CN112506111A - Crop growth monitoring method and system based on big data and cloud computing - Google Patents
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Abstract
The invention discloses a crop growth monitoring method and system based on big data and cloud computing, and the crop growth monitoring method and system based on big data and cloud computing comprise an information acquisition unit, an intelligent cloud platform database, a cloud computing analysis processing unit, an execution monitoring unit and an execution result feedback unit, wherein the information acquisition unit comprises a regional ecological environment acquisition module and a crop growth condition acquisition module, the intelligent cloud platform database is a big data processing control system based on a cloud platform and is used for storing received crop growth information data, and the cloud computing analysis processing unit is used for analyzing and processing various types of information data of crops stored in the intelligent cloud platform database. According to the crop growth monitoring method and system based on big data and cloud computing, crop growth is monitored in real time, crop planting modes are guided by utilizing big data cloud computing, and the continuous yield increase of crops is promoted by feeding back data results through transverse and longitudinal comparison.
Description
Technical Field
The invention relates to the technical field of crop growth, in particular to a crop growth monitoring method and system based on big data and cloud computing.
Background
With the rapid development of scientific technology and the improvement of the living standard of people, how to promote the yield increase of crops is one of the power factors of the current agricultural development, meanwhile, in order to ensure the continuous high-yield production of crops, the growth vigor of crops needs to be monitored in real time, the growth vigor of crops refers to the growth condition and trend of crops, the internet and the agriculture are combined, the growth situation of crops is monitored in real time through the large data analysis and calculation of a cloud platform, the growth situation of crops is mastered in time, whether the crops have conditions to obtain a matched ecological environment or not is known, and meanwhile, the information situation of sudden plant diseases and insect pests in the nature is known, so that the crop planting mode is adjusted according to the actual situation, however, the existing monitoring method and the system for the growth situation of crops have the:
when the existing crop growth monitoring method and system monitor the crop growth, the ecological environment where crops are located and self growth condition information data are inconvenient to integrate, so that the influence is easily caused when the crop planting mode is guided, the transverse comparison of the same batch and different types of crops is mostly not carried out, and the longitudinal comparison with different growth periods in the previous period is carried out, so that the feedback information is not comprehensive, the spiral ascending management is inconvenient to form, and the influence on the continuous yield increase of the crops is easily caused.
Therefore, a crop growth monitoring method and system based on big data and cloud computing are provided so as to solve the problems set forth above.
Disclosure of Invention
The invention aims to provide a crop growth monitoring method and system based on big data and cloud computing, and aims to solve the problems that the existing crop growth monitoring method and system in the market at present cannot integrate the ecological environment of crops and the growth condition information data of the crops, and most of the crops are not subjected to transverse and longitudinal comparative analysis, so that spiral ascending management cannot be conveniently formed, and the continuous yield increase of the crops is easily influenced.
In order to achieve the purpose, the invention provides the following technical scheme: a crop growth monitoring system based on big data and cloud computing comprises an information acquisition unit, an intelligent cloud platform database, a cloud computing analysis and processing unit, an execution monitoring unit and an execution result feedback unit;
the information acquisition unit comprises a regional ecological environment acquisition module and a crop growth condition acquisition module, and is used for acquiring macro environment and micro environment information in the crop growth process and comprehensively acquiring the internal and external information of crops;
the intelligent cloud platform database is a big data processing control system based on a cloud platform and is used for storing the received crop growth information data,
the cloud computing analysis and processing unit analyzes and processes various information data of crops stored in the intelligent cloud platform database, and meanwhile, on the basis of a green plant spectrum theory, the whole growth information of the crops is reflected through remote sensing monitoring, and the future growth condition of the crops is predicted;
the execution monitoring unit comprises agricultural production automation equipment and monitoring equipment, automatic management of crop production is realized through the agricultural production automation equipment, each growth cycle of crops is monitored, data of different growth cycles of the crops are recorded in real time, the data are synchronously stored in an intelligent cloud platform database, and meanwhile, dynamic information of diseases, pests and weeds is timely issued to a user;
the execution result feedback unit integrates crop growth data, carries out contrastive analysis with current crop growth data in the intelligent cloud platform database, reflects crop growth problems through data contrast, and feeds back formed corresponding coping strategies to users.
Preferably, the regional ecological environment acquisition module comprises a temperature sensor, a humidity sensor, a soil nutrient detector, a light intensity measuring instrument and a CO2 sensor, and data are stored and recorded among the sensors in real time so as to ensure timeliness and effectiveness of data information.
Preferably, the crop growth condition acquisition module comprises crop overall growth characteristics and crop individual growth characteristics, the crop overall growth characteristics are acquired through a crop growth remote sensing monitoring system, and the crop individual growth characteristics are monitored through a short-distance monitoring device.
Preferably, the agricultural production automation equipment comprises an intelligent water and fertilizer integrated machine, an intelligent greenhouse control system and pest and disease disaster early warning equipment.
Preferably, the execution result feedback unit longitudinally compares the crops with the data of the same crops in different growth cycles in the previous period, transversely compares the crops of different varieties in the same batch, and summarizes the comparison results.
A crop growth monitoring method based on big data and cloud computing comprises the following steps:
the first step is as follows: the method comprises the steps that detection instruments such as a temperature sensor, a humidity sensor and a soil nutrient detector are used for collecting growth environment information of crops at regular time, the crop growth trend remote sensing monitoring system and the close range monitoring equipment are used for collecting and sorting the integral growth characteristics of the crops and the individual growth characteristics of the crops, and various kinds of information are synchronously stored in an intelligent cloud platform information management system;
the second step is that: the intelligent cloud platform information management system integrates and analyzes various kinds of information, predicts future growth conditions of crops by combining growth cycle rules of the crops, and predicts crop yield;
the third step: the intelligent cloud platform information management system monitors the growth condition of crops in real time and remotely controls the intelligent water and fertilizer all-in-one machine and the intelligent greenhouse control system;
the fourth step: integrating and analyzing the crop growth data, comparing the integrated and analyzed crop growth data with the current crop growth data in the intelligent cloud platform, feeding back the influence of the monitoring system on the crop growth, generating a summary improvement report, and forming spiral ascending type management;
preferably, the overall growth characteristics of the crop include, but are not limited to, the number of plants per unit area of the crop, the coverage rate, and the leaf area index data.
Preferably, the individual growth characteristics of the crops include, but are not limited to, the height of the crop plants, the color of leaves and the growth speed, and the data are saved in the intelligent cloud platform database in real time.
Compared with the prior art, the invention has the beneficial effects that: according to the crop growth monitoring method and system based on big data and cloud computing, information data of crop growth environment and crop growth conditions are collected in real time, the collected data are stored through an intelligent cloud platform database, the data are analyzed and integrated through a cloud computing analysis processing unit, agricultural automation equipment is controlled through an execution monitoring unit, crops are irrigated and fertilized in time, longitudinal comparison is carried out through the crop growth states in different growth periods in the previous period, meanwhile, different crops in the same batch are transversely compared, the compared data are analyzed, crop growth problems are reflected, corresponding coping strategies are formed, the coping strategies are fed back to users, spiral ascending management is formed, and continuous yield increase of the crops is guaranteed.
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FIG. 1 is a schematic view of the overall flow structure of the present invention;
fig. 2 is a schematic structural diagram of a regional ecological environment acquisition module of the 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.
A crop growth monitoring system based on big data and cloud computing comprises: the system comprises an information acquisition unit, an intelligent cloud platform database, a cloud computing analysis processing unit, an execution monitoring unit and an execution result feedback unit;
the information acquisition unit comprises a regional ecological environment acquisition module and a crop growth condition acquisition module, and is used for acquiring macro environment and micro environment information in the crop growth process and comprehensively acquiring the internal and external information of crops;
the intelligent cloud platform database is a big data processing control system based on a cloud platform and is used for storing the received crop growth information data,
the cloud computing analysis and processing unit analyzes and processes various information data of crops stored in the intelligent cloud platform database, and meanwhile, on the basis of a green plant spectrum theory, the whole growth information of the crops is reflected through remote sensing monitoring, and the future growth condition of the crops is predicted;
the execution monitoring unit comprises agricultural production automation equipment and monitoring equipment, automatic management of crop production is realized through the agricultural production automation equipment, each growth cycle of crops is monitored, data of different growth cycles of the crops are recorded in real time, the data are synchronously stored in an intelligent cloud platform database, and meanwhile, dynamic information of diseases, pests and weeds is timely issued to a user;
the execution result feedback unit integrates crop growth data, carries out contrastive analysis with current crop growth data in the intelligent cloud platform database, reflects crop growth problems through data contrast, and feeds back formed corresponding coping strategies to users.
The regional ecological environment acquisition module comprises a temperature sensor, a humidity sensor, a soil nutrient detector, an illumination intensity measuring instrument and a CO2 sensor, and data are stored and recorded among the sensors in real time to ensure the timeliness and effectiveness of data information, so that crops can be treated;
the crop growth condition acquisition module comprises crop overall growth characteristics and crop individual growth characteristics, the crop overall growth characteristics are acquired through a crop growth remote sensing monitoring system, and the crop individual growth characteristics are monitored through close-range monitoring equipment;
the agricultural production automation equipment comprises an intelligent water and fertilizer integrated machine, an intelligent greenhouse control system and pest and disease disaster early warning equipment;
the execution result feedback unit longitudinally compares the crops with the data of the same crops in different growth cycles in the previous period, transversely compares the crops of different types in the same batch, and summarizes the comparison results.
A crop growth monitoring method based on big data and cloud computing is characterized in that: the method comprises the following steps:
the first step is as follows: the method comprises the steps that detection instruments such as a temperature sensor, a humidity sensor and a soil nutrient detector are used for collecting growth environment information of crops at regular time, the crop growth trend remote sensing monitoring system and the close range monitoring equipment are used for collecting and sorting the integral growth characteristics of the crops and the individual growth characteristics of the crops, and various kinds of information are synchronously stored in an intelligent cloud platform information management system;
the second step is that: the intelligent cloud platform information management system integrates and analyzes various kinds of information, predicts future growth conditions of crops by combining growth cycle rules of the crops, and predicts crop yield;
the third step: the intelligent cloud platform information management system monitors the growth condition of crops in real time and remotely controls the intelligent water and fertilizer all-in-one machine and the intelligent greenhouse control system;
the fourth step: and performing integrated analysis on the crop growth data, comparing the integrated analysis with the current crop growth data in the intelligent cloud platform, feeding back the influence of the monitoring system on the crop growth, generating a summary improvement report, and forming spiral rising type management.
Crop overall growth characteristics include, but are not limited to, crop unit area plant number, coverage, leaf area index data;
crop individual growth characteristics include, but are not limited to, crop plant height, leaf color, growth rate, and this data is saved in real time to the smart cloud platform database.
Those not described in detail in this specification are within the skill of the art.
Although the present invention has been described in detail with reference to the foregoing embodiments, it will be apparent to those skilled in the art that various changes in the embodiments and/or modifications of the invention can be made, and equivalents and modifications of some features of the invention can be made without departing from the spirit and scope of the invention.
Claims (8)
1. The utility model provides a crops growth monitoring system based on big data and cloud calculate which characterized in that: this crop growth monitoring system based on big data and cloud calculate includes: the system comprises an information acquisition unit, an intelligent cloud platform database, a cloud computing analysis processing unit, an execution monitoring unit and an execution result feedback unit;
the information acquisition unit comprises a regional ecological environment acquisition module and a crop growth condition acquisition module, and is used for acquiring macro environment and micro environment information in the crop growth process and comprehensively acquiring the internal and external information of crops;
the intelligent cloud platform database is a big data processing control system based on a cloud platform and is used for storing the received crop growth information data,
the cloud computing analysis and processing unit analyzes and processes various information data of crops stored in the intelligent cloud platform database, and meanwhile, on the basis of a green plant spectrum theory, the whole growth information of the crops is reflected through remote sensing monitoring, and the future growth condition of the crops is predicted;
the execution monitoring unit comprises agricultural production automation equipment and monitoring equipment, automatic management of crop production is realized through the agricultural production automation equipment, each growth cycle of crops is monitored, data of different growth cycles of the crops are recorded in real time, the data are synchronously stored in an intelligent cloud platform database, and meanwhile, dynamic information of diseases, pests and weeds is timely issued to a user;
the execution result feedback unit integrates crop growth data, carries out contrastive analysis with current crop growth data in the intelligent cloud platform database, reflects crop growth problems through data contrast, and feeds back formed corresponding coping strategies to users.
2. The big data and cloud computing based crop growth monitoring system according to claim 1, wherein: the regional ecological environment acquisition module comprises a temperature sensor, a humidity sensor, a soil nutrient detector, an illumination intensity measuring instrument and a CO2 sensor, and data are stored and recorded in real time among the sensors to ensure timeliness and effectiveness of data information.
3. The big data and cloud computing based crop growth monitoring system according to claim 1, wherein: the crop growth condition acquisition module comprises crop overall growth characteristics and crop individual growth characteristics, the crop overall growth characteristics are acquired through a crop growth remote sensing monitoring system, and the crop individual growth characteristics are monitored through close-range monitoring equipment.
4. The big data and cloud computing based crop growth monitoring system according to claim 1, wherein: agricultural production automation equipment includes intelligent liquid manure all-in-one, intelligent greenhouse control system and plant diseases and insect pests calamity early warning equipment.
5. The big data and cloud computing based crop growth monitoring system according to claim 1, wherein: the execution result feedback unit longitudinally compares the crops with the data of the same crops in different growth cycles in the previous period, transversely compares the crops of different types in the same batch, and summarizes the comparison results.
6. A crop growth monitoring method based on big data and cloud computing is characterized in that: the method comprises the following steps:
the first step is as follows: the method comprises the steps that detection instruments such as a temperature sensor, a humidity sensor and a soil nutrient detector are used for collecting growth environment information of crops at regular time, the crop growth trend remote sensing monitoring system and the close range monitoring equipment are used for collecting and sorting the integral growth characteristics of the crops and the individual growth characteristics of the crops, and various kinds of information are synchronously stored in an intelligent cloud platform information management system;
the second step is that: the intelligent cloud platform information management system integrates and analyzes various kinds of information, predicts future growth conditions of crops by combining growth cycle rules of the crops, and predicts crop yield;
the third step: the intelligent cloud platform information management system monitors the growth condition of crops in real time and remotely controls the intelligent water and fertilizer all-in-one machine and the intelligent greenhouse control system;
the fourth step: and performing integrated analysis on the crop growth data, comparing the integrated analysis with the current crop growth data in the intelligent cloud platform, feeding back the influence of the monitoring system on the crop growth, generating a summary improvement report, and forming spiral rising type management.
7. The big data and cloud computing based crop growth monitoring system according to claim 6, wherein: the overall growth characteristics of the crops include but are not limited to the number of plants per unit area of the crops, the coverage rate and the leaf area index data.
8. The big data and cloud computing based crop growth monitoring system according to claim 6, wherein: the crop individual growth characteristics comprise but are not limited to crop plant height, leaf color and growth speed, and the data are stored into the intelligent cloud platform database in real time.
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| CN113485196A (en) * | 2021-07-21 | 2021-10-08 | 浙江树人学院（浙江树人大学） | Garden flower intelligent cultivation system based on cloud computing |
| CN113597941A (en) * | 2021-09-03 | 2021-11-05 | 新疆农业科学院农业机械化研究所 | Greenhouse intelligent environment regulation and control system and device |
| CN114258793A (en) * | 2021-12-29 | 2022-04-01 | 湖南省林业科学院 | Chemical prevention and control evaluation system and method for moso bamboo expansion |
| CN114946377A (en) * | 2022-04-21 | 2022-08-30 | 潍柴雷沃重工股份有限公司 | Grass growth state monitoring method and system of mower |
| CN117079130A (en) * | 2023-08-23 | 2023-11-17 | 广东海洋大学 | Intelligent information management method and system based on mangrove habitat |
| CN117557400A (en) * | 2024-01-12 | 2024-02-13 | 中国科学院地球环境研究所 | Tree growth intelligent monitoring system based on cloud computing platform |
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| CN117079130A (en) * | 2023-08-23 | 2023-11-17 | 广东海洋大学 | Intelligent information management method and system based on mangrove habitat |
| CN117079130B (en) * | 2023-08-23 | 2024-05-14 | 广东海洋大学 | Intelligent information management method and system based on mangrove habitat |
| CN117557400A (en) * | 2024-01-12 | 2024-02-13 | 中国科学院地球环境研究所 | Tree growth intelligent monitoring system based on cloud computing platform |
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