CN112633705A - Algorithm for analyzing farming activity - Google Patents
Algorithm for analyzing farming activity Download PDFInfo
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- CN112633705A CN112633705A CN202011561660.9A CN202011561660A CN112633705A CN 112633705 A CN112633705 A CN 112633705A CN 202011561660 A CN202011561660 A CN 202011561660A CN 112633705 A CN112633705 A CN 112633705A
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0637—Strategic management or analysis, e.g. setting a goal or target of an organisation; Planning actions based on goals; Analysis or evaluation of effectiveness of goals
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
- G06Q50/02—Agriculture; Fishing; Mining
Abstract
The invention discloses an algorithm for analyzing farming activity, which comprises the following steps: s01, acquiring the current planting information of the crops, S02: acquiring environment information, S03: acquiring weather information, S04: obtaining soil information of crop planting field, SO 5: searching current farming activity information corresponding to the current crop variety and planting stage obtained in the step S01, S06: and judging whether the farming activities are suitable according to the acquired current farming activity information of the crops and the acquired environmental information, meteorological information and soil information. According to the method for analyzing the farming activity, the farming activity required by the planting variety in the current planting stage can be reasonably analyzed by collecting the planting variety information and the planting stage information and matching with the collected environmental information, meteorological information and soil information of the planting field, and the farming activity is pushed to the user terminal, so that the process of farming can meet the scientific farming mode as much as possible, the farming efficiency is ensured, and the yield of crops is improved.
Description
Technical Field
The invention relates to the technical field of data processing information, in particular to an algorithm for analyzing farming activity.
Background
The farming activities refer to the activities of farmers for agricultural production according to the seasonal climate rules. Traditional farming activities include spring planting, summer management, autumn harvesting, and winter storage. The existing farming activities are changed greatly, and the farming activities also include various links and processes such as soil testing, seed selection, seedling raising, fertilization, pest control, crop selling, agricultural information control and the like, and the agricultural activities cover industries such as fruits and vegetables, flowers and trees, Chinese herbal medicines, edible fungi, grain oil, aquatic products, livestock, pesticides, fertilizers, seeds, agricultural machinery, facilities and the like. The cultivation of improved rice varieties like the scientist Yuanping has made a great contribution to the world food safety; his scientific and technological achievements have also become an important achievement in the development of human civilization.
However, at present, the existing crops are subjected to agricultural activities, and no good analysis method is used for analysis, so that the reasonable and accurate implementation of the agricultural activities is realized, farmers generally implement the agricultural activities by means of own planting experiences, the crop yield is influenced, and the survival rate of the crop planting is seriously influenced.
Disclosure of Invention
The invention aims to solve the defects of complex algorithm, more consumption of computing resources, poor integration in ADAS and high cost of a high beam control system in the prior art, and provides an algorithm for analyzing the action of the farming activities.
In order to achieve the purpose, the invention adopts the following technical scheme: an algorithm for analyzing the behavior of a farming activity, comprising the steps of:
s01, acquiring the current planting information of the crops, acquiring the current image information of the crops by using the shooting module, processing and analyzing the acquired image information, and then determining the current varieties and planting stages of the crops;
s02: acquiring environmental information, and acquiring temperature and humidity data, illumination intensity data and illumination time data of current air by using a sensor;
s03: acquiring meteorological information;
s04: acquiring soil information of a crop planting field, and acquiring the soil information of the crop planting field by using a sensor;
SO 5: searching current farming activity information corresponding to the current crop variety and planting stage obtained in the step S01;
s06: judging whether the farming activities are suitable according to the acquired current farming activity information of the crops and the acquired environmental information, meteorological information and soil information, wherein the farming activities are suitable for being transferred into SO7, and quitting if the farming activities are not suitable;
s07: and pushing the current farming activities to the user terminal.
As a further description of the above technical solution:
in step S01, the acquired image information is processed and analyzed, including removing noise, enhancing, restoring, segmenting, and extracting features, and then the processed image information is transmitted to a pre-established crop information repository and compared with information stored in the crop information repository, so as to determine the current crop planting variety and stage.
As a further description of the above technical solution:
in step S03, the acquired weather information includes weather data information of the week before and the week after the current time period.
As a further description of the above technical solution:
and the meteorological data information of the next week is obtained by an NBIOT-based agricultural Internet of things communication module.
As a further description of the above technical solution:
and acquiring the meteorological data information of the previous week through a sensor.
As a further description of the above technical solution:
the weather information obtained in step S03 includes weather data and weather data.
As a further description of the above technical solution:
the sensors used in the step S04 include a soil temperature sensor, a soil humidity sensor, a soil PH sensor, a soil nitrogen phosphorus potassium sensor, and a soil conductivity sensor.
As a further description of the above technical solution:
the step S05 specifically includes the following steps:
s051: establishing a farming activity database;
s052: acquiring a current time period of a current moment;
s053: searching a current agricultural activity mapping relation corresponding to the current crop variety, the planting stage and the current time period in the established agricultural activity library;
s054: and searching the current farming activities corresponding to the current crop varieties and the planting stages in the current activity mapping relation.
As a further description of the above technical solution:
in step S01, the obtaining of the current crop planting information further includes planting time information and planting variety information uploaded by the user terminal.
Advantageous effects
The invention provides an algorithm for analyzing farming activity. The method has the following beneficial effects:
(1): this algorithm of analysis farming activity action can be through gathering planting variety information and planting stage information, whether the reasonable analysis of environmental information, meteorological information and the soil information of planting the ground that the cooperation was gathered goes out the planting variety of current planting stage and need carry out the farming activity to with its propelling movement to user terminal, the process that can guarantee agricultural cultivation can satisfy scientific farming mode as far as possible, has guaranteed the efficiency of farming, has improved the output of crops.
(2): this algorithm of analysis farming activity action, the data information of collection is comprehensive to guarantee the farming activity that the crops that reasonable analysis department planted at the current planting stage need carry out, make the more accurate of farming activity of carrying on of crops, can grasp accurate time and implement farming activity, improved the output of crops.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all embodiments.
An algorithm for analyzing the behavior of a farming activity, comprising the steps of:
s01, acquiring the current planting information of the crops, acquiring the current image information of the crops by using the shooting module, processing and analyzing the acquired image information, and then determining the current varieties and planting stages of the crops;
s02: acquiring environmental information, and acquiring temperature and humidity data, illumination intensity data and illumination time data of current air by using a sensor;
s03: acquiring meteorological information;
s04: acquiring soil information of a crop planting field, and acquiring the soil information of the crop planting field by using a sensor;
SO 5: searching current farming activity information corresponding to the current crop variety and planting stage obtained in the step S01;
s06: judging whether the farming activities are suitable according to the acquired current farming activity information of the crops and the acquired environmental information, meteorological information and soil information, wherein the farming activities are suitable for being transferred into SO7, and quitting if the farming activities are not suitable;
s07: and pushing the current farming activities to the user terminal.
In step S01, the acquired image information is processed and analyzed, including removing noise, enhancing, restoring, segmenting, and extracting features, and then the processed image information is transmitted to a pre-established crop information repository and compared with information stored in the crop information repository, so as to determine the current crop planting variety and stage.
In step S03, the acquired weather information includes weather data information of the week before and the week after the current time period.
Weather data information of the next week is obtained by the NBIOT-based agricultural Internet of things communication module.
And acquiring the meteorological data information of the previous week through a sensor.
The weather information acquired in step S03 includes weather data and weather data.
The sensors used in step S04 include a soil temperature sensor, a soil humidity sensor, a soil PH sensor, a soil nitrogen phosphorus potassium sensor, and a soil conductivity sensor.
Step S05 specifically includes the following steps:
s051: establishing a farming activity database;
s052: acquiring a current time period of a current moment;
s053: searching a current agricultural activity mapping relation corresponding to the current crop variety, the planting stage and the current time period in the established agricultural activity library;
s054: and searching the current farming activities corresponding to the current crop varieties and the planting stages in the current activity mapping relation.
In step S01, the obtaining of the current crop planting information further includes planting time information and planting variety information uploaded by the grower through the user terminal.
In the description herein, references to the description of "one embodiment," "an example," "a specific example" or the like are intended to mean that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the invention. In this specification, the schematic representations of the terms used above do not necessarily refer to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.
The above description is only for the preferred embodiment of the present invention, but the scope of the present invention is not limited thereto, and any person skilled in the art should be considered to be within the technical scope of the present invention, and the technical solutions and the inventive concepts thereof according to the present invention should be equivalent or changed within the scope of the present invention.
Claims (9)
1. An algorithm for analyzing the behavior of a farming activity, comprising the steps of:
s01, acquiring the current planting information of the crops, acquiring the current image information of the crops by using the shooting module, processing and analyzing the acquired image information, and then determining the current varieties and planting stages of the crops;
s02: acquiring environmental information, and acquiring temperature and humidity data, illumination intensity data and illumination time data of current air by using a sensor;
s03: acquiring meteorological information;
s04: acquiring soil information of a crop planting field, and acquiring the soil information of the crop planting field by using a sensor;
SO 5: searching current farming activity information corresponding to the current crop variety and planting stage obtained in the step S01;
s06: judging whether the farming activities are suitable according to the acquired current farming activity information of the crops and the acquired environmental information, meteorological information and soil information, wherein the farming activities are suitable for being transferred into SO7, and quitting if the farming activities are not suitable;
s07: and pushing the current farming activities to the user terminal.
2. The algorithm for analyzing agricultural activity according to claim 1, wherein in step S01, the acquired image information is processed and analyzed, including denoising, enhancing, restoring, segmenting and extracting features, and then the processed image information is transmitted to a pre-established crop information repository to be compared with the information stored in the crop information repository, so as to determine the planting type and the planting stage of the current crop.
3. The algorithm for analyzing agricultural activity of claim 1, wherein the weather information obtained in step S03 includes weather data information of one week before and one week after the current time period.
4. The algorithm for analyzing the behavior of agricultural activities of claim 3, wherein the weather data information of the next week is obtained by an NBIOT-based agricultural Internet of things communication module.
5. The algorithm for analyzing the behavior of agricultural activities of claim 3, wherein the meteorological data information of the previous week is acquired by a sensor.
6. The algorithm for analyzing the behavior of agricultural activities of claim 1, wherein the weather information obtained in step S03 comprises weather data and weather data.
7. The algorithm for analyzing the behavior of agricultural activities of claim 1, wherein the sensors used in step S04 comprise soil temperature sensors, soil humidity sensors, soil PH sensors, soil nitrogen phosphorus potassium sensors and soil conductivity sensors.
8. The algorithm for analyzing agricultural activity according to claim 1, wherein the step S05 specifically comprises the following steps:
s051: establishing a farming activity database;
s052: acquiring a current time period of a current moment;
s053: searching a current agricultural activity mapping relation corresponding to the current crop variety, the planting stage and the current time period in the established agricultural activity library;
s054: and searching the current farming activities corresponding to the current crop varieties and the planting stages in the current activity mapping relation.
9. The algorithm for analyzing agricultural activity of claim 1, wherein the step S01, the obtaining of the current planting information of the crops further comprises planting time information and planting variety information uploaded by a user terminal.
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| CN202011561660.9A CN112633705A (en) | 2020-12-25 | 2020-12-25 | Algorithm for analyzing farming activity |
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| CN202011561660.9A CN112633705A (en) | 2020-12-25 | 2020-12-25 | Algorithm for analyzing farming activity |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114545527A (en) * | 2022-01-25 | 2022-05-27 | 华风气象传媒集团有限责任公司 | Method for forecasting weather suitability of farming activities |
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2020
- 2020-12-25 CN CN202011561660.9A patent/CN112633705A/en active Pending
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| CA2967518A1 (en) * | 2015-11-03 | 2017-05-11 | Decisive Farming Corp. | Agricultural enterprise management method and system |
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| CN109191320A (en) * | 2018-08-06 | 2019-01-11 | 四川优耀科技有限公司 | A kind of agricultural production management guidance method and system |
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