CN111854831A - Intelligent and automatic agricultural data acquisition system based on big data - Google Patents
Intelligent and automatic agricultural data acquisition system based on big data Download PDFInfo
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- G01D—MEASURING NOT SPECIALLY ADAPTED FOR A SPECIFIC VARIABLE; ARRANGEMENTS FOR MEASURING TWO OR MORE VARIABLES NOT COVERED IN A SINGLE OTHER SUBCLASS; TARIFF METERING APPARATUS; MEASURING OR TESTING NOT OTHERWISE PROVIDED FOR
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- G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
- G01S19/00—Satellite radio beacon positioning systems; Determining position, velocity or attitude using signals transmitted by such systems
- G01S19/01—Satellite radio beacon positioning systems transmitting time-stamped messages, e.g. GPS [Global Positioning System], GLONASS [Global Orbiting Navigation Satellite System] or GALILEO
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Abstract
The invention discloses an intelligent and automatic agricultural data acquisition system based on big data, which comprises a data acquisition center, a data processing center, a data storage center, a data display center and an advice reminding unit, wherein the output end of the data acquisition center is electrically connected with the input end of the data processing center, and the output end of the data processing center is electrically connected with the data storage center, the data display center and the input end of the advice reminding module. The influence of errors in manual judgment on the crop yield can be effectively avoided.
Description
Technical Field
The invention relates to the technical field, in particular to an intelligent and automatic agricultural data acquisition system based on big data.
Background
As the first major world, agriculture has been greatly developed, with the continuous progress and development of science and technology, various hybrid rice is cultivated, the grain yield of China is greatly improved, the problem of temperature fullness of billions of people is solved, the development of modern agriculture is fierce, however, most of crops depend on experience in the selection of harvesting time, and the crops need to frequently go to the field to judge the maturity of the crops, the harvesting time of the crops is confirmed, the intelligent and automatic production and judgment cannot be realized, when large-scale grain planting is carried out, the process is a more complicated process, and the influence of environmental factors can cause errors in the judgment time and influence the yield of the crops, and the harvesting time of the crops can be influenced by the influence of weather, so that how to well select the most proper harvesting time point according to data and weather to become grain harvesting and the need to harvest Therefore, an intelligent and automatic agricultural data acquisition system based on big data is urgently needed to solve the problems.
Disclosure of Invention
The invention aims to provide an intelligent and automatic agricultural data acquisition system based on big data, and aims to solve the problems in the prior art.
In order to achieve the purpose, the invention provides the following technical scheme: an intelligent and automatic agricultural data acquisition system based on big data comprises a data acquisition center, a data processing center, a data storage center, a data display center and a suggestion reminding unit;
the output end of the data acquisition center is electrically connected with the input end of the data processing center, and the output end of the data processing center is electrically connected with the data storage center, the data display center and the input end of the suggestion reminding module.
According to the technical scheme, the data acquisition center is used for acquiring the environment data of a farmland and the growth data of crops, judging the growth progress of the crops, and serving as a judgment and calculation basis of the crop yield, so that the growth environment of the crops can be continuously adjusted, and the yield of the crops can be continuously improved;
the data acquisition center comprises an environment data acquisition unit and a crop data acquisition unit, the output ends of the environment data acquisition unit and the crop data acquisition unit are electrically connected with the input end of the data processing center, the environment data acquisition unit is used for acquiring growth environment data of crops, and the crop data acquisition unit is used for acquiring growth data of the crops;
The environment data acquisition comprises a temperature sensor, a humidity sensor, an illumination sensor, a wind speed sensor, a rainfall sensor, an air pressure sensor and a PH value sensor;
the output ends of the temperature sensor, the humidity sensor, the illumination sensor, the wind speed sensor, the rainfall sensor, the air pressure sensor and the PH value sensor are electrically connected with the input end of the data processing center;
the temperature sensor is used for detecting the temperature of a crop growth environment in real time, the humidity sensor is used for detecting the humidity of the crop growth environment in real time, the illumination sensor is used for detecting the illumination time and the illumination intensity of the crop growth environment, the wind speed sensor is used for detecting the wind speed of the crop growth environment in real time, the rainfall sensor is used for detecting the wind speed of the crop growth environment in real time, the air pressure sensor is used for detecting the atmospheric pressure of the crop growth environment in real time, and the PH sensor is used for detecting the PH value of the soil for crop growth in real time;
the crop data acquisition comprises an infrared transmitter, an infrared receiver and a GPS positioning module;
the output ends of the infrared transmitter, the infrared receiver and the GPS positioning module are electrically connected with the input end of the data processing center;
Infrared emitter installs inside first gauge rod, infrared emitter is used for transmitting infrared signal, infrared receiver installs inside the second gauge rod, infrared receiver is used for saving the infrared signal that infrared emitter transmitted for carry out real-time measurement to the growth height value of crops, a plurality of through-hole has been seted up to the impartial distance in first gauge rod and second gauge rod one side for transmit and receive infrared signal, GPS orientation module is used for confirming the position in farmland, as the basis that crops output was judged.
According to the technical scheme, the data processing center is used for calculating and processing the data acquired by the data acquisition center, evaluating the growth environment of crops and predicting the yield of the crops;
the data processing center comprises a central processing unit, a timer, a data conversion unit, a data comparison unit and a difference data extraction unit;
the output end of the central processing unit is electrically connected with the input ends of the timer, the data conversion unit, the data comparison unit and the difference data extraction unit;
the central processing unit is used for calculating and evaluating data acquired by the data acquisition center, the timer is used for recording the time of each data acquisition of the data acquisition center and the growth cycle of crops, the data conversion unit is used for converting the data processed by the central processing unit and converting the data into a chart for displaying, the data comparison unit is used for comparing the environmental data of crops, the crop data and the yield in different regions and finding out the environmental factors influencing the crop yield and the environmental data most suitable for the crop growth, and the difference data extraction unit is used for extracting the data with large difference to realize independent comparison.
According to the technical scheme, the data storage center is used for storing the data collected by the data collection center and the data processed by the data processing center;
the data storage center comprises a storage database, a data calling unit and a data storage unit;
the data storage unit is electrically connected with the central processing unit, the output end of the data storage unit is electrically connected with the input end of the storage database, and the output end of the data calling unit is electrically connected with the input end of the storage database;
the storage database is used for storing data, the data calling unit is used for calling related data from the storage database, and the data storage unit is used for storing the acquired and calculated data into the storage database.
According to the technical scheme, the data display center comprises a data display screen, and the data display screen is electrically connected with the central processing unit;
the data display screen is used for displaying the data converted by the data conversion unit and the data processed by the central processing unit, so that the growth environment data of the crops can be known more intuitively.
According to the technical scheme, the suggestion reminding module comprises a harvesting reminding unit and a third-party data reminding unit, and the harvesting reminding unit and the third-party data reminding unit are electrically connected with the central processing unit;
The harvesting reminding unit is used for reminding workers of judging the crop maturity time, and the third-party data reminding unit is used for inputting predicted weather data and reminding the workers of future weather changes.
According to the technical scheme, in the data acquisition center, the data detected by a temperature sensor is T, the data detected by a humidity sensor is X, the data detected by an illumination sensor is L, the data detected by a wind speed sensor is S, the data detected by a rainfall sensor is V, the data detected by an air pressure sensor is P, PH, the data detected by an infrared emitter and an infrared receiver is J, and the height of crops detected by the infrared emitter and the infrared receiver is H;
and setting the time recorded by the timer as t as the growth period of the crops.
According to the technical scheme, the data of the i time points are collected in the growth cycle of the crops respectively;
the temperature data collected by the temperature sensor is T1、T2、...、TiWherein, in the step (A),represents the average temperature of i time points;
the humidity data collected by the humidity sensor is X1、X2、...、XiWherein, in the step (A),represents the average humidity at i time points;
the illumination intensity data collected by the illumination sensor is L1、L2、...、LiWherein, in the step (A),represents the average illumination time of i time points;
The wind speed data collected by the wind speed sensor is S1、S2、...、SiWherein, in the step (A),represents the average wind speed at i time points;
the rainfall data collected by the rainfall sensor is V1、V2、...、ViWherein, in the step (A),represents the average rainfall of i time points;
the air pressure data collected by the air pressure sensor is P1、P2、...、PiWherein, in the step (A),represents the average air pressure at i time points;
the soil PH data collected by the PH sensor is J1、J2、...、JiWherein, in the step (A),represents the average PH at i time points;
the height data of the crops collected by the infrared transmitter and the infrared receiver is H1、H2、...、Hi。
According to the technical scheme, the data comparison unit compares the data collected in the t time period of the crop growth cycle with the data stored in the storage database, the difference data extraction unit is used for extracting the data from the storage database, and the growth cycle t of the crop corresponding to the data is compared1In (1),t2In (1),t3In (1),t4In (1),t5In (1),t6In (1),t7In (1)Carrying out calling comparison;
wherein the content of the first and second substances,、、、、、、respectively representing the temperature, humidity, illumination intensity, wind speed, rainfall, air pressure and PH value which are most suitable for the growth of crops;
according to the formula:
,,,,,,respectively calculating the influence coefficients of temperature, humidity, illumination intensity, wind speed, rainfall, air pressure and pH value on the growth cycle of crops;
Growth period t of crops according to influence coefficientGeneral assemblyAnd calculating and reminding through the data of the harvest reminding unit and the third-party data reminding unit.
Compared with the prior art, the invention has the beneficial effects that: according to the collection of different data in the environment, the influence of different environmental data on the growth cycle of crops is calculated, so that the growth cycle of the crops under the current environmental factors can be accurately calculated without the need of farmers going to the field to observe the maturity of the crops, moreover, the third-party weather data is imported, so that the harvesting time of the crops does not need to be judged according to experience, moreover, the optimal and proper harvesting time can be selected through the weather change of the harvesting time point, the influence of errors in manual judgment on the crop yield can be effectively avoided, the growth environment of crops can be improved according to the detected environmental data, the agricultural crop growth monitoring system can effectively improve the crop yield, realize intelligent and automatic monitoring on crop growth, effectively reduce the burden of farmers and really realize the datamation of agricultural production.
Drawings
FIG. 1 is a schematic diagram of a modular structure of an intelligent and automated agricultural data acquisition system based on big data according to the present invention;
FIG. 2 is a schematic diagram of the module connections of an intelligent, automated agricultural data collection system based on big data according to the present invention;
fig. 3 is a schematic view of a work flow of an intelligent and automatic agricultural data acquisition system based on big data according to the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the 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 invention.
The first embodiment is as follows: as shown in fig. 1-3, an intelligent and automatic agricultural data acquisition system based on big data comprises a data acquisition center, a data processing center, a data storage center, a data display center and a suggestion reminding unit;
the output end of the data acquisition center is electrically connected with the input end of the data processing center, and the output end of the data processing center is electrically connected with the input ends of the data storage center, the data display center and the suggestion reminding module.
The data acquisition center is used for acquiring environment data of a farmland and growth data of crops, judging the growth progress of the crops, and serving as a judgment and calculation basis of the crop yield, so that the growth environment of the crops can be continuously adjusted, and the yield of the crops can be continuously improved;
the data acquisition center comprises an environment data acquisition unit and a crop data acquisition unit, the output ends of the environment data acquisition unit and the crop data acquisition unit are electrically connected with the input end of the data processing center, the environment data acquisition unit is used for acquiring growth environment data of crops, and the crop data acquisition unit is used for acquiring growth data of the crops;
the environment data acquisition comprises a temperature sensor, a humidity sensor, an illumination sensor, a wind speed sensor, a rainfall sensor, an air pressure sensor and a PH value sensor;
the output ends of the temperature sensor, the humidity sensor, the illumination sensor, the wind speed sensor, the rainfall sensor, the air pressure sensor and the PH value sensor are electrically connected with the input end of the data processing center;
the temperature sensor is used for detecting the temperature of a crop growth environment in real time, the humidity sensor is used for detecting the humidity of the crop growth environment in real time, the illumination sensor is used for detecting the illumination time and the illumination intensity of the crop growth environment, the wind speed sensor is used for detecting the wind speed of the crop growth environment in real time, the rainfall sensor is used for detecting the wind speed of the crop growth environment in real time, the air pressure sensor is used for detecting the atmospheric pressure of the crop growth environment in real time, and the PH sensor is used for detecting the PH value of the soil for crop growth in real time;
The crop data acquisition comprises an infrared transmitter, an infrared receiver and a GPS positioning module;
the output ends of the infrared transmitter, the infrared receiver and the GPS positioning module are electrically connected with the input end of the data processing center;
infrared emitter installs inside first gauge rod, infrared emitter is used for transmitting infrared signal, infrared receiver installs inside the second gauge rod, infrared receiver is used for saving the infrared signal that infrared emitter launched behind the infrared receiver, a growth height value for to crops carries out real-time measurement, a plurality of through-hole has been seted up to the impartial distance in first gauge rod and second gauge rod one side, a position for launching and receiving infrared signal, GPS orientation module is used for confirming the position in farmland, as the basis that crops output was judged.
The data processing center is used for calculating and processing the data collected by the data collecting center, evaluating the growth environment of crops and predicting the yield of the crops;
the data processing center comprises a central processing unit, a timer, a data conversion unit, a data comparison unit and a difference data extraction unit;
the output end of the central processing unit is electrically connected with the input ends of the timer, the data conversion unit, the data comparison unit and the difference data extraction unit;
The central processing unit is used for calculating and evaluating data collected by the data collection center, the timer is used for recording the time of each data collection of the data collection center and the growth cycle of crops, the data conversion unit is used for converting the data processed by the central processing unit and displaying the data in a chart form, so that the growth environment and the data of the crops can be connected more visually, the data comparison unit is used for comparing the environmental data of crops in different areas, the crop data and the yield to find out the environmental factors influencing the crop yield and the environmental data most suitable for the crop growth, so that the growth environment data of the crops can be improved and adjusted according to the compared data, the yield of the crops can be effectively improved, and the difference data extraction unit is used for extracting the data with larger difference, realize solitary contrast for can be more accurate look for the environmental factor that influences crop output and cycle.
The data storage center is used for storing the data collected by the data collection center and the data processed by the data processing center;
The data storage center comprises a storage database, a data calling unit and a data storage unit;
the data storage unit is electrically connected with the central processing unit, the output end of the data storage unit is electrically connected with the input end of the storage database, and the output end of the data calling unit is electrically connected with the input end of the storage database;
the storage database is used for storing data and facilitating data retrieval, the data retrieval unit is used for retrieving related data from the storage database, and the data storage unit is used for storing the acquired and calculated data into the storage database.
The data display center comprises a data display screen which is electrically connected with the central processing unit;
the data display screen is used for displaying the data converted by the data conversion unit and the data processed by the central processing unit, so that the growth environment data of the crops can be more intuitively known.
The suggestion reminding module comprises a harvesting reminding unit and a third-party data reminding unit, and the harvesting reminding unit and the third-party data reminding unit are electrically connected with the central processing unit;
reap and remind the unit and be used for reminding the judgement of staff crops maturity time, third party's data reminds the unit and is used for inputing the weather data of prediction for remind the future weather change of staff, the cooperation is reaped and is reminded the unit, can help the staff to select a most suitable harvesting opportunity, and remind through reaping reminding the unit.
In the data acquisition center, the data detected by a temperature sensor is T, the data detected by a humidity sensor is X, the data detected by an illumination sensor is L, the data detected by a wind speed sensor is S, the data detected by a rainfall sensor is V, the data detected by an air pressure sensor is P, PH, the data detected by an infrared emitter and an infrared receiver is J, and the height of crops detected by the infrared emitter and the infrared receiver is H;
and setting the time recorded by the timer as t as the growth period of the crops.
Collecting data of i time points in the growth cycle of the crops respectively;
the temperature data collected by the temperature sensor is T1、T2、...、TiWherein, in the step (A),represents the average temperature of i time points;
the humidity data collected by the humidity sensor is X1、X2、...、XiWherein, in the step (A),represents the average humidity at i time points;
the illumination intensity data collected by the illumination sensor is L1、L2、...、LiWherein, in the step (A),represents the average illumination time of i time points;
the wind speed data collected by the wind speed sensor is S1、S2、...、SiWherein, in the step (A),represents the average wind speed at i time points;
the rainfall data collected by the rainfall sensor is V1、V2、...、ViWherein, in the step (A),represents the average rainfall of i time points;
the air pressure data collected by the air pressure sensor is P1、P2、...、PiWherein, in the step (A),represents the average air pressure at i time points;
The soil PH data collected by the PH sensor is J1、J2、...、JiWherein, in the step (A),represents the average PH at i time points;
the height data of the crops collected by the infrared transmitter and the infrared receiver is H1、H2、...、Hi。
The data comparison unit compares the data collected in the time period t of the crop growth cycle with the data stored in the storage database, the difference data extraction unit is used for extracting the data from the storage database, and the growth cycle t of the crop corresponding to the data is compared1In (1),t2In (1),t3In (1),t4In (1),t5In (1),t6In (1),t7In (1)Carrying out calling comparison;
wherein the content of the first and second substances,、、、、、、respectively representing the temperature, humidity, illumination intensity, wind speed, rainfall, air pressure and PH value which are most suitable for the growth of crops;
according to the formula:
,,,,,,respectively calculating the influence coefficients of temperature, humidity, illumination intensity, wind speed, rainfall, air pressure and pH value on the growth cycle of crops;
growth period t of crops according to influence coefficientGeneral assemblyCalculating, and prompting the third party through the reaping reminding unitAnd the data of the data reminding unit is reminded.
Example two: setting the growth period t =118.5 days of the crops in the previous season, and setting the average value of the temperature in the previous season=30.8 ℃, average humidity value=76.4%/RH, mean value of light intensity =1864.3Lux, mean wind speed(iii) mean rainfall of =12.6m/s=1.21 mm/day, average value of air pressure=1.05pa, average pH value=6.4;
Big data statistics, other values are the same, temperature average=30.5 ℃ crop growth cycle t1=119.2 days;
according to the formula:
,,,,,,respectively calculating the temperature, humidity, illumination intensity, wind speed, rainfall, air pressure and pH value to the growth period of cropsThe influence coefficient of (a);
giving a =2.33, b =2.09, c =0.049, d =0.106, e =2.02, f =10, g = 2.75;
the average of the measured temperatures is=30.2 ℃ and average humidity value of=76.2%/RH, average value of light intensity=1835.9Lux, average wind speed of=16.2m/s and an average rainfall value of=1.12 mm/day, average value of air pressure=1.04pa and a pH value of average=6.5;
Respectively calculating the influence of the difference value on the growth cycle:
tT=a*|30.8-30.2|=1.398;
tX=b*|76.4-76.2|=0.418;
tL=c*|1864.3-1835.9|=1.3916;
tS=d*|16.2-12.6|=0.3816;
tV=e*|1.12-1.21|=0.1818;
tP=f*|1.04-1.05|=0.1;
tJ=f*|6.5-6.4|=0.275;
tGeneral assembly=t+tT+tX+tL+tS+tV+tP+tJ
=118.5+1.398+0.418+1.3916+0.3816+0.1818+0.1+0.275
=122.6 days;
namely, the crops in the season are harvested most suitably in the growth period of about 122.6 days, and the most suitable weather is selected for harvesting according to the third-party data reminding unit.
It will be evident to those skilled in the art that the invention is not limited to the details of the foregoing illustrative embodiments, and that the present invention may be embodied in other specific forms without departing from the spirit or essential attributes thereof. The present embodiments are therefore to be considered in all respects as illustrative and not restrictive, the scope of the invention being indicated by the appended claims rather than by the foregoing description, and all changes which come within the meaning and range of equivalency of the claims are therefore intended to be embraced therein. Any reference sign in a claim should not be construed as limiting the claim concerned.
Claims (2)
1. The utility model provides an intelligent, automatic agricultural data acquisition system based on big data which characterized in that: the farmland data acquisition system comprises a data acquisition center, a data processing center, a data storage center, a data display center and a suggestion reminding unit;
the output end of the data acquisition center is electrically connected with the input end of the data processing center, and the output end of the data processing center is electrically connected with the input ends of the data storage center, the data display center and the suggestion reminding module;
The data processing center is used for calculating and processing the data acquired by the data acquisition center, evaluating the growth environment of crops and predicting the yield of the crops;
the data processing center comprises a central processing unit, a timer, a data conversion unit, a data comparison unit and a difference data extraction unit;
the output end of the central processing unit is electrically connected with the input ends of the timer, the data conversion unit, the data comparison unit and the difference data extraction unit;
the central processing unit is used for calculating and evaluating data acquired by the data acquisition center, the timer is used for recording the time of each data acquisition of the data acquisition center and the growth cycle of crops, the data conversion unit is used for converting the data processed by the central processing unit and converting the data into a chart form for display, the data comparison unit is used for comparing the environmental data of crops, the crop data and the yield in different regions and finding out the environmental factors influencing the crop yield and the environmental data most suitable for the crop growth, and the difference data extraction unit is used for extracting the data with larger difference to realize independent comparison;
The suggestion reminding module comprises a harvest reminding unit and a third-party data reminding unit, and the harvest reminding unit and the third-party data reminding unit are both electrically connected with the central processing unit;
the harvesting reminding unit is used for reminding workers of judging the crop maturity time, and the third-party data reminding unit is used for inputting predicted weather data and reminding the workers of future weather changes;
in the data acquisition center, the data detected by a temperature sensor is T, the data detected by a humidity sensor is X, the data detected by an illumination sensor is L, the data detected by a wind speed sensor is S, the data detected by a rainfall sensor is V, the data detected by an air pressure sensor is P, PH, the data detected by an infrared emitter and an infrared receiver is J, and the height of crops detected by the infrared emitter and the infrared receiver is H;
setting the time recorded by the timer as t as the growth period of the crops;
collecting data of i time points in the growth cycle of the crops respectively;
the temperature data collected by the temperature sensor is T1、T2、...、TiWherein, in the step (A),represents the average temperature of i time points;
the humidity data collected by the humidity sensor is X1、X2、...、XiWherein, in the step (A),represents the average humidity at i time points;
The illumination intensity data collected by the illumination sensor is L1、L2、...、LiWherein, in the step (A),represents the average illumination time of i time points;
the wind speed data collected by the wind speed sensor is S1、S2、...、SiWherein, in the step (A),represents the average wind speed at i time points;
the rainfall data collected by the rainfall sensor is V1、V2、...、ViWherein, in the step (A),represents the average rainfall of i time points;
the air pressure data collected by the air pressure sensor is P1、P2、...、PiWherein, in the step (A),represents the average air pressure at i time points;
the soil PH data collected by the PH sensor is J1、J2、...、JiWherein, in the step (A),represents the average PH at i time points;
the height data of the crops collected by the infrared transmitter and the infrared receiver is H1、H2、...、Hi;
The data pairThe comparison unit compares the data collected in the t time period of the crop growth cycle with the data stored in the storage database, the difference data extraction unit is used for extracting the data from the storage database, and the growth cycle t of the crop corresponding to the data is compared1In (1),t2In (1),t3In (1),t4In (1),t5In (1),t6In (1),t7In (1)Carrying out calling comparison;
wherein the content of the first and second substances,、、、、、、respectively representing the temperature, humidity, illumination intensity, wind speed, rainfall, air pressure and PH value which are most suitable for the growth of crops;
according to the formula:
,,,,,,respectively calculating the influence coefficients of temperature, humidity, illumination intensity, wind speed, rainfall, air pressure and pH value on the growth cycle of crops;
Growth period t of crops according to influence coefficientGeneral assemblyCalculating and reminding through the data of the harvest reminding unit and the third-party data reminding unit;
the data acquisition center is used for acquiring environment data of a farmland and growth data of crops, judging the growth progress of the crops and serving as a judgment and calculation basis of the crop yield;
the data acquisition center comprises an environment data acquisition unit and a crop data acquisition unit, the output ends of the environment data acquisition unit and the crop data acquisition unit are electrically connected with the input end of the data processing center, the environment data acquisition unit is used for acquiring growth environment data of crops, and the crop data acquisition unit is used for acquiring growth data of the crops;
the environment data acquisition comprises a temperature sensor, a humidity sensor, an illumination sensor, a wind speed sensor, a rainfall sensor, an air pressure sensor and a PH value sensor;
the output ends of the temperature sensor, the humidity sensor, the illumination sensor, the wind speed sensor, the rainfall sensor, the air pressure sensor and the PH value sensor are electrically connected with the input end of the data processing center;
the temperature sensor is used for detecting the temperature of a crop growth environment in real time, the humidity sensor is used for detecting the humidity of the crop growth environment in real time, the illumination sensor is used for detecting the illumination time and the illumination intensity of the crop growth environment, the wind speed sensor is used for detecting the wind speed of the crop growth environment in real time, the rainfall sensor is used for detecting the wind speed of the crop growth environment in real time, the air pressure sensor is used for detecting the atmospheric pressure of the crop growth environment in real time, and the PH sensor is used for detecting the PH value of the soil for crop growth in real time;
The crop data acquisition comprises an infrared transmitter, an infrared receiver and a GPS positioning module;
the output ends of the infrared transmitter, the infrared receiver and the GPS positioning module are electrically connected with the input end of the data processing center;
the infrared emitter is arranged in the first detection rod, the infrared emitter is used for emitting infrared signals, the infrared receiver is arranged in the second detection rod, the infrared receiver is used for saving the infrared signals emitted by the infrared emitter and is used for measuring the growth height value of crops in real time, a plurality of through holes are formed in one side of the first detection rod and one side of the second detection rod at equal distances, and the GPS positioning module is used for determining the position of a farmland and used as the basis for judging the yield of the crops;
the data storage center is used for storing the data collected by the data collection center and the data processed by the data processing center;
the data storage center comprises a storage database, a data calling unit and a data storage unit;
the data storage unit is electrically connected with the central processing unit, the output end of the data storage unit is electrically connected with the input end of the storage database, and the output end of the data calling unit is electrically connected with the input end of the storage database;
The storage database is used for storing data, the data calling unit is used for calling related data from the storage database, and the data storage unit is used for storing the acquired and calculated data into the storage database.
2. The intelligent and automated agricultural data collection system based on big data according to claim 1, wherein: the data display center comprises a data display screen, and the data display screen is electrically connected with the central processing unit;
the data display screen is used for displaying the data converted by the data conversion unit and the data processed by the central processing unit, so that the growth environment data of the crops can be known more intuitively.
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CN113155188A (en) * | 2021-04-15 | 2021-07-23 | 浙江天演维真网络科技股份有限公司 | Trend analysis method based on big data and crop growth environment model |
CN113238001A (en) * | 2021-05-06 | 2021-08-10 | 新疆农业科学院农业机械化研究所 | Plant growth monitoring system |
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CN112116206A (en) * | 2020-08-21 | 2020-12-22 | 淮北市盛世昊明科技服务有限公司 | Intelligent agricultural system based on big data |
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