CN109197276B

CN109197276B - Method and device for determining grade of agricultural product and method for harvesting agricultural product

Info

Publication number: CN109197276B
Application number: CN201811217301.4A
Authority: CN
Inventors: 刘波; 李文奇
Original assignee: Guangzhou Xaircraft Technology Co Ltd
Current assignee: Guangzhou Xaircraft Technology Co Ltd
Priority date: 2018-10-18
Filing date: 2018-10-18
Publication date: 2021-12-24
Anticipated expiration: 2038-10-18
Also published as: CN109197276A

Abstract

The application discloses a method and a device for determining grade of agricultural products and a method for harvesting the agricultural products. Wherein, the method comprises the following steps: obtaining pesticide application information of the crops in the target area from the historical record, wherein the pesticide application information comprises at least one of the following information: pesticide type, total pesticide spraying amount and pesticide spraying frequency; determining at least one first evaluation index of the agricultural product corresponding to the crop according to the pesticide application information, wherein the at least one first evaluation index is used for representing the quality degree of the agricultural product; and determining grade information to which the agricultural product belongs based on at least the at least one first evaluation index. The agricultural product grade determining method and device based on the pesticide spraying amount solve the technical problems that farmers determine agricultural product grades according to pesticide spraying amount and subjective experience, actual data support is lacked, and accuracy is low.

Description

Method and device for determining grade of agricultural product and method for harvesting agricultural product

Technical Field

The application relates to the field of agriculture, in particular to a method and a device for determining grade of agricultural products and a method for harvesting the agricultural products.

Background

At present, the grade of the agricultural product is generally determined by manually determining information such as color, size, taste and the like of the agricultural product after the agricultural product is ripe.

In the prior art, before agricultural products are mature, when farmers determine the grade of the agricultural products, the grade of the agricultural products is estimated mostly according to the growth vigor of the current agricultural products and/or the spraying amount of the agricultural products and the approximate date of the mature agricultural products, actual data support is lacked, the subjectivity is strong, and the accuracy is low.

No effective solution has been proposed to the above technical problems.

Disclosure of Invention

The embodiment of the application provides a method and a device for determining the grade of an agricultural product and a method for harvesting the agricultural product, and aims to solve the technical problems that the grade of the agricultural product is determined by farmers according to the pesticide spraying amount and subjective experience, actual data support is lacked, and the accuracy is low.

According to an aspect of an embodiment of the present application, there is provided a method of determining a grade of an agricultural product, the method including: obtaining pesticide application information of the crops in the target area from the historical record, wherein the pesticide application information comprises at least one of the following information: pesticide type, total pesticide spraying amount and pesticide spraying frequency; determining at least one first evaluation index of agricultural products corresponding to the crops according to the pesticide application information, wherein the at least one first evaluation index is used for expressing the quality degree of the agricultural products; and determining grade information to which the agricultural product belongs based on at least one first evaluation index.

Optionally, determining at least one first evaluation index of the agricultural product corresponding to the crop according to the pesticide application information includes: the method comprises the following steps of inputting medicine application information into a first preset model for analysis, and obtaining at least one first evaluation index corresponding to the medicine application information, wherein the first preset model is obtained through training of multiple groups of data, and each group of data in the multiple groups of data comprises: the sample application information and a first evaluation index corresponding to the sample application information.

Optionally, before determining the grade information to which the agricultural product belongs based on at least one first evaluation index, the method further comprises: acquiring first weather information of a target area in a preset time period from a historical record; determining a second evaluation index of the agricultural product based on the first weather information; determining grade information to which the agricultural product belongs based on at least one first evaluation index, wherein the grade information comprises: carrying out weighted average on the first evaluation index and the second evaluation index to obtain a target evaluation index; and determining grade information of the agricultural products according to the target evaluation index.

Optionally, after determining the grade information to which the agricultural product belongs based on at least the at least one first evaluation index, the method further comprises: judging whether the grade corresponding to the grade information of the crops reaches a target grade or not; and if the grade corresponding to the grade information of the crops does not reach the target grade, performing supplementary pesticide spraying on the crops according to the target pesticide application information corresponding to the target grade in the historical data.

Optionally, the method further comprises: acquiring second weather information when the crops are sprayed, determining the pesticide residue of the agricultural products according to the second weather information and the pesticide application information, and determining a third evaluation index of the agricultural products according to the pesticide residue.

Optionally, determining a third evaluation index of the agricultural product according to the pesticide residue, comprising: inputting the pesticide residue into a second preset model for analysis to obtain a third evaluation index corresponding to the pesticide residue, wherein the second preset model is obtained by training a plurality of groups of data, and each group of data in the plurality of groups of data comprises: and the sample pesticide residue and a third evaluation index corresponding to the sample pesticide residue.

Optionally, before determining the grade information to which the agricultural product belongs based on at least one first evaluation index, the method further comprises: the grade information is determined based on at least two of the first evaluation index, the second evaluation index, and the third evaluation index.

Optionally, after determining the grade information to which the agricultural product belongs based on at least one first evaluation index, the method further comprises at least one of: determining unit price information of the agricultural product corresponding to the purchase grade information; determining virtual resources required for purchasing the agricultural products with the target quantity according to the unit price information and the target quantity; when the target areas are multiple and the multiple target areas are located in different sales areas, determining the target sales areas of the agricultural products according to the grade information of the agricultural products in the multiple target areas, wherein the grades of the agricultural products in the sales areas where the agricultural products are located and the grades of the agricultural products in the target sales areas are different.

There is also provided, in accordance with another aspect of an embodiment of the present application, a method for harvesting an agricultural product, the method including receiving grade information of the agricultural product, wherein the grade information is determined by: obtaining pesticide application information of the crops in the target area from the historical record, wherein the pesticide application information comprises at least one of the following information: pesticide type, total pesticide spraying amount and pesticide spraying frequency; determining at least one first evaluation index of agricultural products corresponding to the crops according to the pesticide application information, wherein the at least one first evaluation index is used for expressing the quality degree of the agricultural products; determining grade information to which the agricultural product belongs based on at least one first evaluation index; and controlling the crop harvesting equipment to harvest the crops according to the grade information.

According to another aspect of the embodiment of the application, a harvesting method of agricultural products is further provided, and the method comprises the following steps of obtaining pesticide application information of the agricultural products in the target area from the historical records, wherein the pesticide application information comprises at least one of the following: pesticide type, total pesticide spraying amount and pesticide spraying frequency; determining at least one first evaluation index of agricultural products corresponding to the crops according to the pesticide application information, wherein the at least one first evaluation index is used for expressing the quality degree of the agricultural products; determining grade information to which the agricultural product belongs based on at least one first evaluation index; determining the position information of agricultural products belonging to different grades; the position information is sent to the crop harvesting device.

There is also provided, in accordance with another aspect of an embodiment of the present application, a method for harvesting an agricultural product, the method including: acquiring at least one first evaluation index of agricultural products corresponding to the agricultural crops in the target area, wherein the at least one first evaluation index is used for expressing the quality degree of the agricultural products; determining grade information to which the agricultural product belongs based on at least one first evaluation index; determining the position information of agricultural products belonging to different grades; the position information is sent to the crop harvesting device.

According to another aspect of the embodiment of the application, a method for harvesting agricultural products is further provided, and the method comprises the steps of receiving grades of the agricultural products corresponding to the agricultural products in a target area and position information of the agricultural products of the same grade; generating a harvesting strategy according to the grade and the position information, wherein the harvesting strategy at least comprises the following steps: a movement path of harvesting operation; controlling the crop harvesting device to perform harvesting operations on the crops in the target area according to the harvesting strategy.

There is also provided, in accordance with another aspect of an embodiment of the present application, a plant protection system, including: the measuring equipment is used for acquiring pesticide application information of the crops in the target area from the historical record, and the pesticide application information comprises at least one of the following: pesticide type, total pesticide spraying amount and pesticide spraying frequency; determining at least one first evaluation index of agricultural products corresponding to the crops according to the pesticide application information, wherein the at least one first evaluation index is used for expressing the quality degree of the agricultural products; determining grade information to which the agricultural product belongs based on at least one first evaluation index; and the unmanned aerial vehicle is used for spraying the pesticide to the target area according to the grade information.

According to another aspect of the embodiments of the present application, there is also provided an agricultural product determination apparatus, including: the acquisition module is used for acquiring pesticide application information of the crops in the target area from the historical record, and the pesticide application information comprises at least one of the following information: pesticide type, total pesticide spraying amount and pesticide spraying frequency; the determining module is used for determining at least one first evaluation index of the agricultural product corresponding to the crop according to the pesticide application information, wherein the at least one first evaluation index is used for representing the quality degree of the agricultural product; and determining grade information to which the agricultural product belongs based on at least one first evaluation index.

According to another aspect of the embodiments of the present application, there is also provided a storage medium including a stored program, wherein when the program is executed, a device in which the storage medium is located is controlled to execute the above method for determining the grade of agricultural product.

According to another aspect of the embodiments of the present application, there is also provided a processor for executing a program, wherein the program executes the method for determining the grade of agricultural product.

The application acquires the pesticide application information of the crops in the target area from the historical records, wherein the pesticide application information comprises at least one of the following information: pesticide type, total pesticide spraying amount and pesticide spraying frequency; determining at least one first evaluation index of agricultural products corresponding to the crops according to the pesticide application information, wherein the at least one first evaluation index is used for expressing the quality degree of the agricultural products; and determining grade information to which the agricultural product belongs based on at least one first evaluation index. The evaluation index is determined according to actual historical pesticide application information, the grade information of the agricultural product is determined through the evaluation index, and the accuracy of grade determination of the agricultural product is improved based on actual data. And the technical problems that the farmers determine the grade of agricultural products according to the pesticide spraying amount and subjective experience, actual data support is lacked, and the accuracy is low are solved.

Drawings

The accompanying drawings, which are included to provide a further understanding of the application and are incorporated in and constitute a part of this application, illustrate embodiment(s) of the application and together with the description serve to explain the application and not to limit the application. In the drawings:

FIG. 1 is a schematic flow chart diagram of a method for determining a grade of an agricultural product according to an embodiment of the present application;

FIG. 2 is a schematic flow diagram of a method of harvesting an agricultural product according to an embodiment of the present application;

FIG. 3 is a schematic flow diagram of another method of harvesting agricultural products according to an embodiment of the present application;

FIG. 4 is a schematic flow diagram of another method of harvesting agricultural products according to an embodiment of the present application;

FIG. 5 is a schematic flow diagram of another method of harvesting agricultural products according to an embodiment of the present application;

FIG. 6 is a schematic diagram of a plant protection system according to an embodiment of the present application;

fig. 7 is a schematic structural diagram of an agricultural product grade determination device according to an embodiment of the present application.

Detailed Description

In order to make the technical solutions better understood by those skilled in the art, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only partial embodiments of the present application, but not all embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.

It should be noted that the terms "first," "second," and the like in the description and claims of this application and in the drawings described above are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used is interchangeable under appropriate circumstances such that the embodiments of the application described herein are capable of operation in sequences other than those illustrated or described herein. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed, but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.

Fig. 1 is a flowchart illustrating a method for determining drug delivery information according to an embodiment of the present application. As shown in fig. 1, this embodiment includes at least the following implementation steps S102-S106;

step S102: obtaining pesticide application information of the crops in the target area from the historical record, wherein the pesticide application information comprises at least one of the following information: pesticide type, total pesticide spraying amount and pesticide spraying frequency;

in some optional embodiments of the present application, the history record may be historical data stored by a professional through multiple tests, or may be drug administration information uploaded by a plant protection worker or a farmer within a preset time period, wherein the data related to the history record is stored in a memory of a server for controlling the operation of the drone, or a memory of the drone.

The first evaluation index can be information of color, size, shape and the like of agricultural products corresponding to crops.

The historical record can contain the corresponding relation between different drug application information and the first evaluation index; for example: for tomato farmlands, tomatoes which correspond to different pesticide types, and/or pesticide spraying total amount, and/or pesticide spraying times are different in color, shape and/or size; the size of the tomatoes corresponding to the reasonable pesticide type is larger than that of the tomatoes corresponding to the wrong pesticide type.

Step S104, determining at least one first evaluation index of the agricultural product corresponding to the crop according to the pesticide application information, wherein the at least one first evaluation index is used for expressing the quality degree of the agricultural product;

step S106: and determining grade information to which the agricultural product belongs based on at least one first evaluation index.

Determining grade information to which the agricultural product belongs based on at least one first evaluation index, wherein the grade information to which the agricultural product belongs can be determined by combining the type of the agricultural product, such as: when the agricultural product is watermelon, if the color of the watermelon peel is distributed uniformly, the watermelon grade can be defined as A, etc., if the color of the watermelon is not distributed uniformly, for example: if there is a large white block, the watermelon grade can be set as B.

In some optional embodiments of the present application, determining at least one first evaluation index of the agricultural product corresponding to the crop according to the pesticide application information may further be performed by: the method comprises the following steps of inputting medicine application information into a first preset model for analysis, and obtaining at least one first evaluation index corresponding to the medicine application information, wherein the first preset model is obtained through training of multiple groups of data, and each group of data in the multiple groups of data comprises: the sample application information and a first evaluation index corresponding to the sample application information.

Optionally, the sample pesticide application information may be obtained from a history, and specifically, the first preset model may be established based on the type of the crop; for example: when the crop type is corn, one of the data sets of the first predetermined model is: the total amount of sprayed medicine is 200g, when the spraying times is 2, the corresponding first evaluation index is that the length of the corn is 20cm, the diameter of the root of the corn cob is 5cm, and the diameter of the middle of the corn cob is 4 cm.

Before the step executed in the above embodiment determines the grade information to which the agricultural product belongs based on at least one first evaluation index, the method may further include the following step:

step S1042, acquiring first weather information of a target area in a preset time period from a historical record;

step S1044: determining a second evaluation index of the agricultural product based on the first weather information;

determining the grade information to which the agricultural product belongs based on at least one first evaluation index can be realized by the following steps: carrying out weighted average on the first evaluation index and the second evaluation index to obtain a target evaluation index; and determining grade information of the agricultural products according to the target evaluation index.

In an alternative embodiment, the first weather information of the target area within the preset time period is obtained from the history record, for example: acquiring first weather information of a target area from a current time period to one month ago from a historical record; the target area may be the current farmland. The first day gas information can affect the residual quantity of the pesticide and the absorption of the weeds and pests on the pesticide, so that a second evaluation index is affected, and the second evaluation index can be information of color, size, shape and the like of agricultural products corresponding to crops.

The first evaluation index is an evaluation index corresponding to the drug application information, and the second evaluation index is an evaluation index corresponding to the first day air information of the target area in the preset time period.

Determining the grade information to which the agricultural product belongs based on at least one first evaluation index may be: carrying out weighted average on the first evaluation index and the second evaluation index to obtain a target evaluation index; and determining grade information of the agricultural products according to the target evaluation index.

In an alternative embodiment, for the size of the corn cobs, when the first evaluation index indicates that the length of the corn is 20cm, the diameter of the root of the corn cob is 5cm, and the diameter of the middle of the corn cob is 4 cm; and when the second evaluation index indicates that the length of the corn is 18cm, the root diameter of the corn cob is 3cm and the middle diameter of the corn cob is 4cm, the weighted average of the first evaluation index and the second evaluation index obtains the following target evaluation indexes: the length of the corn is (20cm +18 cm)/2-19 cm, the diameter of the root of the corn cob is (5cm +3 cm)/2-4 cm, and the diameter of the middle of the corn cob is (4cm +4 cm)/2-4 cm; the grade information of the agricultural product determined from the target evaluation index may be a grade determined for an agricultural product having a corn length of 19cm and a corn cob root diameter of 4cm and a corn cob median diameter of 4 cm.

Alternatively, when the grade information is determined according to each evaluation index, the grade classification method may be determined based on different agricultural products, for example: the watermelon can be classified into different grades according to the size of the watermelon; for example: if the watermelon of a certain variety is round, the grade of the watermelon can be graded into A and the like when the diameter of the watermelon is more than 15cm, the grade of the watermelon can be graded into B and the like when the diameter of the watermelon is 10cm-15cm, and the grade of the watermelon can be graded into C and the like when the diameter of the watermelon is less than 10 cm. The farmers can set the selling unit price of the corresponding crops according to the grade information.

After the step performed in the above embodiment determines the grade information to which the agricultural product belongs based on at least the at least one first evaluation index, the method may further include the following steps:

step S1062: judging whether the grade corresponding to the grade information of the crops reaches a target grade or not;

step S1064: and if the grade corresponding to the grade information of the crops does not reach the target grade, performing supplementary pesticide spraying on the crops according to the target pesticide application information corresponding to the target grade in the historical data.

In an alternative embodiment, the target level may be a level a, or a level B; and if the grade corresponding to the grade information of the crops does not reach the grade A, inquiring target pesticide application information corresponding to the grade A from historical data, and if the pesticide application amount of a certain type of pesticide corresponding to the grade A is 300g and the pesticide application amount corresponding to the pesticide type before the current date is 200g, performing supplementary pesticide application. In another embodiment, the target application information may also be target application information corresponding to class B.

In some optional embodiments of the present application, the above method further comprises the steps of:

step S1066: acquiring second weather information when the crops are sprayed with the pesticide;

step S1068: and determining the pesticide residue of the agricultural product according to the second weather information and the pesticide application information, and determining a third evaluation index of the agricultural product according to the pesticide residue.

In an optional embodiment, the second weather information is weather information corresponding to a specific pesticide application date, for example: the date of the last application is No. 4 month 10, and the second weather information is weather information on the day of No. 4 month 10.

The third evaluation index can also be information of color, size, shape and the like of agricultural products corresponding to crops.

The third evaluation index is an evaluation index corresponding to the second weather information corresponding to the administration date. The weather information of the day of the application date also influences the pesticide absorption condition of weeds and pests and the pesticide residue, so that the third evaluation index of crops is influenced.

In some optional embodiments of the present application, determining the third evaluation index of the agricultural product according to the pesticide residue amount may be performed by:

inputting the pesticide residue into a second preset model for analysis to obtain a third evaluation index corresponding to the pesticide residue, wherein the second preset model is obtained by training a plurality of groups of data, and each group of data in the plurality of groups of data comprises: and the sample pesticide residue and a third evaluation index corresponding to the sample pesticide residue.

Before the step in the above embodiment of determining the grade information to which the agricultural product belongs based on at least one first evaluation index, the method may further include the step of: the grade information is determined based on at least two of the first evaluation index, the second evaluation index, and the third evaluation index.

After determining the rating information to which the agricultural product belongs based at least on the at least one first evaluation indicator, the method further comprises at least one of: determining unit price information of the agricultural product corresponding to the purchase grade information; determining virtual resources required for purchasing the agricultural products with the target quantity according to the unit price information and the target quantity; when the target areas are multiple and the target areas are located in different sales areas, determining the target sales area of the agricultural product according to the grade information of the agricultural product in the target areas, wherein the sales area where the agricultural product is located and the grade of the agricultural product in the target sales area are different.

In an optional embodiment, the virtual resource determines a total price required for purchasing the target quantity of agricultural products according to the unit price information and the target quantity; and when the target areas are multiple and the multiple target areas are positioned in different sales areas, determining the target sales areas of the agricultural products according to the grade information of the agricultural products in the multiple target areas. For example: agricultural products in a target area with a higher agricultural product grade can be sold to a target area with a lower agricultural product grade.

Fig. 2 is a schematic flow diagram of a method of harvesting an agricultural product according to an embodiment of the present application. As shown in fig. 2, this embodiment includes at least the following implementation steps S202-S204;

step S202, receiving grade information of agricultural products corresponding to the crops in the sub-area of the target area;

wherein the ranking information is determined by: obtaining pesticide application information of the crops in the sub-area from the historical record, wherein the pesticide application information comprises at least one of the following: pesticide type, total pesticide spraying amount and pesticide spraying frequency; determining at least one first evaluation index of the agricultural product corresponding to the crop according to the pesticide application information, wherein the at least one first evaluation index is used for representing the quality degree of the agricultural product; and determining grade information to which the agricultural product belongs based on at least the at least one first evaluation index;

wherein, the sub-area can be one or more; in some optional embodiments of the present application, the history record may be historical data stored by a professional through multiple tests, or may be drug administration information uploaded by a plant protection worker or a farmer within a preset time period, wherein the data related to the history record is stored in a memory of a server for controlling the operation of the drone, or a memory of the drone.

In an alternative embodiment, each sub-area is provided with different application information due to the difference of weed type, and/or pest type, and/or weed density; the position information of each subarea can be longitude and latitude information and is obtained by GPS positioning; the spraying information and the position information of each subarea can be determined according to the historical spraying path; for example: in the historical spraying paths, if the spraying paths of a certain subarea are overlapped for multiple times, the overlapping times of the spraying paths can be determined as the spraying times; if the spraying paths of a certain subarea are overlapped for multiple times and the moving speed of the spraying equipment is not changed with the flow rate of the medicine, the number of times of the spraying paths of the subarea is N, and the total spraying amount of the subarea is determined to be N times of the spraying amount when the paths are not repeated.

step S2042, acquiring first weather information of a subregion in a preset time period from the historical record;

step S2044: determining a second evaluation index of the agricultural product based on the first weather information;

In an alternative embodiment, the first weather information of the sub-area within the preset time period is obtained from the history record, for example: acquiring first weather information of a subregion from the current time period to one month before from the historical record; the sub-region may be the current farmland. The first day gas information can affect the residual quantity of the pesticide and the absorption of the weeds and pests on the pesticide, so that a second evaluation index is affected, and the second evaluation index can be information of color, size, shape and the like of agricultural products corresponding to crops.

The first evaluation index is an evaluation index corresponding to the drug delivery information, and the second evaluation index is an evaluation index corresponding to the first day information in a sub-area within a preset time period.

step S2062: judging whether the grade corresponding to the grade information of the crops reaches a target grade or not;

step S2064: and if the grade corresponding to the grade information of the crops does not reach the target grade, performing supplementary pesticide spraying on the crops according to the target pesticide application information corresponding to the target grade in the historical data.

step S2066: acquiring second weather information when the crops are sprayed with the pesticide;

step S2068: and determining the pesticide residue of the agricultural product according to the second weather information and the pesticide application information, and determining a third evaluation index of the agricultural product according to the pesticide residue.

And S204, controlling crop harvesting equipment to harvest the crops according to the grade information.

In some optional embodiments of the present application, the level information of the sub-area determined by the above method may be stored in a memory of a server controlling the crop harvesting device, and may also be stored in a memory of the crop harvesting device, and when the crop harvesting device is controlled to harvest the crop according to the level information, the following may be performed: preferentially harvesting crops corresponding to the sub-area with the crop grade higher than the preset grade; and harvesting crops in the sub-area corresponding to the grade according to the grade requirement of the user on the crops needing to be harvested.

In some optional embodiments of the present application, when the crop harvesting device is controlled to harvest crops according to the grade information, position information of agricultural products corresponding to different grades needs to be determined; the position information of the agricultural products corresponding to different grades is determined based on the sub-areas where the agricultural products of all grades are located, and the positions of the sub-areas can be obtained through a GPS positioning technology. For example: when the pesticide spraying equipment sprays pesticide, the position information of the subareas and the pesticide spraying information are determined by positioning the pesticide spraying equipment and a pesticide spraying path.

In some optional embodiments of the present application, before controlling the crop harvesting device to harvest the crop according to the grade information, position information of the grade of the crop to be harvested is required to be sent to the crop harvesting device.

The method comprises the steps of receiving grade information of crops; the rank information is determined by: obtaining pesticide application information of crops corresponding to the sub-areas in the target area from the historical records, wherein the pesticide application information comprises at least one of the following: pesticide type, total pesticide spraying amount and pesticide spraying frequency; determining at least one first evaluation index of agricultural products corresponding to the crops according to the pesticide application information, wherein the at least one first evaluation index is used for expressing the quality degree of the agricultural products; determining grade information to which the agricultural product belongs based on at least one first evaluation index; and controlling crop harvesting equipment to harvest the crops according to the grade information. The method and the device have the advantages that the evaluation indexes are determined according to actual historical pesticide application information, the grade information of the agricultural products is determined through the evaluation indexes, the accuracy of grade determination of the agricultural products is improved based on actual data, the crop harvesting equipment is controlled to harvest the crops according to the grade information of the crops corresponding to the sub-areas in the target area, the individual requirements of users are met, and the user experience is improved.

Fig. 3 is a schematic flow diagram of a method of harvesting an agricultural product according to an embodiment of the present application. As shown in fig. 3, this embodiment includes at least the following implementation steps S302-S310;

step S302, obtaining pesticide application information of crops in a sub-area in a target area from a historical record, wherein the pesticide application information comprises at least one of the following: pesticide type, total pesticide spraying amount and pesticide spraying frequency;

step S304, determining at least one first evaluation index of the agricultural product corresponding to the crop according to the pesticide application information, wherein the at least one first evaluation index is used for representing the quality degree of the agricultural product;

step S306, determining the grade of the agricultural product at least based on the at least one first evaluation index;

s3042, acquiring first weather information of a sub-area in a preset time period from the historical record;

step S3044: determining a second evaluation index of the agricultural product based on the first weather information;

step S3062: judging whether the grade corresponding to the grade information of the crops reaches a target grade or not;

step S3064: and if the grade corresponding to the grade information of the crops does not reach the target grade, performing supplementary pesticide spraying on the crops according to the target pesticide application information corresponding to the target grade in the historical data.

step S3066: acquiring second weather information when the crops are sprayed with the pesticide;

step S3068: and determining the pesticide residue of the agricultural product according to the second weather information and the pesticide application information, and determining a third evaluation index of the agricultural product according to the pesticide residue.

In some optional embodiments of the present application, the grade information of the agricultural product in the sub-area may be stored in a memory of a server controlling the crop harvesting device, and may also be stored in a memory of the crop harvesting device, and when the crop harvesting device is controlled to harvest the crop according to the grade information, the following may be performed: preferentially harvesting crops corresponding to the sub-area with the crop grade higher than the preset grade; and harvesting crops in the sub-area corresponding to the grade according to the grade requirement of the user on the crops needing to be harvested.

Step S308, determining the position information of agricultural products belonging to different grades;

step S310, the position information is sent to crop harvesting equipment.

The application acquires the pesticide application information of crops in a sub-area of a target area from a historical record, wherein the pesticide application information comprises at least one of the following: pesticide type, total pesticide spraying amount and pesticide spraying frequency; determining at least one first evaluation index of the agricultural product corresponding to the crop according to the pesticide application information, wherein the at least one first evaluation index is used for representing the quality degree of the agricultural product; determining grade information to which the agricultural product belongs based on at least the at least one first evaluation index; determining the position information of agricultural products belonging to different grades; sending the location information to a crop harvesting device. The method and the device have the advantages that the evaluation indexes are determined according to actual historical pesticide application information, the grade information of the agricultural products is determined through the evaluation indexes, the accuracy of grade determination of the agricultural products is improved based on actual data, the crop harvesting equipment is controlled to harvest the crops according to the grade information and the position information of the crops corresponding to the sub-areas in the target area, the individual requirements of users are met, and the user experience is improved.

Fig. 4 is a schematic flow diagram of a method of harvesting an agricultural product according to an embodiment of the present application. As shown in fig. 4, this embodiment includes at least the following implementation steps S402-S408;

step S402, acquiring at least one first evaluation index of an agricultural product corresponding to a crop in a sub-area of a target area, wherein the at least one first evaluation index is used for expressing the quality degree of the agricultural product;

in an alternative embodiment of the present application, the at least one first evaluation index of the agricultural product corresponding to the crop in the sub-area of the target area may be determined by: obtaining pesticide application information of crops of a sub-area in a target area from a historical record, wherein the pesticide application information comprises at least one of the following: pesticide type, total pesticide spraying amount and pesticide spraying frequency; and determining at least one first evaluation index of the agricultural product corresponding to the crop according to the pesticide application information.

Step S404, determining grade information of the agricultural product at least based on the at least one first evaluation index;

s4042, acquiring first weather information of a sub-area in a preset time period from the historical record;

step S4044: determining a second evaluation index of the agricultural product based on the first weather information;

step S4062: judging whether the grade corresponding to the grade information of the crops reaches a target grade or not;

step S4064: and if the grade corresponding to the grade information of the crops does not reach the target grade, performing supplementary pesticide spraying on the crops according to the target pesticide application information corresponding to the target grade in the historical data.

step S4066: acquiring second weather information when the crops are sprayed with the pesticide;

step S4068: and determining the pesticide residue of the agricultural product according to the second weather information and the pesticide application information, and determining a third evaluation index of the agricultural product according to the pesticide residue.

Step S406, determining the position information of agricultural products belonging to different grades;

step S408, the position information is sent to crop harvesting equipment.

The method comprises the steps of obtaining at least one first evaluation index of an agricultural product corresponding to a crop in a sub-area of a target area, wherein the at least one first evaluation index is used for expressing the quality degree of the agricultural product; determining grade information to which the agricultural product belongs based on at least the at least one first evaluation index; determining the position information of agricultural products belonging to different grades; sending the location information to a crop harvesting device. . The method and the device have the advantages that the evaluation indexes are determined according to actual historical pesticide application information, the grade information of the agricultural products is determined through the evaluation indexes, the accuracy of grade determination of the agricultural products is improved based on actual data, the crop harvesting equipment is controlled to harvest the crops according to the grade information of the crops corresponding to the sub-areas in the target area, the individual requirements of users are met, and the user experience is improved.

Fig. 5 is a schematic flow diagram of a method of harvesting an agricultural product according to an embodiment of the present application. As shown in fig. 5, this embodiment includes at least the following implementation steps S502-S506;

step S502, receiving the grade of an agricultural product corresponding to the crop in the sub-area of the target area and the position information of the agricultural product in the same grade;

the rank information is determined by: obtaining pesticide application information of the crops in the sub-area from the historical record, wherein the pesticide application information comprises at least one of the following: pesticide type, total pesticide spraying amount and pesticide spraying frequency; determining at least one first evaluation index of the agricultural product corresponding to the crop according to the pesticide application information, wherein the at least one first evaluation index is used for representing the quality degree of the agricultural product; and determining grade information to which the agricultural product belongs based on at least the at least one first evaluation index;

step S5042, acquiring first weather information of a sub-area in a preset time period from the historical record;

step S5044: determining a second evaluation index of the agricultural product based on the first weather information;

step S5062: judging whether the grade corresponding to the grade information of the crops reaches a target grade or not;

step S5064: and if the grade corresponding to the grade information of the crops does not reach the target grade, performing supplementary pesticide spraying on the crops according to the target pesticide application information corresponding to the target grade in the historical data.

step S5066: acquiring second weather information when the crops are sprayed with the pesticide;

step S5068: and determining the pesticide residue of the agricultural product according to the second weather information and the pesticide application information, and determining a third evaluation index of the agricultural product according to the pesticide residue.

In some optional embodiments of the present application, before controlling the crop harvesting device to harvest the crop according to the grade information, position information of the grade of the crop to be harvested is further required to be sent to the crop harvesting device or a server for controlling the crop harvesting device.

Step S504, generating a harvesting strategy according to the grade and the position information, wherein the harvesting strategy at least comprises the following steps: a movement path of harvesting operation;

in an alternative embodiment, generating a movement path for the harvesting strategy harvesting operation in dependence of the ranking and the position information may be carried out by: and sending the position information of the sub-area corresponding to the grade of agricultural product to be harvested to the server, and generating a moving route of the crop harvesting equipment by the server based on the position information of the corresponding sub-area.

And S506, controlling crop harvesting equipment to perform harvesting operation on the crops in the subarea according to the harvesting strategy.

The method comprises the steps of receiving grades of agricultural products corresponding to crops in sub-areas in a target area and position information of the agricultural products of the same grade; generating a harvesting strategy according to the grade and the position information, wherein the harvesting strategy at least comprises the following steps: a movement path of harvesting operation; controlling the crop harvesting equipment to perform harvesting operation on the crop in the sub-area according to the harvesting strategy. The crop harvesting equipment has the advantages that the position information of the position where the crop corresponding to the grade of the required agricultural product to be harvested is received, the moving route of the crop harvesting equipment is controlled, the accuracy of the position where the crop corresponding to the agricultural product of the required grade is judged manually through subjectivity is improved, and user experience is improved.

An embodiment of the present application further provides a plant protection system, and fig. 6 is a schematic structural diagram of a plant protection system according to an embodiment of the present application. The system comprises: measurement equipment 62, unmanned aerial vehicle 64; wherein:

a measuring device 62 for obtaining pesticide application information for the crops in the target area from the history, the pesticide application information including at least one of: pesticide type, total pesticide spraying amount and pesticide spraying frequency; determining at least one first evaluation index of agricultural products corresponding to the crops according to the pesticide application information, wherein the at least one first evaluation index is used for expressing the quality degree of the agricultural products; determining grade information to which the agricultural product belongs based on at least one first evaluation index;

and the unmanned aerial vehicle 64 is used for spraying the target area according to the grade information.

It should be noted that, reference may be made to the description related to the embodiment shown in fig. 1 for a preferred implementation of the embodiment shown in fig. 6, and details are not described here again.

An embodiment of the present application further provides a device for determining a grade of an agricultural product, and fig. 7 is a schematic structural diagram of the device for determining a grade of an agricultural product according to the embodiment of the present application.

As shown in fig. 7, the apparatus includes: an acquisition module 72, a determination module 74; wherein:

an obtaining module 72, configured to obtain pesticide application information on the crops in the target area from the history, where the pesticide application information includes at least one of: pesticide type, total pesticide spraying amount and pesticide spraying frequency;

the determining module 74 is configured to determine at least one first evaluation index of the agricultural product corresponding to the crop according to the pesticide application information, where the at least one first evaluation index is used to indicate a quality degree of the agricultural product; and determining grade information to which the agricultural product belongs based on at least one first evaluation index.

In some optional embodiments of the present application, the history record may be historical data stored by a professional through multiple tests, or may be drug delivery information uploaded by a plant protection worker or a farmer within a preset time period.

Determining the grade information to which the agricultural product belongs based on at least one first evaluation index, and in an optional embodiment, determining the grade information to which the agricultural product belongs may be performed in combination with the type of the agricultural product, for example: when the agricultural product is watermelon, if the color of the watermelon peel is distributed more uniformly, the grade of the watermelon can be defined as A, etc., if the color of the watermelon is not uniform, for example: if there is a large white block, the watermelon grade can be set as B.

It should be noted that, reference may be made to the description related to the embodiment shown in fig. 1 for a preferred implementation of the embodiment shown in fig. 7, and details are not repeated here.

According to another aspect of the embodiments of the present application, there is also provided a storage medium, wherein the storage medium includes a stored program, and wherein when the program is executed, the apparatus on which the storage medium is located is controlled to execute the above method for determining the grade of agricultural product.

According to another aspect of the embodiments of the present application, there is also provided a processor, wherein the processor is configured to execute a program, and wherein the program executes the method for determining the grade of agricultural product.

The above-mentioned serial numbers of the embodiments of the present application are merely for description and do not represent the merits of the embodiments.

In the above embodiments of the present application, the descriptions of the respective embodiments have respective emphasis, and for parts that are not described in detail in a certain embodiment, reference may be made to related descriptions of other embodiments.

In the embodiments provided in the present application, it should be understood that the disclosed technology can be implemented in other ways. The above-described embodiments of the apparatus are merely illustrative, and for example, a division of a unit may be a division of a logic function, and an actual implementation may have another division, for example, a plurality of units or components may be combined or may be integrated into another system, or some features may be omitted, or may not be executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, units or modules, and may be in an electrical or other form.

The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.

In addition, functional units in the embodiments of the present application may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit.

The integrated unit, if implemented in the form of a software functional unit and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present application may be substantially implemented or contributed to by the prior art, or all or part of the technical solution may be embodied in a software product, which is stored in a storage medium and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method of the embodiments of the present application. And the aforementioned storage medium includes: a U-disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a removable hard disk, a magnetic or optical disk, and other various media capable of storing program codes.

The foregoing is only a preferred embodiment of the present application and it should be noted that those skilled in the art can make several improvements and modifications without departing from the principle of the present application, and these improvements and modifications should also be considered as the protection scope of the present application.

Claims

1. A method for determining a grade of an agricultural product, the method comprising:

obtaining pesticide application information of the crops in the target area from the historical record, wherein the pesticide application information comprises at least one of the following information: pesticide type, total pesticide spraying amount and pesticide spraying frequency;

determining at least one first evaluation index of the agricultural product corresponding to the crop according to the pesticide application information, wherein the at least one first evaluation index is used for representing the quality degree of the agricultural product; and

determining grade information to which the agricultural product belongs based on at least the at least one first evaluation index;

wherein, determining at least one first evaluation index of the agricultural product corresponding to the crop according to the pesticide application information comprises the following steps: inputting the drug application information into a first preset model for analysis, and obtaining at least one first evaluation index corresponding to the drug application information, wherein the first preset model is obtained through training of multiple groups of data, and each group of data in the multiple groups of data comprises: the system comprises sample application information and a first evaluation index corresponding to the sample application information.

2. The method of claim 1,

before determining the grade information to which the agricultural product belongs based on at least the at least one first evaluation index, the method further comprises: acquiring first weather information of the target area within a preset time period from the historical record; determining a second evaluation index of the agricultural product based on the first weather information;

determining grade information to which the agricultural product belongs based on at least the at least one first evaluation index, including: carrying out weighted average on the first evaluation index and the second evaluation index to obtain a target evaluation index; and determining grade information of the agricultural product according to the target evaluation index.

3. The method of claim 1, wherein after determining the rating information to which the agricultural product belongs based at least on the at least one first evaluation indicator, the method further comprises:

judging whether the grade corresponding to the grade information of the crops reaches a target grade or not;

and if the grade corresponding to the grade information of the crops does not reach the target grade, performing supplementary pesticide spraying on the crops according to the target pesticide application information corresponding to the target grade in the historical data.

4. The method of claim 3, further comprising: acquiring second weather information when the crops are sprayed, determining pesticide residues of the agricultural products according to the second weather information and the pesticide application information, and determining a third evaluation index of the agricultural products according to the pesticide residues.

5. The method of claim 4, wherein determining a third evaluation index of the agricultural product based on the pesticide-residue amount comprises:

inputting the pesticide residue into a second preset model for analysis to obtain a third evaluation index corresponding to the pesticide residue, wherein the second preset model is obtained through training of multiple groups of data, and each group of data in the multiple groups of data comprises: the pesticide residue amount of the sample and a third evaluation index corresponding to the pesticide residue amount of the sample.

6. The method of claim 5, wherein prior to determining the rating information to which the agricultural product belongs based at least on the at least one first evaluation indicator, the method further comprises: determining the grade information based on at least two of the first, second, and third evaluation indices.

7. The method of claim 5, wherein after determining the rating information to which the agricultural product belongs based at least on the at least one first evaluation indicator, the method further comprises at least one of:

determining unit price information of the agricultural product corresponding to the purchase grade information; determining virtual resources required for purchasing the agricultural products with the target quantity according to the unit price information and the target quantity;

when the target areas are multiple and the target areas are located in different sales areas, determining the target sales area of the agricultural product according to the grade information of the agricultural product in the target areas, wherein the sales area where the agricultural product is located and the grade of the agricultural product in the target sales area are different.

8. A method of harvesting an agricultural product, the method comprising:

receiving grade information of agricultural products corresponding to crops in a sub-area of a target area, wherein the grade information is determined in the following way: obtaining pesticide application information of the crop in the sub-area from a historical record, wherein the pesticide application information comprises at least one of the following: pesticide type, total pesticide spraying amount and pesticide spraying frequency; determining at least one first evaluation index of the agricultural product corresponding to the crop according to the pesticide application information, wherein the at least one first evaluation index is used for representing the quality degree of the agricultural product; and determining grade information to which the agricultural product belongs based on at least the at least one first evaluation index;

controlling crop harvesting equipment to harvest crops according to the grade information; wherein, determining at least one first evaluation index of the agricultural product corresponding to the crop according to the pesticide application information comprises the following steps: inputting the drug application information into a first preset model for analysis, and obtaining at least one first evaluation index corresponding to the drug application information, wherein the first preset model is obtained through training of multiple groups of data, and each group of data in the multiple groups of data comprises: the system comprises sample application information and a first evaluation index corresponding to the sample application information.

9. A method of harvesting agricultural products, the method comprising:

obtaining pesticide application information of crops of a sub-area in a target area from a historical record, wherein the pesticide application information comprises at least one of the following: pesticide type, total pesticide spraying amount and pesticide spraying frequency;

determining at least one first evaluation index of the agricultural product corresponding to the crop according to the pesticide application information, wherein the at least one first evaluation index is used for representing the quality degree of the agricultural product;

determining the position information of agricultural products belonging to different grades;

sending the location information to a crop harvesting device;

10. A method of harvesting an agricultural product, the method comprising:

acquiring at least one first evaluation index of agricultural products corresponding to crops in a sub-area of a target area, wherein the at least one first evaluation index is used for expressing the quality degree of the agricultural products;

sending the location information to a crop harvesting device; wherein the at least one first evaluation index is determined by: obtaining pesticide application information of crops of a sub-area in a target area from a historical record, wherein the pesticide application information comprises at least one of the following: pesticide type, total pesticide spraying amount and pesticide spraying frequency; inputting the drug application information into a first preset model for analysis, and obtaining at least one first evaluation index corresponding to the drug application information, wherein the first preset model is obtained through training of multiple groups of data, and each group of data in the multiple groups of data comprises: the system comprises sample application information and a first evaluation index corresponding to the sample application information.

11. A method of harvesting an agricultural product, the method comprising:

receiving the grade of an agricultural product corresponding to the crop in a sub-area of a target area and position information of the agricultural product with the same grade;

generating a harvesting strategy according to the grade and the position information, wherein the harvesting strategy at least comprises the following steps: a movement path of harvesting operation;

controlling crop harvesting equipment to perform harvesting operation on the crops in the subareas according to the harvesting strategy; wherein, according to the pesticide application information, determining at least one first evaluation index of the agricultural product corresponding to the crop comprises the following steps: obtaining pesticide application information of crops of a sub-area in a target area from a historical record, wherein the pesticide application information comprises at least one of the following: pesticide type, total pesticide spraying amount and pesticide spraying frequency; inputting the drug application information into a first preset model for analysis, and obtaining at least one first evaluation index corresponding to the drug application information, wherein the first preset model is obtained through training of multiple groups of data, and each group of data in the multiple groups of data comprises: the system comprises sample application information and a first evaluation index corresponding to the sample application information.

12. A plant protection system, comprising:

the measuring device is used for acquiring pesticide application information of the crops in the target area from the historical record, and the pesticide application information comprises at least one of the following: pesticide type, total pesticide spraying amount and pesticide spraying frequency; determining at least one first evaluation index of the agricultural product corresponding to the crop according to the pesticide application information, wherein the at least one first evaluation index is used for representing the quality degree of the agricultural product; and determining grade information to which the agricultural product belongs based on at least the at least one first evaluation index;

the unmanned aerial vehicle is used for spraying the pesticide to the target area according to the grade information; wherein, determining at least one first evaluation index of the agricultural product corresponding to the crop according to the pesticide application information comprises the following steps: inputting the drug application information into a first preset model for analysis, and obtaining at least one first evaluation index corresponding to the drug application information, wherein the first preset model is obtained through training of multiple groups of data, and each group of data in the multiple groups of data comprises: the system comprises sample application information and a first evaluation index corresponding to the sample application information.

13. An apparatus for determining a grade of an agricultural product, the apparatus comprising:

the acquisition module is used for acquiring pesticide application information of crops in the target area from the historical record, and the pesticide application information comprises at least one of the following information: pesticide type, total pesticide spraying amount and pesticide spraying frequency;

the determining module is used for determining at least one first evaluation index of the agricultural product corresponding to the crop according to the pesticide application information, wherein the at least one first evaluation index is used for representing the quality degree of the agricultural product; and determining grade information to which the agricultural product belongs based on at least the at least one first evaluation index; wherein, determining at least one first evaluation index of the agricultural product corresponding to the crop according to the pesticide application information comprises the following steps: inputting the drug application information into a first preset model for analysis, and obtaining at least one first evaluation index corresponding to the drug application information, wherein the first preset model is obtained through training of multiple groups of data, and each group of data in the multiple groups of data comprises: the system comprises sample application information and a first evaluation index corresponding to the sample application information.

14. A storage medium, characterized in that the storage medium comprises a stored program, wherein when the program is run, a device in which the storage medium is located is controlled to execute the agricultural product grade determination method according to any one of claims 1 to 7.

15. A processor, characterized in that the processor is configured to run a program, wherein the program when running performs the method of agricultural product grade determination of any one of claims 1 to 7.