 2020 to May 25, 2020, and the daily estimated The output is between 590~690 kg/min. As time goes by, the data of the real-time environmental information received will be different from the data of the historical environmental information. Therefore, after ten days after the tomato planting day, with the changes of the environmental information and the characteristic environmental ecological parameters, this The invented system 100 estimates the expected harvest date of small tomatoes, and gradually corrects it to the interval from March 10, 2020 to April 10, 2020. Due to the forecast change of the expected harvest date of the tomato, the growth cycle and yield forecasting model 41 will re-predict the forecast yield of the tomato according to such a change, so as to re-estimate the estimated daily yield of the tomato as Between 450~480 kg/min. As the number of planting days of small tomatoes reaches the 60th day, the growth cycle and yield prediction model 41 estimates that the expected harvest sunset of small tomatoes will be between April 1, 2020 and May 7, 2020, and the daily The expected yield is between 530 and 560 kg/min, and there is only two days' difference from the actual harvesting date of the user. Therefore, through the system 100 of the present invention, the user can plan the harvest schedule and arrange the passage in advance according to the information such as the expected harvest date and the expected output, so as to reduce the labor cost.

To sum up, the crop growth cycle and yield interactive dynamic prediction system of the present invention can calculate a suitable crop information based on crop information, field information and real-time environmental information. Physiological and customized characteristic environmental ecological parameters, and provide dynamically corrected prediction results. In this way, the crop growth cycle and yield interactive dynamic forecasting system of the present invention can achieve the effect of assisting users in future harvesting schedule planning and path arrangement and planning to reduce labor costs.

Although the present invention has been disclosed by using the above-mentioned preferred embodiments, it is not intended to limit the present invention. It is still within the scope of this invention for anyone skilled in the art to make various changes and modifications relative to the above-mentioned embodiments without departing from the spirit and scope of the present invention. The technical scope protected by the invention, therefore, the scope of protection of the present invention should be defined by the scope of the appended patent application.

100:Crop growth cycle and yield interactive dynamic forecasting system

1: Input module

2: Environmental information module

3: Output module

4: Control module

41: Growth cycle and yield prediction model

Claims (4)

An interactive dynamic prediction system for crop growth cycle and output, comprising: an input module for a user to input crop information and field information of a predetermined field; an environment information module for obtaining an environment of the predetermined field Information; an output module, used to output a prediction result, the prediction result is used for the user to plan the harvesting schedule and route arrangement; and a control module, coupled to the input module, the environmental information module group and the output module, the control module obtains the crop information and the field information from the input module, and obtains the environmental information from the environmental information module, and the control module obtains the environmental information from the initial environmental information based on the crop information A corresponding characteristic environmental ecological parameter is extracted from the information, and the control module predicts the future growth cycle of the crops planted in the predetermined field according to the crop information, the field information and the characteristic environmental ecological parameter, so as to obtain a The estimated harvest date, the control module predicts according to the estimated harvest date, the crop information, the field information and the characteristic environmental ecological parameters to obtain an estimated yield, the control module uses the estimated harvest date and the The estimated output is taken as the forecast result, and the forecast result is continuously corrected dynamically according to the characteristic environmental ecological parameters converted from the latest environmental information, and the control module transmits the forecast result to the output module; wherein, the control module An environmental information matrix is generated according to the environmental information, and the row and column information of the environmental information matrix are respectively the environmental information and the date when the environmental information was obtained, and the control module uses an algorithm to generate the environmental information based on the crop information and the field information. The environmental information matrix is converted into a characteristic environmental ecological parameter matrix, and the characteristic environmental ecological parameters of a crop are obtained from the characteristic environmental ecological parameter matrix, and are input together with the crop information and the field information into a built-in growth cycle and yield forecast A model that enables the growth cycle and yield forecasting model to predict and output the expected harvest date and expected yield of the crop; and the growth of the control module in different periods of the growth stage of the crop planted in the predetermined field The cycle is to extract the corresponding characteristic environmental ecological parameters from the environmental information, and the characteristic environmental ecological parameters change corresponding to the growth cycles of the crops in different periods. According to claim 1, the crop growth cycle and yield interactive dynamic prediction system, wherein the environmental information includes at least one of atmospheric temperature, humidity, light intensity, soil water content, soil electrical conductivity, and soil temperature. For example, the crop growth cycle and yield interactive dynamic forecasting system of claim 1, wherein the crop information includes a planting location, a crop type and a planting day, and the field information includes a crop plant number, a planting method, a cultivation method and A field area. For example, the crop growth cycle and yield interactive dynamic prediction system of claim 1, wherein, when the crop planted in the predetermined field is tomato, the characteristic environmental ecological parameters include a length of day, a length of night, a light intensity, and a night The average temperature, the maximum temperature during the day and the accumulated temperature for crop growth.

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