CN109766380B - Agricultural planting pesticide formulation method and system based on Internet and artificial intelligence - Google Patents
Agricultural planting pesticide formulation method and system based on Internet and artificial intelligence Download PDFInfo
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Abstract
The invention discloses an agricultural planting pesticide formulation method and system based on the Internet and artificial intelligence, and belongs to the technical field of intelligent agricultural information communication. The method adopts the Internet and the artificial intelligence technology to effectively fuse big data of pesticide application with actual farmland and farmland managers, and then automatically pushes pesticide application data to the farmland managers in a classified and graded manner to guide the farmland managers to manage crops after acquiring the planting information of the farmland managers, and can also automatically take a response or manually make a response according to the inquiry requirements of the farmland managers, collect the repair data of the crops after the response in time, and continuously update the data to the corresponding database after the examination and verification, thereby providing more accurate guidance for subsequent services.
Description
Technical Field
The invention discloses an agricultural planting pesticide formulation method and system based on the Internet and artificial intelligence, and belongs to the technical field of intelligent agricultural information communication.
Background
Wisdom agriculture is the main trend of current agricultural development, and it has technological leading edge, degree of automation height, the high-efficient management of being convenient for advantage and is extensively promoted. With the introduction of internet, artificial intelligence and big data concepts, those skilled in the art begin to research new directions such as more intensive intelligent management, agricultural interaction, agricultural data sharing statistics, etc. For example, before 2015, the intelligent agriculture is limited to automatically collecting parameter data such as land environment and the like to achieve the effects of automatic spraying irrigation, automatic matching and mechanized farming and the like, however, in actual application, it is found that unified management is difficult to achieve in regional land or certain crop planting areas due to non-standardization of basic data collection, so that agricultural experts are difficult to provide accurate and effective planting and cultivation solutions for farmers through background data, and still rely on the agricultural experts to perform one-to-one tutoring planting and cultivation for the farmers in the field.
With the expansion of the application range of network communication, the standards between the Internet of things and the Internet are gradually standardized, and the integration degree of the two networks is also continuously improved, so that farmers or farmland managers engaged in first-line farming can use the communication network to feed back the information of planted crops to agricultural experts, and the agricultural experts remotely make planting counseling. The mode is difficult to meet the increasing agricultural service requirements, the situation that the supply of agricultural experts is not adequate is easy to occur, the questions of farmers are difficult to be solved in time, unnecessary management deviation is caused, the agricultural management efficiency is low, and the agricultural yield is difficult to be guaranteed.
The applicant focuses on agricultural modernization research all the time, and summarizes and discovers that the selection and implementation of pesticides always is a first-line crop trouble in agricultural activities by combining a plurality of examples. With the concern of society on pesticide residues in crops, pesticide residues also become one of the key factors limiting the marketing of agricultural products, and how to select pesticides and select proper pesticides becomes the main concern direction of first-line farming. Although the prior pesticide seller can provide corresponding product specifications for customers or remotely solve the problems to the customers through network customer service, different farming conditions are still difficult to satisfy, and how to provide effective and accurate information feedback for farmers by using big data and artificial intelligence becomes a main technical problem to be solved by the invention.
Disclosure of Invention
Aiming at the defects of the prior art, the invention discloses an agricultural planting pesticide formulation method and system based on the Internet and artificial intelligence.
The technical scheme of the invention is as follows:
an agricultural planting pesticide formulation method based on the Internet and artificial intelligence comprises the following steps:
1) establishing a pesticide database and a pesticide application historical database:
respectively establishing transverse pesticide application databases according to the types of crops and the growth cycles of the crops, and respectively establishing longitudinal pesticide application databases according to the types of the crops and the growth cycle nodes of the crops;
establishing a pesticide application historical database by taking a planting land block as a root directory, wherein the type and the dosage of pesticide application correspond to the type, the quantity and the cycle time point of crops of the planting land block, and the cycle time point is a time node for planting conventional crops or a time node when a specific crop actually suffers from diseases and damages;
the content of taking the planting plots as root directories comprises the following steps: geographical position information of the planting plots or label information of the planting plots; all information capable of uniquely identifying the land parcel is the protection scope of the invention;
2) and (2) carrying out network communication on the database in the step 1) and a demand end needing to acquire the pesticide application formula, after information matching, actively uploading or passively collecting the planting information according to the planting land, and respectively pushing the pesticide application formula in a matching manner or automatically pushing the pesticide application formula to provide the pesticide application formula to the demand end.
Preferably, the agricultural planting pesticide development method based on the Internet and the artificial intelligence further comprises the following steps: an online auditing step: and (3) rechecking the matching pushed pesticide application formulas in the step 2) by the auditing client through the Internet. When in application, the auditing client is a network client applied by agricultural experts.
According to the invention, the online auditing step further comprises the step of automatically pushing and correcting the operation scheme of the pesticide applying prescription to the demand side so as to adjust the dosage and the use method of the pesticide applying prescription, and finally the pesticide residue in the process of receiving the crops meets the corresponding industrial standard.
According to the invention, the operation scheme of automatically pushing and correcting the pesticide application formula is preferably to adjust the dosage and the use method of the pesticide application formula according to single pesticide application metering and combined with the conversion of pesticide residue or metabolic time.
According to the invention, the operation scheme for automatically pushing and correcting the pesticide application formula further comprises the step of integrating the corresponding plot and planting information in the pesticide application history database with the dosage and the use method of the pesticide application formula adjusted according to the multiple pesticide application metering and the conversion of the pesticide residue or the metabolic time.
According to the invention, in the online auditing step, the auditing client refers to the information of the pesticide application historical database, and performs correction and rechecking according to the actual conditions of the crops to adjust the dosage and the usage of pesticide application formulas, so that the pesticide residue of the crops in receiving can meet the corresponding industrial standard;
the actual conditions of the crops include: combining the pesticide residue or metabolism time and the standard of the pesticide residue when the crops are received.
According to the preferable selection of the invention, the agricultural planting pesticide formulation method based on the internet and artificial intelligence further comprises the step of establishing a feedback result database after pesticide application, and the feedback result database specifically comprises the following steps:
the demand end carries out pesticide application operation according to the pushed pesticide application formula, and then uploads the growth and development conditions of the crops to which the pesticide is applied in real time through the demand end until the disease and pest conditions disappear; the growth and development conditions of the crops include but are not limited to: the real-time growth picture of the crops and/or the literal description of the growth condition of the crops.
According to the invention, the real-time growth picture of the crop is selected correspondingly in the pesticide database; the pesticide database also comprises basic information of varieties of crops and nodes of crop growth cycles, and photos of crop recovery processes after certain types of pesticides are applied are correspondingly stored.
According to the invention, preferably, the literal description of the real-time growth condition of the crops is correspondingly selected in the pesticide database; the pesticide database also comprises a pull-down menu which takes the varieties of crops and the nodes of the growth cycle of the crops as basic information, correspondingly stores the corresponding word descriptions in the recovery process of the crops after pesticide application according to the corresponding word descriptions, and stores the word descriptions in a keyword form, so that the pull-down menu is formed for the on-line selection of the demand side.
According to the preferable selection of the invention, the agricultural planting pesticide prescription method based on the Internet and the artificial intelligence further comprises a prescription data updating method:
after the demand side adjusts the pesticide application formula, if the disease is successfully eliminated, the demand side automatically pushes the pesticide application formula to the auditing client side: crop planting data, disease data, recommended pesticide application formulas, adjusted pesticide application formulas and recovery effect information; the auditing client manually rechecks the data information from a professional perspective and experience: and if the rechecking is passed, the data information is automatically loaded into the pesticide database.
An agricultural planting pesticide prescription system based on internet and artificial intelligence includes:
the system comprises a pesticide database unit, a pesticide application historical database, a remote data processing interaction platform, a demand end and an audit client end;
the pesticide database unit and the pesticide application historical database are arranged in the remote data processing interaction platform or connected with a network cloud;
the demand end and the audit client end are communicated with the remote data processing interactive platform through a network respectively;
the demand side and the audit client side realize corresponding functions by adopting a remote login remote data processing interaction platform, or realize corresponding functions by downloading a program, a program APP or an applet for realizing the corresponding functions;
the pesticide database unit: the system is used for storing the following data, wherein a transverse pesticide application database is respectively established according to the types of crops and the growth cycles of the crops, and a longitudinal pesticide application database is respectively established according to the types of the crops and the growth cycle nodes of the crops;
the pesticide application history database comprises: the system is used for storing the following data and establishing a pesticide application historical database by taking a planting plot as a root directory, wherein the type and the dosage of pesticide application correspond to the type, the quantity and the cycle time point of crops of the planting plot, and the cycle time point is a time node for planting conventional crops or a time node when a specific crop actually suffers from diseases or damages;
the remote data processing interactive platform comprises: the agricultural planting pesticide prescription method based on the Internet and artificial intelligence is used for updating, processing and transmitting data;
a demand end: means for providing communication to a farm manager role for network communication with said remote data processing interaction platform;
and (3) auditing the client: and the device for providing communication for the agricultural expert role is used for carrying out network communication with the remote data processing interaction platform.
The invention has the advantages that:
the method adopts the Internet and the artificial intelligence technology to effectively fuse big data of pesticide application with actual farmland and farmland managers, and then automatically pushes pesticide application data to the farmland managers in a classified and graded manner to guide the farmland managers to manage crops after acquiring the planting information of the farmland managers, and can also automatically take a response or manually make a response according to the inquiry requirements of the farmland managers, collect the repair data of the crops after the response in time, and continuously update the data to the corresponding database after the examination and verification, thereby providing more accurate guidance for subsequent services.
Drawings
FIG. 1 is a flow chart of a method of the present invention;
FIG. 2 is a flow connection diagram of the system of the present invention.
Detailed Description
The invention is described in detail below with reference to the following examples and the accompanying drawings of the specification, but is not limited thereto.
Examples 1,
As shown in fig. 1 and 2.
An agricultural planting pesticide formulation method based on the Internet and artificial intelligence comprises the following steps:
1) establishing a pesticide database and a pesticide application historical database:
respectively establishing transverse pesticide application databases according to the types of crops and the growth cycles of the crops, and respectively establishing longitudinal pesticide application databases according to the types of the crops and the growth cycle nodes of the crops;
establishing a pesticide application historical database by taking a planting land block as a root directory, wherein the type and the dosage of pesticide application correspond to the type, the quantity and the cycle time point of crops of the planting land block, and the cycle time point is a time node for planting conventional crops or a time node when a specific crop actually suffers from diseases and damages;
the content of taking the planting plots as root directories comprises the following steps: geographical position information of the planting plots or label information of the planting plots; all information capable of uniquely identifying the land parcel is the protection scope of the invention;
2) and (2) carrying out network communication on the database in the step 1) and a demand end needing to acquire the pesticide application formula, after information matching, actively uploading or passively collecting the planting information according to the planting land, and respectively pushing the pesticide application formula in a matching manner or automatically pushing the pesticide application formula to provide the pesticide application formula to the demand end.
In this embodiment, the pesticide databases are respectively established according to the types of crops and the growth cycles of the crops, and respectively established according to the types of the crops and the growth cycle nodes of the crops, and the transverse and longitudinal explanations are as follows, i.e. taking cucumber as an example:
the transverse pesticide application data of the cucumbers comprise: diseases which can be generated in sequence from the permanent planting to the melon-bearing period comprise: epidemic disease, downy mildew, powdery mildew; the pesticide information corresponding thereto includes: for downy mildew and epidemic diseases, the timely pesticide spraying treatment is carried out at the early stage of the disease. Mainly utilizes metalaxyl manganese zinc with the concentration of 58 percent and arsenopyrite wettable powder with the concentration of 64 percent to be mixed and sprayed with 500 times of liquid. Or spraying the prasux water solution with the concentration of 72% for 1 time every 7 days at the spraying time of 800 times, properly adjusting according to the disease condition, and adding 250 times of the fosetyl-aluminum wettable powder with the concentration of 40% if powdery mildew and the like appear at the same time. The method is mainly characterized in that 50% of prochloraz wettable powder is sprayed by 2000 times of liquid, and 1000 times of prochloraz wettable powder is added. The control and management of blight are mainly characterized by that in the course of field planting, 50% carbendazim wettable powder is mixed with fine soil and then sprinkled into field planting hole. Or treating the diseased plant by using 50% carbendazim wettable powder.
The longitudinal pesticide application data of the cucumbers comprises that when a corresponding disease occurs, information of all commercially available medicines is corresponding to a root directory of a certain type of medicines according to the type of the medicines, wherein a certain time point is taken as a unit.
The pesticide application data is updated at any time, and the database is finally updated according to information such as new medicine marketing, medicine application standard adjustment and the like.
Examples 2,
The agricultural planting pesticide development method based on the internet and artificial intelligence as described in example 1 further comprises: an online auditing step: and (3) rechecking the matching pushed pesticide application formulas in the step 2) by the auditing client through the Internet. When in application, the auditing client is a network client applied by agricultural experts.
Examples 3,
The agricultural planting pesticide development method based on the internet and artificial intelligence as described in example 2 further comprises: an online auditing step: and the online auditing step also comprises the step of automatically pushing and correcting the operating scheme of the pesticide applying prescription to the demand side so as to adjust the dosage and the use method of the pesticide applying prescription, and finally, the pesticide residue in the process of receiving the crops meets the corresponding industrial standard.
Examples 4,
In the internet-based and artificial intelligence-based agricultural planting pesticide formulation development method in example 3, the operation scheme for automatically pushing and correcting the pesticide application formula is to adjust the dosage and usage of the pesticide application formula according to single pesticide application metering and combined with the residue of pesticide or the conversion of metabolic time.
Examples 5,
As in the method for developing agricultural planting pesticides based on internet and artificial intelligence in example 4, the operation scheme for automatically pushing and correcting the pesticide application formula further includes integrating the corresponding plot and planting information in the historical database of pesticide application, and adjusting the dosage and usage of the pesticide application formula according to multiple pesticide application measurements and the reduction of pesticide residue or metabolic time.
Examples 6,
In the agricultural planting pesticide development method based on the internet and artificial intelligence in the embodiment 2, in the online auditing step, the auditing client refers to the information of the pesticide application historical database, and corrects and rechecks the information according to the actual conditions of crops to adjust the dosage and the usage of pesticide application formulas, so that the pesticide residue of the crops in receiving can meet the corresponding industrial standard;
the actual conditions of the crops include: combining the pesticide residue or metabolism time and the standard of the pesticide residue when the crops are received.
Example 7,
The agricultural planting pesticide formulation method based on the internet and artificial intelligence as described in embodiment 2 further includes a feedback result database after pesticide formulation application, and specifically includes:
the demand end carries out pesticide application operation according to the pushed pesticide application formula, and then uploads the growth and development conditions of the crops to which the pesticide is applied in real time through the demand end until the disease and pest conditions disappear; the growth and development conditions of the crops include but are not limited to: the real-time growth picture of the crops and/or the literal description of the growth condition of the crops.
Example 8,
The agricultural planting pesticide developing method based on the internet and the artificial intelligence is as described in example 7, the real-time growth photos of the crops are correspondingly selected in the pesticide database; the pesticide database also comprises basic information of varieties of crops and nodes of crop growth cycles, and photos of crop recovery processes after certain types of pesticides are applied are correspondingly stored.
Examples 9,
The agricultural planting pesticide formulation method based on the internet and the artificial intelligence is as described in example 7, and the literal description of the real-time growth condition of the crops is correspondingly selected in a pesticide database; the pesticide database also comprises a pull-down menu which takes the varieties of crops and the nodes of the growth cycle of the crops as basic information, correspondingly stores the corresponding word descriptions in the recovery process of the crops after pesticide application according to the corresponding word descriptions, and stores the word descriptions in a keyword form, so that the pull-down menu is formed for the on-line selection of the demand side.
Examples 10,
The agricultural planting pesticide prescription method based on the Internet and artificial intelligence further comprises a prescription data updating method:
after the demand side adjusts the pesticide application formula, if the disease is successfully eliminated, the demand side automatically pushes the pesticide application formula to the auditing client side: crop planting data, disease data, recommended pesticide application formulas, adjusted pesticide application formulas and recovery effect information; the auditing client manually rechecks the data information from a professional perspective and experience: and if the rechecking is passed, the data information is automatically loaded into the pesticide database.
Examples 11,
As shown in fig. 1 and 2.
An agricultural planting pesticide prescription system based on internet and artificial intelligence includes:
the system comprises a pesticide database unit, a pesticide application historical database, a remote data processing interaction platform, a demand end and an audit client end;
the pesticide database unit and the pesticide application historical database are arranged in the remote data processing interaction platform or connected with a network cloud;
the demand end and the audit client end are communicated with the remote data processing interactive platform through a network respectively;
the demand side and the audit client side realize corresponding functions by adopting a remote login remote data processing interaction platform, or realize corresponding functions by downloading a program, a program APP or an applet for realizing the corresponding functions;
the pesticide database unit: the system is used for storing the following data, wherein a transverse pesticide application database is respectively established according to the types of crops and the growth cycles of the crops, and a longitudinal pesticide application database is respectively established according to the types of the crops and the growth cycle nodes of the crops;
the pesticide application history database comprises: the system is used for storing the following data and establishing a pesticide application historical database by taking a planting plot as a root directory, wherein the type and the dosage of pesticide application correspond to the type, the quantity and the cycle time point of crops of the planting plot, and the cycle time point is a time node for planting conventional crops or a time node when a specific crop actually suffers from diseases or damages;
the remote data processing interactive platform comprises: the agricultural planting pesticide prescription method based on the Internet and artificial intelligence is used for updating, processing and transmitting data;
a demand end: the communication device is provided for the role of a farmland manager and is used for carrying out network communication with the remote data processing interaction platform;
and (3) auditing the client: and the communication device is provided for the agricultural expert role and is used for carrying out network communication with the remote data processing interaction platform.
Claims (6)
1. An agricultural planting pesticide formulation method based on the Internet and artificial intelligence is characterized by comprising the following steps:
1) establishing a pesticide database and a pesticide application historical database:
respectively establishing transverse pesticide application databases according to the types of crops and the growth cycles of the crops, and respectively establishing longitudinal pesticide application databases according to the types of the crops and the growth cycle nodes of the crops;
establishing a pesticide application historical database by taking a planting land block as a root directory, wherein the type and the dosage of pesticide application correspond to the type, the quantity and the cycle time point of crops of the planting land block, and the cycle time point is a time node for planting conventional crops or a time node when a specific crop actually suffers from diseases and damages;
the content of taking the planting plots as root directories comprises the following steps: geographical position information of the planting plots or label information of the planting plots;
2) carrying out network communication on the database in the step 1) and a demand end needing to acquire pesticide application formulas, after information matching, actively uploading or passively collecting according to planting information of a planting land, and respectively pushing the pesticide application formulas in a matching manner or automatically pushing the pesticide application formulas to provide the pesticide application formulas to the demand end;
the agricultural planting pesticide development method based on the Internet and the artificial intelligence further comprises the following steps: an online auditing step: the auditing client rechecks the matching pushed pesticide application formulas in the step 2) through the Internet;
the online auditing step also comprises the step of automatically pushing and correcting an operation scheme of the pesticide applying prescription to the demand side so as to adjust the dosage and the use method of the pesticide applying prescription, and finally enabling the pesticide residue to meet the corresponding industrial standard when the crops are received;
the method also comprises the step of establishing a feedback result database after pesticide application, and the method specifically comprises the following steps:
the demand end carries out pesticide application operation according to the pushed pesticide application formula, and then uploads the growth and development conditions of the crops to which the pesticide is applied in real time through the demand end until the disease and pest conditions disappear; the growth and development conditions of the crops include but are not limited to: the real-time growth picture of the crops and/or the literal description of the growth condition of the crops.
2. The agricultural planting pesticide development method based on the internet and artificial intelligence as claimed in claim 1, wherein the operation scheme of automatically pushing and correcting the pesticide application formula is to adjust the dosage and usage of the pesticide application formula according to single pesticide application metering and combined with the conversion of pesticide residue or metabolic time.
3. The internet-and artificial-intelligence-based agricultural planting pesticide development method according to claim 2, wherein the operation scheme for automatically pushing and correcting the pesticide application formula further comprises the step of integrating the corresponding plot and planting information in the pesticide application history database with the dosage and usage of the pesticide application formula adjusted according to multiple pesticide application metering and the conversion of pesticide residue or metabolic time.
4. The agricultural planting pesticide developing method based on the internet and the artificial intelligence is characterized in that in the online auditing step, the auditing client refers to the information of the pesticide application historical database, and performs correction and recheck according to the actual conditions of crops to adjust the dosage and the usage of pesticide application formulas, so that the pesticide residue in the process of receiving the crops finally meets the corresponding industrial standard;
the actual conditions of the crops include: combining the pesticide residue or metabolism time and the standard of the pesticide residue when the crops are received.
5. The internet and artificial intelligence based agricultural planting pesticide development method according to claim 1, wherein the real-time growth photos of the crops are correspondingly selected in a pesticide database; the pesticide database also comprises basic information of varieties of crops and nodes of crop growth cycles, and photos of crop recovery processes after certain types of pesticides are applied are correspondingly stored;
the real-time growth condition text description of the crops is correspondingly selected in a pesticide database; the pesticide database also comprises a pull-down menu which takes the varieties of crops and the nodes of the growth cycle of the crops as basic information, correspondingly stores the corresponding word descriptions in the recovery process of the crops after pesticide application according to the corresponding word descriptions, and stores the word descriptions in a keyword form, so that the pull-down menu is formed for the on-line selection of the demand side.
6. The agricultural planting pesticide development method based on the Internet and artificial intelligence is characterized by further comprising a development data updating method:
after the demand side adjusts the pesticide application formula, if the disease is successfully eliminated, the demand side automatically pushes the pesticide application formula to the auditing client side: crop planting data, disease data, recommended pesticide application formulas, adjusted pesticide application formulas and recovery effect information; the auditing client manually rechecks the data information from a professional perspective and experience: and if the rechecking is passed, the data information is automatically loaded into the pesticide database.
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| CN112948641B (en) * | 2021-03-25 | 2022-10-11 | 河北农业大学 | Agricultural three-dimensional database construction method and agricultural technology diffusion platform |
| CN113223660A (en) * | 2021-05-14 | 2021-08-06 | 北京百瑞弘霖有害生物防治科技有限责任公司 | Method and device for acquiring prescription |
| CN113837602A (en) * | 2021-09-23 | 2021-12-24 | 清远市巨劲科技有限公司 | Intelligent agricultural planting service system based on agricultural big data platform |
| CN114550848A (en) * | 2022-02-21 | 2022-05-27 | 北京京东尚科信息技术有限公司 | Crop disease treatment method and device, electronic equipment and computer readable medium |
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| CN1543784A (en) * | 2003-11-14 | 2004-11-10 | 中国科学院合肥智能机械研究所 | Apparatus for crop pest and disease monitoring and pesticide prescription generating |
| CN105850957A (en) * | 2016-04-27 | 2016-08-17 | 深圳市双赢伟业科技股份有限公司 | Pesticide applying method and system adopting agricultural interconnection |
| CN108605923A (en) * | 2018-05-15 | 2018-10-02 | 河南科技大学 | Pesticide dispenser monitors and accurate volume control device and method |
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Denomination of invention: A method and system for agricultural planting pesticide prescription based on Internet and artificial intelligence Effective date of registration: 20220805 Granted publication date: 20200918 Pledgee: Shandong Shibang Agrochemical Co.,Ltd. Pledgor: SHANDONG FENGXIN AGRICULTURAL SERVICE CHAIN CO.,LTD.|FENGXIN DATA TECHNOLOGY GROUP Co.,Ltd. Registration number: Y2022370000094 |