CN111638306A - Crop dynamic monitoring method, device, equipment and system - Google Patents
Crop dynamic monitoring method, device, equipment and system Download PDFInfo
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Abstract
The invention provides a crop dynamic monitoring method, a device, equipment and a system, wherein the method comprises the steps of continuously acquiring the moisture content of monitoring points on crops through a moisture nondestructive monitoring device; for each monitoring point, generating moisture content change information according to the moisture content continuously acquired; determining moisture transmission information flow data according to the moisture content change information of each monitoring point, wherein the moisture transmission information flow data comprises the moisture transmission rate between any two monitoring points and the moisture absorption amount of the crops in any time period; and guiding the intelligent control execution device to carry out automatic operation according to the water transmission information flow data. The invention has the advantages that the moisture conditions of different parts of the crops and the whole crop in the whole life cycle can be obtained according to the moisture content of different monitoring points of the monitored crops, the flowing transportation information of the moisture in the crops can be obtained, and the invention has the advantages of low cost and simple operation.
Description
Technical Field
The invention relates to the technical field of agricultural information, in particular to a crop dynamic monitoring method, device, equipment and system.
Background
Moisture is an important condition factor for crop growth, and different crops have large difference in moisture requirements; the different growth speeds of the same crop at different growth stages are different, and the corresponding water demand, the drought tolerance and resistance and the moisture sensitivity are different. For example, in the critical period of crop water demand, the yield will be greatly affected due to lack or excess water. Therefore, the method has important significance for accurately monitoring the water absorption condition and the water shortage and water demand condition of the crops in different growth periods.
Conventional methods of monitoring crop moisture generally include: arranging a soil moisture sensor in soil, and monitoring moisture content information of the soil; monitoring crop spectral information at fixed points through a hyperspectral imaging analyzer, and inverting crop moisture information through the spectral information and a model; and monitoring crop leaf area index and spectral information by a satellite remote sensing method.
However, the traditional method for monitoring the crop moisture has major disadvantages, for example, the soil moisture monitoring method can only monitor soil moisture information, cannot directly monitor the moisture status in the crop body, is difficult to directly judge whether the current soil moisture meets the crop growth, and the soil sensor also has the defects of easy corrosion, short service cycle, high updating cost and the like. The hyperspectral imaging analysis method is used for measuring the crop spectrum information, the crop moisture information cannot be directly measured, and in addition, the hyperspectral imaging equipment is expensive in cost and complex to operate. The satellite remote sensing method is only suitable for large-area monitoring, needs to be combined with ground fixed-point measurement, and is low in measurement precision.
Disclosure of Invention
The invention provides a crop dynamic monitoring method, a device, equipment and a system, which can accurately monitor the moisture conditions of crops at different periods.
In a first aspect, the present invention provides a crop dynamic monitoring method, including:
continuously acquiring the moisture content of monitoring points on crops through a moisture nondestructive monitoring device, wherein each crop is provided with at least two monitoring points, and each monitoring point is correspondingly provided with a moisture monitoring device;
for each monitoring point, generating moisture content change information according to the moisture content continuously acquired;
determining moisture transmission information flow data according to the moisture content change information of each monitoring point, wherein the moisture transmission information flow data comprises the moisture transmission rate between any two monitoring points and the moisture absorption amount of the crops in any time period;
and guiding the intelligent control execution device to carry out automatic operation according to the water transmission information flow data.
Further, determining the moisture transport information stream based on the moisture content change information for each monitoring point comprises:
determining any two monitoring points as a first monitoring point and a second monitoring point;
when the moisture content of the first monitoring point meets a preset moisture condition, determining the current time as a first time;
when the moisture content of the second monitoring point meets the preset moisture condition, determining the current time as a second time;
determining the moisture transmission rate and the moisture absorption amount according to the time difference between the first time and the second time and the distance between the first monitoring point and the second monitoring point, and determining any two monitoring points for the moisture transmission information flow as a first monitoring point and a second monitoring point;
when the moisture content of the first monitoring point meets a preset moisture condition, determining the current time as a first time;
when the moisture content of the second monitoring point meets the preset moisture condition, determining the current time as a second time;
determining the moisture transmission rate and the moisture absorption amount according to the time difference between the first time and the second time and the distance between the first monitoring point and the second monitoring point, and determining any two monitoring points for the moisture transmission information flow as a first monitoring point and a second monitoring point;
when the moisture content of the first monitoring point meets a preset moisture condition, determining the current time as a first time;
when the moisture content of the second monitoring point meets the preset moisture condition, determining the current time as a second time;
and determining the moisture transmission rate and the moisture absorption amount according to the time difference value of the first time and the second time and the distance between the first monitoring point and the second monitoring point, and determining the moisture transmission information flow.
Further, before continuously acquiring the moisture content of the monitoring point on the crop through the moisture monitoring device, the method further comprises the following steps:
calibrating a monitoring device, and obtaining a reference water content corresponding to a monitoring point of a crop, wherein the reference water content eta is the optimal water content of plant tissues for healthy growth of the plant;
setting the reference water content as a reference value of the moisture monitoring device;
and determining an information flow monitoring reference line of the moisture monitoring device according to the reference moisture content.
Further, the method comprises the step of constructing a crop health index, a moisture profit and loss index, an irrigation index and a drainage index according to the monitored moisture transmission information flow, wherein the crop health index, the moisture profit and loss index, the irrigation index and the drainage index are used for guiding intelligent operation.
Further, after determining the moisture transmission information flow data according to the moisture content change information of each monitoring point, the method further comprises the following steps:
acquiring water transmission information flow data in a yield period and acquiring a final yield corresponding to the yield period;
and establishing a yield prediction model according to the water transmission information flow data and the final yield in the yield period, wherein the yield prediction model is used for outputting a corresponding predicted yield according to the input water transmission information flow data.
Further, acquiring moisture transport information flow data for a production cycle further comprises:
acquiring external influence parameters in the yield period;
establishing a yield prediction model according to the water transmission information flow data and the final yield in the yield period comprises the following steps:
and establishing a yield prediction model according to the water transmission information flow data, the external influence parameters and the final yield in the yield period, wherein the yield prediction model is used for outputting a corresponding predicted yield according to the input water transmission information flow data and the external influence parameters.
Further, the external influence parameter comprises at least one of illumination intensity, ambient temperature, ambient humidity, irrigation intensity and fertilization intensity;
the time period of data monitoring can be expanded, the granularity of the data can be monthly, weekly, daily, hourly or per minute, the parameters of different time periods can be monitored, and the yield of different time periods can be predicted.
In a second aspect, the present invention further provides a crop dynamic monitoring apparatus, including:
the moisture nondestructive monitoring module is used for continuously acquiring the moisture content of monitoring points on crops through a moisture monitoring device, wherein each crop is provided with at least two monitoring points, and each monitoring point is correspondingly provided with the moisture monitoring device;
the content change generation module is used for generating moisture content change information according to the moisture content continuously acquired at each monitoring point;
the information flow monitoring module is used for determining moisture transmission information flow data according to moisture content change information of each monitoring point, wherein the moisture transmission information flow data comprises moisture transmission rate between any two monitoring points and moisture absorption amount of the crops in any time period;
the monitoring reference calibration module is used for calibrating the monitoring device, acquiring reference water content corresponding to the monitoring point of the crop and determining an information flow monitoring reference line of the moisture monitoring device;
the yield estimation and prediction module is used for outputting corresponding predicted yield according to the input water information flow data and the crop growth external influence parameters;
and the intelligent operation module is used for constructing a crop health index, a moisture profit and loss index, an irrigation index and a drainage index, and inputting information into the intelligent control execution device for automatic operation, wherein the automatic operation is irrigation, drainage, fertilization or other related operations.
In a third aspect, the present invention further provides a crop dynamic monitoring apparatus, including a memory, a processor, and a computer program stored in the memory and executable on the processor, where the processor executes the computer program to implement a crop dynamic monitoring method according to any embodiment of the present invention.
In a fourth aspect, the present invention further provides a crop dynamic monitoring system, on which a computer program is stored, and when the computer program is executed by a processor, the crop dynamic monitoring method according to any embodiment of the present invention is implemented.
The invention provides a crop dynamic monitoring scheme, which is characterized in that the moisture content of monitoring points on crops is continuously obtained through a moisture nondestructive monitoring device; for each monitoring point, generating moisture content change information according to the moisture content continuously acquired; determining moisture transmission information flow data according to the moisture content change information of each monitoring point, wherein the moisture transmission information flow data comprises the moisture transmission rate between any two monitoring points and the moisture absorption amount of the crops in any time period; and guiding the intelligent control execution device to carry out automatic operation according to the water transmission information flow data. The invention has the advantages that the moisture conditions of different parts of the crops and the whole crop in the whole life cycle can be obtained according to the moisture content of different monitoring points of the monitored crops, the moisture flowing and transporting information in the crops can be obtained, and the invention has the advantages of low cost and simple operation.
Drawings
FIG. 1 is a flow chart of a method for dynamically monitoring crops according to a first embodiment of the present invention;
fig. 2 is a schematic view of a scenario of a crop dynamic monitoring method according to an embodiment of the present invention;
FIG. 3 is a flow chart of another method for dynamically monitoring crops according to one embodiment of the present invention;
FIG. 4 is a flow chart of a method for dynamically monitoring crops according to a second embodiment of the present invention;
FIG. 5 is a schematic structural diagram of a crop dynamic monitoring apparatus according to a third embodiment of the present invention;
fig. 6 is a schematic diagram of a hardware structure of a crop dynamic monitoring apparatus in a fifth embodiment of the present invention;
FIG. 7 is a schematic view of a moisture nondestructive testing micro flexible sensor attached to a plant leaf for testing according to an embodiment of the present invention;
fig. 8 is a schematic diagram of a monitoring baseline for moisture transport information flow in an embodiment of the invention.
Detailed Description
The present invention will be described in further detail with reference to the accompanying drawings and examples. It is to be understood that the specific embodiments described herein are merely illustrative of the invention and are not limiting of the invention. It should be further noted that, for the convenience of description, only some of the structures related to the present invention are shown in the drawings, not all of the structures.
Example one
Fig. 1 is a flowchart of a crop dynamic monitoring method according to an embodiment of the present invention, where the method may be executed by a crop dynamic monitoring apparatus, where the apparatus may be implemented by software and/or hardware, and may be generally integrated on a hardware platform, and specifically includes the following steps:
s100, continuously acquiring the moisture content of monitoring points on the crops through a moisture nondestructive monitoring device, wherein at least two monitoring points are arranged on each crop, and each monitoring point is correspondingly provided with a moisture monitoring device.
In this embodiment, the moisture nondestructive monitoring device can be the miniature flexible sensor of moisture nondestructive monitoring through the preparation of novel functional modification nano-composite and micro-nano processing technology, moisture nondestructive monitoring device can be one or more monitoring point department on arranging the surface of crop in, and moisture nondestructive monitoring device can gather the moisture content that the monitoring point of crop corresponds the position. Referring to fig. 7, in an embodiment, the moisture nondestructive testing micro flexible sensor 131 is attached to the plant leaf 132, and the detection signal of the moisture nondestructive testing micro flexible sensor 131 is connected to the monitoring data processing server 133 through a wire.
At least two monitoring points are arranged on each crop, the monitoring points are respectively arranged on different parts of the crop, and each monitoring point is correspondingly provided with a moisture nondestructive monitoring device so as to collect the moisture content of the monitoring point at a fixed point. Fig. 2 is a scene schematic diagram of a crop dynamic monitoring method according to an embodiment of the present invention, and exemplarily, as shown in fig. 2, a crop 10 includes a stem and a leaf, a plurality of monitoring points 11a may be disposed on the stem, corresponding monitoring points may be disposed on the leaf, and a number is assigned to a moisture nondestructive monitoring device corresponding to each monitoring point. Multiple monitoring points can be arranged on the same position, and for example, the monitoring point 11b and the monitoring point 11c can be respectively arranged on the blade base and the blade tip of the blade.
Because different parts of the crop are different from the root of the crop, and the water evaporation degrees of different parts are also different, a plurality of monitoring points need to be arranged at different parts of the crop so as to acquire the water content of different parts of the crop.
Optionally, before the moisture content of the monitoring point on the crop is continuously acquired by the moisture nondestructive monitoring device, the moisture nondestructive monitoring device can be calibrated, and the method can comprise the following steps:
the method comprises the steps of calibrating a monitoring device, obtaining a reference water content corresponding to a monitoring point of a crop, wherein the reference water content eta is the optimal water content of a plant tissue of the healthy growth of the plant, specifically, obtaining the reference water content eta corresponding to the monitoring point of the crop through calibrating a sensor of a nondestructive monitoring device for the water, and the reference water content eta is the optimal water content of the plant tissue of the healthy growth of the plant.
And setting the reference water content as a reference value of the moisture nondestructive monitoring device.
And determining an information flow monitoring reference line of the moisture monitoring device according to the reference moisture content. Specifically, a monitoring reference line tau of the moisture nondestructive monitoring device about the moisture transmission information flow is determined according to the reference moisture content eta, wherein tau is f (eta). A monitoring baseline for moisture transport information flow for one embodiment is shown in fig. 8.
The reference water content is the reference water content of any part on the crop, and the reference value of the moisture nondestructive monitoring device for monitoring the part is calibrated according to the reference water content of any part, so that the monitoring accuracy of the moisture nondestructive monitoring device can be improved.
Optionally, the reference moisture content is a leaf moisture content of leaves on the crop, and accordingly, the leaf moisture content may be set as a reference value of the nondestructive moisture monitoring device.
The water content of the leaves can be obtained according to a slice weighing method, illustratively, the leaves consistent with the leaves to be monitored on the crops are selected, the leaves are picked up and weighed to obtain the fresh weight of the leaves; and then, baking the leaves to dry the moisture in the leaves for 24 hours, and weighing the leaves to obtain the dry weight of the leaves. And calculating the leaf water content of the crop according to the fresh weight and the dry weight of the leaves, wherein the leaf water content is (fresh weight of the leaves-dry weight of the leaves)/fresh weight of the leaves x%.
After the leaf moisture content is obtained, the leaf moisture content can be calibrated for the moisture nondestructive monitoring device, and the leaf moisture content can be set as a reference value of the moisture nondestructive monitoring device, namely the leaf moisture content is set as the initial moisture content measured by placing the moisture nondestructive monitoring device on the leaf to be monitored.
And S101, generating moisture content change information according to the continuously acquired moisture content for each monitoring point.
Wherein the moisture content change information is information of the moisture content at the monitoring point changing with time, and may be a moisture content change curve, for example. After the crops are irrigated, the moisture content of the monitoring points on the crops can gradually rise along with the time, and after the crops are irrigated, the moisture content of the monitoring points can gradually decrease along with the transpiration of the crops.
Moisture content change information is generated according to the moisture content which is continuously obtained, the moisture content change information can reflect the conditions of the moisture in the crops at different time points, and further required information can be extracted from the moisture change information.
S102, determining moisture transmission information flow data according to moisture content change information of each monitoring point, wherein the moisture transmission information flow data comprises moisture transmission rates between any two monitoring points and moisture absorption amounts of the crops in any time period.
The moisture transmission information flow data is data which reflects the change information of the moisture in the crops and the moisture condition in the crops. The moisture change information comprises the movement information of moisture in the crops, and can be the moisture transmission rate between any two monitoring points, and the moisture condition in the crops is the moisture absorption amount of the crops in any time period.
After watering the crop, water is absorbed from the root of the crop and gradually transported up, along the stem of the crop and towards the leaves. The state of the crop is different, and the transmission rate of the corresponding moisture moving in the crop is different. Illustratively, if the moisture transmission rate within the crop is low, this may indicate a low root vigor of the crop or a problem with disease of the crop. The moisture content in the crop can also reflect the state of the crop, and for example, after the crop is irrigated, if the moisture content of the crop is not increased, the crop may have diseases and the like.
The moisture transmission rate between any two monitoring points can be determined according to the change of the moisture content of the two monitoring points within the preset time, moisture can be transmitted in crops after the crops are irrigated, and the moisture transmission rate is determined according to the change of the moisture content measured by the two monitoring points through which the moisture transmission successively passes.
Alternatively, as shown in fig. 3, the step of determining moisture transmission information flow data according to the moisture content variation information of each monitoring point may be implemented as follows:
and S1021, determining any two monitoring points as a first monitoring point and a second monitoring point.
The two monitoring points can be two monitoring points positioned at the same part of the crop or two monitoring points positioned at different parts. Illustratively, the first monitoring point may be the monitoring point on the stem of the crop closest to the root, and the second monitoring point may be the higher monitoring point on the stem of the crop, from which the rate of moisture transmission through the stem is obtained. The first monitoring point and the second monitoring point are two monitoring points through which moisture is transmitted successively.
And S1022, when the moisture content of the first monitoring point meets the preset moisture condition, determining that the current time is the first time.
The preset moisture condition may be a situation that the monitored moisture content changes suddenly, for example, if the increase of the moisture content of the monitoring point in the first time is greater than a first threshold, it is determined that the moisture content of the first monitoring point meets the preset moisture condition, that is, the moisture content of the monitoring point changes suddenly. If the moisture content of the first monitoring point meets the preset moisture condition, the moisture is transmitted to the first monitoring point from the root, and the current time is recorded as the first time.
And S1023, when the moisture content of the second monitoring point meets the preset moisture condition, determining that the current time is the second time.
If the moisture content of the second monitoring point meets the preset moisture condition, the moisture is transmitted from the root to the second monitoring point, and the current time is recorded as the second time.
And S1024, determining the moisture transmission rate and the moisture absorption amount according to the time difference value between the first time and the second time and the distance between the first monitoring point and the second monitoring point, and determining the moisture transmission rate and the moisture absorption amount as a moisture transmission information flow.
The distance is a transmission distance of moisture in the crop, and exemplarily, if the second monitoring point is a blade tip of a blade and the first monitoring point is a monitoring point on the stem, the distance is the sum of the length of the blade where the second monitoring point is located and the distance from the blade base of the blade where the second monitoring point is located to the first monitoring point.
And the moisture transmission rate V is (L2-L1)/(T2-T1), wherein L2 is the distance from the second monitoring point to the root of the crop, L1 is the distance from the first monitoring point to the root of the crop, T2 is the second time, and T1 is the first time.
According to the operation, the moisture transmission rate between any two monitoring points can be obtained, namely the moisture transmission rate of the moisture at different parts of the crops can be obtained and determined as a moisture transmission information flow.
In this embodiment, a plant health index, a water profit and loss index, an irrigation index and a drainage index may be constructed according to the monitored water transmission information flow, so as to guide a control execution device, such as an irrigation device, a fertilizer application device or a drainage device, to perform intelligent operation, where the intelligent operation is irrigation, drainage or other related operations.
The moisture absorption amount of the crop in any time period can be the moisture absorption amount of the whole crop in any time period, and can comprise the moisture absorption amount of all leaves of the crop in any time period; the amount of water absorbed by the stem of the crop over any period of time may also be included.
For each monitoring point, the moisture absorption of the crop at any time can be calculated according to the moisture content measured at any time period by each monitoring point. Illustratively, a period of time is selected, the moisture nondestructive monitoring device arranged on the leaves of the crops monitors a plurality of moisture contents of the leaves of the crops in the period of time, at least two moisture contents of a starting point and an ending point of the period of time are monitored, then the moisture content of the crops at the starting point and the moisture content of the crops at the ending point can be respectively calculated according to the moisture contents, and the moisture absorption amount of the crops in the period of time can be obtained according to the two moisture contents.
The moisture content of the monitoring point monitored by the moisture nondestructive monitoring device is the moisture content of the position of the monitoring point, and the reference moisture content of the crop can be calculated according to the moisture content of the position of the monitoring point. The reference moisture content may be a moisture content within one unit, and for example, for the moisture content of the leaves of the crop, the reference moisture content may be a moisture content within one square centimeter. The moisture content of the entire leaf can be calculated from the reference moisture content. The moisture absorption amount of the leaves in the period can be obtained according to the moisture contents of the leaves at two time points.
The moisture absorption amount for the stem of the crop can also be calculated from the moisture absorption amount of the whole plant in the above manner. Further, the water absorption amount of the whole crop in any time period can be obtained.
According to the moisture transmission information flow data determined by the moisture content change information of each monitoring point, the moisture conditions of different parts and the whole crops in different periods can be obtained, and then managers can monitor and manage the crops according to the moisture transmission information flow data.
Optionally, the method for continuously acquiring the moisture content of the monitoring point on the crop further comprises the following steps:
and continuously acquiring the element content of the monitoring points on the crops through the element monitoring device.
Continuously acquiring element content through an element monitoring device arranged on the surface of the crop, wherein the element content is the content of elements contained in the moisture, and the elements comprise at least one of heavy metal content, pesticide content and nutrient solution content; correspondingly, the element monitoring device is at least one of a heavy metal monitoring device, a pesticide monitoring device and a nutrient solution monitoring device. The heavy metal monitoring device is made of a heavy metal sensitive material, the pesticide monitoring device is made of a pesticide residue sensing sensitive material, and the nutrient solution monitoring device is made of a nutrient sensitive material.
Correspondingly, element content change information is generated according to the continuously acquired element content, and element information flow data is determined according to the element content change information of each monitoring point, wherein the element information flow data comprises the element transmission rate between any two monitoring points and the element absorption amount of the crops in any time period.
The element monitoring device can continuously acquire the element content of the monitoring points on the crops, can obtain element information flow data in the crops, can obtain the conditions of various elements at different positions in the crops and at different periods of the whole crops, and can further assist an administrator in monitoring and managing the crops.
And S103, guiding the intelligent control execution device to carry out automatic operation according to the water transmission information flow data.
In this embodiment, automatic operation is performed according to the determined water transmission information flow data, and an intelligent control execution device, such as an automatic irrigation watering device, may be used to perform water replenishment irrigation when the water loss exceeds a preset threshold, or perform carbon dioxide gas replenishment when the carbon dioxide concentration is lower than a preset threshold by using a gas replenishment device, or perform replenishment illumination when the illumination is lower than a preset threshold by using an artificial light source.
The embodiment of the invention provides a crop dynamic monitoring scheme, which is characterized in that the moisture content of monitoring points on crops is continuously obtained through a moisture nondestructive monitoring device; for each monitoring point, generating moisture content change information according to the moisture content continuously acquired; determining moisture transmission information flow data according to the moisture content change information of each monitoring point, wherein the moisture transmission information flow data comprises the moisture transmission rate between any two monitoring points and the moisture absorption amount of the crops in any time period; and guiding the intelligent control execution device to carry out automatic operation according to the water transmission information flow data. The invention has the advantages that the moisture conditions of different parts of the crops and the whole crop in the whole life cycle can be obtained according to the moisture content of different monitoring points of the monitored crops, the moisture flowing and transporting information in the crops can be obtained, and the invention has the advantages of low cost and simple operation.
In an alternative embodiment, after determining the moisture transmission information flow data according to the moisture content variation information of each monitoring point, the method may further include:
example two
Fig. 4 is a flowchart of a crop dynamic monitoring method according to a second embodiment of the present invention, where the method may be executed by a crop dynamic monitoring apparatus, where the apparatus may be implemented by software and/or hardware, and may be generally integrated on a hardware platform, and specifically includes the following steps:
s110, continuously acquiring the moisture content of monitoring points on the crops through a moisture nondestructive monitoring device, wherein each crop is provided with at least two monitoring points, and each monitoring point is correspondingly provided with the moisture nondestructive monitoring device.
And S111, generating moisture content change information according to the continuously acquired moisture content for each monitoring point.
And S112, determining moisture transmission information flow data according to the moisture content change information of each monitoring point, wherein the moisture transmission information flow data comprises the moisture transmission rate between any two monitoring points and the moisture absorption amount of the crops in any time period.
For the above-mentioned specific implementation of the operations, reference may be made to the above-mentioned related description, and further description is omitted here.
S113, acquiring water transmission information flow data in a production period, and acquiring a final production corresponding to the production period.
The production information flow data in the water transport information flow data may be extracted, and the water transport information flow data obtained in one production period may be the production information flow data obtained in one production period.
The yield information flow data is the moisture transmission rate and moisture absorption amount of the time period which can affect the crop yield. The time period corresponding to the output information flow data can be adjusted according to different monitoring methods of monitoring personnel. For example, the moisture transmission rate and the moisture absorption amount in the preset time period after the crops are irrigated can be used for reflecting the final yield of the crops, the better the moisture absorption amount in the preset time period after the crops are irrigated is, the higher the final yield of the crops is, and the corresponding yield information flow data can be the moisture transmission rate and the moisture absorption amount in the preset time period after the crops are irrigated. The method can also be used for monitoring the moisture transmission rate and the moisture absorption amount corresponding to the monitoring time of the crops in different growth cycles, wherein the growth cycles comprise a germination period, a seedling period, a mature period, a flowering period and the like, the growth conditions of the crops can be reflected by the difference of moisture transmission information flow data of the crops in different growth cycles, a certain relation is formed between the moisture transmission information flow data and the final yield of the crops, and the corresponding yield information flow data can be the moisture transmission rate and the moisture absorption amount in preset time periods of different growth cycles.
The yield cycle is a life cycle of one-time production of the crop, for example, if the yield cycle of the crop is half a year, half-year moisture transmission information flow data is determined, that is, moisture content change information of monitoring points within half a year is acquired, and then the yield information flow data can be determined according to the half-year moisture content change information.
By acquiring the water transfer information flow data and the final yield of the whole yield period, a yield prediction model can be established, namely, a corresponding prediction output is generated according to the existing water transfer information flow data and the yield prediction model.
S114, establishing a yield prediction model according to the water transmission information flow data and the final yield in the yield period, wherein the yield prediction model is used for outputting the corresponding predicted yield according to the input water transmission information flow data.
The yield prediction model is used for reflecting the corresponding relation between the water transmission information flow data and the final yield, and the water transmission information flow data and the final yield meet the following relation: and r is f1(w), wherein w is water transport information flow data, r is final yield, and f1 is a yield prediction model. And when the yield period is not over, substituting the collected water transmission information flow data into the yield prediction model, and calculating to obtain the final yield, namely the predicted yield.
For example, for a crop with a half-year yield cycle, the moisture transmission information flow data of the first three months of the crop is collected, the moisture transmission information flow data of the next three months can adopt preset reference information flow data, and the collected moisture transmission information flow data and the preset reference information flow data are substituted into the yield prediction model to generate the predicted yield. The preset reference information flow data may be determined according to actually acquired moisture transmission information flow data, or may be preset reference information flow data with fixed parameters. The more moisture transport information flow data collected, the more accurate the resulting predicted yield.
For example, a yield prediction model may be established according to a machine learning model, and water transport information flow data of a plurality of crops in a yield cycle and corresponding final yields may be input to the machine learning model as training data to generate the yield prediction model, and the yield prediction model may output corresponding predicted yields according to the input water transport information flow data.
Illustratively, the corresponding relation between the water transmission information flow and the final yield can be obtained through a fitting method according to the water transmission information flow data and the discrete data of the final yield in the yield period so as to determine the yield prediction model.
Optionally, when acquiring the moisture transmission information flow data in one production period and acquiring the final production corresponding to the production period, the method further includes: acquiring external influence parameters in the yield period, wherein the external influence parameters comprise at least one of daily illumination intensity, environmental temperature, environmental humidity, soil parameters, irrigation intensity and fertilization intensity.
Correspondingly, a yield prediction model is established according to the water transmission information flow data, the external influence parameters and the final yield in the yield period, wherein the yield prediction model is used for outputting the corresponding predicted yield according to the input water transmission information flow data and the external influence parameters. The time period of data monitoring can be expanded, the granularity of the data can be monthly, weekly, daily, hourly or per minute, the parameters of different time periods can be monitored, and the yield of different time periods can be predicted.
The external influence parameters are parameters of external factors which can influence the final yield of crops, and illustratively, the external factors comprise weather factors, environmental factors of planting areas, artificial factors of fertigation and the like. Optionally, the external influencing parameter comprises at least one of illumination intensity, ambient temperature, ambient humidity, irrigation intensity and fertilization intensity.
The external influence parameters have certain influence on the water transmission information flow data, for example, if the water absorption amount of the water transmission information flow data terminal of the crop is low, the irrigation strength of the crop is not enough, and the root system of the crop is absorbed slowly due to low environmental temperature.
Therefore, the water transmission information flow data, the corresponding external influence parameters and the final yield in a yield period can be obtained to establish a yield prediction model, the yield prediction model can embody the corresponding relation of the three, the external influence parameters are further increased to serve as prediction conditions, and the accuracy of yield prediction can be improved. The water transport information flow data and the final yield satisfy the following relationship: and r is f2(w, e), wherein w is water transport information flow data, e is an external influence parameter, r is a final yield, and f2 is a yield prediction model.
For example, the yield prediction model may be established according to a machine learning model, and the water transmission information flow data of the multiple crops in the yield period, the corresponding external influence parameters and the corresponding final yield may be input to the machine learning model as training data to generate the yield prediction model. The corresponding relation between the water transmission information flow, the external influence parameters and the final yield can be obtained through a fitting method so as to determine a yield prediction model.
In one embodiment, the time period for data monitoring may be extended, and the data granularity may be monthly, weekly, daily, hourly, or per minute.
Optionally, a moisture influence model can be established according to the moisture transmission information flow data and the external influence parameters, the moisture influence model can reflect the corresponding relation between the external influence parameters and the moisture transmission information flow data, and early warning can be performed on crops according to the moisture influence model. The water influence model can output predicted water transmission information flow data according to external influence parameters, if the actually acquired water transmission information flow data deviates from the predicted water transmission information flow data, the growth of the crops is indicated to be in problem, and early warning can be carried out to remind managers. Illustratively, if it is determined that the crop has just been irrigated according to the irrigation intensity in the external influence parameters, and the moisture transmission rate and the moisture absorption amount in the moisture transmission information flow data of the actually collected crop are low, it indicates that the crop has a problem.
The crops can be warned according to the yield prediction model, for example, if the predicted yield is lower than a set threshold, the occurrence of problems in crop growth is indicated, and factors such as illumination, temperature, natural disasters and plant diseases and insect pests may occur, so that managers of the crops can be reminded to manage the crops.
According to the embodiment of the invention, moisture transmission information flow data in a yield period is acquired, and the final yield corresponding to the yield period is acquired; and establishing a yield prediction model according to the water transmission information flow data and the final yield in the yield period, predicting the final yield according to the input water transmission information flow data through the yield prediction model, and further assisting managers of crops to make a crop purchase plan in advance, cope with market fluctuation and the like, so that the management of the crops can be further optimized.
EXAMPLE III
Fig. 5 is a schematic structural diagram of a crop dynamic monitoring apparatus according to a third embodiment of the present invention, where the apparatus may be implemented by software and/or hardware, and may be generally integrated on a hardware platform. As shown in fig. 5, the crop dynamic monitoring apparatus includes:
the moisture nondestructive monitoring module 200 is used for continuously acquiring the moisture content of monitoring points on crops through a moisture nondestructive monitoring device, wherein each crop is provided with at least two monitoring points, and each monitoring point is correspondingly provided with the moisture nondestructive monitoring device;
in this embodiment, the moisture nondestructive monitoring module 200 is attached to be installed on the surface of plant tissue to monitor through the miniature flexible sensor device of moisture nondestructive monitoring prepared by the novel functional modification nano composite material and the micro-nano processing technology, and is used for continuously and nondestructively acquiring the moisture content of the monitoring point on the crop on line.
A content change generation module 201, configured to generate moisture content change information according to the moisture content continuously obtained for each monitoring point;
and the information flow monitoring module 202 is configured to determine moisture transmission information flow data according to the moisture content change information of each monitoring point, where the moisture transmission information flow data includes a moisture transmission rate between any two monitoring points and a moisture absorption amount of the crop in any time period.
The monitoring reference calibration module 203 is used for calibrating the monitoring device, acquiring reference water content corresponding to the monitoring point of the crop, and determining an information flow monitoring reference line of the moisture monitoring device;
the yield estimation and prediction module 204 is used for outputting corresponding predicted yield according to the input water information flow data and the crop growth external influence parameters;
and the intelligent operation module 205 is used for constructing a crop health index, a moisture profit and loss index, an irrigation index and a drainage index, and inputting information into the intelligent control execution device for automatic operation, wherein the automatic operation is irrigation, drainage, fertilization or other related operations.
The embodiment of the invention provides a crop dynamic monitoring device, which is used for continuously acquiring the moisture content of monitoring points on crops through a moisture nondestructive monitoring device; for each monitoring point, generating moisture content change information according to the moisture content continuously acquired; and determining moisture transmission information flow data according to the moisture content change information of each monitoring point, wherein the moisture transmission information flow data comprises the moisture transmission rate between any two monitoring points and the moisture absorption amount of the crops in any time period. The embodiment of the invention has the advantages that the moisture conditions of different parts of the crops and the whole crops in different periods can be obtained according to the moisture content of different monitoring points of the monitored crops, more accurate moisture information can be obtained, and the method has the advantages of low cost and simple operation.
Optionally, the information flow monitoring module is specifically configured to:
determining any two monitoring points as a first monitoring point and a second monitoring point;
when the moisture content of the first monitoring point meets a preset moisture condition, determining the current time as a first time;
when the moisture content of the second monitoring point meets the preset moisture condition, determining the current time as a second time;
and determining the moisture transmission rate according to the time difference value between the first time and the second time and the distance between the first monitoring point and the second monitoring point, and determining the moisture transmission rate as a moisture transmission information flow.
And the monitoring reference calibration module is used for calibrating the sensor of the monitoring device, acquiring the reference water content corresponding to the monitoring point of the crop before continuously acquiring the water content of the monitoring point on the crop through the moisture nondestructive monitoring device, determining the information flow monitoring reference line of the moisture nondestructive monitoring device, and setting the reference water content as the reference value of the moisture nondestructive monitoring device.
Optionally, the reference water content is a leaf water content of a leaf on the crop, and the monitoring reference calibration module is specifically configured to: and setting the water content of the leaves as a reference value of the nondestructive moisture monitoring device.
Optionally, the method further comprises:
the data acquisition module is used for acquiring moisture transmission information flow data in a yield period and acquiring the final yield corresponding to the yield period after determining the moisture transmission information flow data according to the moisture content change information of each monitoring point;
and the model generation module is used for establishing a yield prediction model according to the water transmission information flow data and the final yield in the yield period, wherein the yield prediction model is used for outputting a corresponding predicted yield according to the input water transmission information flow data.
Optionally, the data obtaining module is further configured to: acquiring external influence parameters in the yield period;
the model generation module is specifically configured to: and establishing a yield prediction model according to the water transmission information flow data, the external influence parameters and the final yield in the yield period, wherein the yield prediction model is used for outputting a corresponding predicted yield according to the input water transmission information flow data and the external influence parameters.
Optionally, the external influencing parameter comprises at least one of illumination intensity, ambient temperature, ambient humidity, irrigation intensity and fertilization intensity.
Example four
Embodiments of the present invention further provide a crop dynamic monitoring system including computer-executable instructions, where the computer-executable instructions, when executed by a processor of the crop dynamic monitoring system, are configured to perform a crop dynamic monitoring method, where the method includes:
continuously acquiring the moisture content of monitoring points on crops through a moisture nondestructive monitoring device, wherein each crop is provided with at least two monitoring points, and each monitoring point is correspondingly provided with the moisture nondestructive monitoring device;
for each monitoring point, generating moisture content change information according to the moisture content continuously acquired;
and determining moisture transmission information flow data according to the moisture content change information of each monitoring point, wherein the moisture transmission information flow data comprises the moisture transmission rate between any two monitoring points and the moisture absorption amount of the crops in any time period.
Optionally, the computer executable instructions, when executed by the computer processor, may be further configured to perform a method for crop dynamics monitoring provided by any of the embodiments of the present invention.
From the above description of the embodiments, it is obvious for those skilled in the art that the present invention can be implemented by software and necessary general hardware, and certainly, can also be implemented by hardware, but the former is a better embodiment in many cases. Based on such understanding, the technical solutions of the present invention may be embodied in the form of a software product, which may be stored in a storage medium of a crop dynamics monitoring system, such as a floppy disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a FLASH Memory (FLASH), a hard disk, or an optical disk of a computer, and includes several instructions to enable a computer device (which may be a personal computer, a server, or a network device) to execute the methods according to the embodiments of the present invention.
EXAMPLE five
As shown in fig. 6, a schematic diagram of a hardware structure of a crop dynamic monitoring apparatus provided in a fifth embodiment of the present invention is shown in fig. 6, where the crop dynamic monitoring apparatus includes:
one or more processors 410, one processor 410 being exemplified in FIG. 6;
a memory 420;
the crop dynamic monitoring apparatus may further include: an input device 430 and an output device 440.
The processor 410, the memory 420, the input device 430 and the output device 440 in the crop dynamics monitoring apparatus may be connected by a bus or other means, and fig. 6 illustrates an example of the connection by the bus.
The memory 420 is a non-transitory computer-readable storage medium, and can be used to store software programs, computer-executable programs, and modules, such as program instructions/modules corresponding to a crop dynamic monitoring method in an embodiment of the present invention (for example, the non-destructive moisture monitoring module 200, the content change generation module 201, and the information flow monitoring module 202 shown in fig. 5). The processor 410 executes various functional applications and data processing of the crop dynamic monitoring apparatus by executing software programs, instructions and modules stored in the memory 420, so as to implement a crop dynamic monitoring method of the above-described method embodiment.
The memory 420 may include a storage program area and a storage data area, wherein the storage program area may store an operating system, an application program required for at least one function; the storage data area may store data created according to the use of the crop dynamics monitoring method, and the like. Further, the memory 420 may include high speed random access memory, and may also include non-transitory memory, such as at least one magnetic disk storage device, flash memory device, or other non-transitory solid state storage device. In some embodiments, memory 420 may optionally include memory located remotely from processor 410, which may be connected to the terminal device via a network. Examples of such networks include, but are not limited to, the internet, intranets, local area networks, mobile communication networks, and combinations thereof.
The input device 430 may be used to receive input numeric or character information and generate key signal inputs relating to user settings and function controls of the crop dynamics monitoring apparatus. The output device 440 may include a display device such as a display screen.
It is to be noted that the foregoing is only illustrative of the preferred embodiments of the present invention and the technical principles employed. It will be understood by those skilled in the art that the present invention is not limited to the particular embodiments described herein, but is capable of various obvious changes, rearrangements and substitutions as will now become apparent to those skilled in the art without departing from the scope of the invention. Therefore, although the present invention has been described in greater detail by the above embodiments, the present invention is not limited to the above embodiments, and may include other equivalent embodiments without departing from the spirit of the present invention, and the scope of the present invention is determined by the scope of the appended claims.
Claims (10)
1. A method for dynamically monitoring crops, comprising:
continuously acquiring the moisture content of monitoring points on crops through a moisture nondestructive monitoring device, wherein each crop is provided with at least two monitoring points, and each monitoring point is correspondingly provided with a moisture monitoring device;
for each monitoring point, generating moisture content change information according to the moisture content continuously acquired;
determining moisture transmission information flow data according to the moisture content change information of each monitoring point, wherein the moisture transmission information flow data comprises the moisture transmission rate between any two monitoring points and the moisture absorption amount of the crops in any time period;
and guiding the intelligent control execution device to carry out automatic operation according to the water transmission information flow data.
2. The method of claim 1, wherein determining a moisture transport information flow from the moisture content change information for each monitoring point comprises:
determining any two monitoring points as a first monitoring point and a second monitoring point;
when the moisture content of the first monitoring point meets a preset moisture condition, determining the current time as a first time;
when the moisture content of the second monitoring point meets the preset moisture condition, determining the current time as a second time;
and determining the moisture transmission rate and the moisture absorption amount according to the time difference value of the first time and the second time and the distance between the first monitoring point and the second monitoring point, and determining the moisture transmission information flow.
3. The method of claim 1, further comprising, prior to continuously obtaining moisture content at a monitoring point on the crop via the moisture monitoring device:
calibrating a monitoring device, and acquiring a reference water content corresponding to a monitoring point of a crop, wherein the reference water content is the optimal water content of plant tissues for healthy growth of the plant;
setting the reference water content as a reference value of the moisture monitoring device;
and determining an information flow monitoring reference line of the moisture monitoring device according to the reference moisture content.
4. The method of claim 1, further comprising constructing a crop health index, a moisture profit and loss index, an irrigation index, and a drainage index from the monitored flow of moisture transmission information, the crop health index, the moisture profit and loss index, the irrigation index, and the drainage index being used to guide intelligent operations.
5. The method of any one of claims 1 to 4, wherein after determining moisture transmission information flow data based on moisture content change information for each monitoring point, further comprising:
acquiring water transmission information flow data in a yield period and acquiring a final yield corresponding to the yield period;
and establishing a yield prediction model according to the water transmission information flow data and the final yield in the yield period, wherein the yield prediction model is used for outputting a corresponding predicted yield according to the input water transmission information flow data.
6. The method of claim 5, wherein obtaining moisture transport information flow data for a production cycle further comprises:
acquiring external influence parameters in the yield period;
establishing a yield prediction model according to the water transmission information flow data and the final yield in the yield period comprises the following steps:
and establishing a yield prediction model according to the water transmission information flow data, the external influence parameters and the final yield in the yield period, wherein the yield prediction model is used for outputting a corresponding predicted yield according to the input water transmission information flow data and the external influence parameters.
7. The method of claim 6, wherein the ambient influence parameter comprises at least one of light intensity, ambient temperature, ambient humidity, irrigation intensity and fertilization intensity;
the time period of data monitoring can be expanded, the granularity of the data can be monthly, weekly, daily, hourly or per minute, the parameters of different time periods can be monitored, and the yield of different time periods can be predicted.
8. A crop dynamics monitoring apparatus, comprising:
the moisture nondestructive monitoring module is used for continuously acquiring the moisture content of monitoring points on crops through a moisture monitoring device, wherein each crop is provided with at least two monitoring points, and each monitoring point is correspondingly provided with the moisture monitoring device;
the content change generation module is used for generating moisture content change information according to the moisture content continuously acquired at each monitoring point;
the information flow monitoring module is used for determining moisture transmission information flow data according to moisture content change information of each monitoring point, wherein the moisture transmission information flow data comprises moisture transmission rate between any two monitoring points and moisture absorption amount of the crops in any time period;
the monitoring reference calibration module is used for calibrating the monitoring device, acquiring reference water content corresponding to the monitoring point of the crop and determining an information flow monitoring reference line of the moisture monitoring device;
the yield estimation and prediction module is used for outputting corresponding predicted yield according to the input water information flow data and the crop growth external influence parameters;
and the intelligent operation module is used for constructing a crop health index, a moisture profit and loss index, an irrigation index and a drainage index, and inputting information into the intelligent control execution device for automatic operation, wherein the automatic operation is irrigation, drainage, fertilization or other related operations.
9. Crop dynamics monitoring apparatus comprising a memory, a processor and a computer program stored on the memory and executable on the processor, characterized in that the processor, when executing the program, carries out the method according to any one of claims 1-7.
10. A crop dynamics monitoring system having a computer program stored thereon, which when executed by a processor implements the method according to any of claims 1-7.
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