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Monitoring method and system for massive farmland data

A farmland and data technology, applied in the computer field, can solve problems such as inability to complete huge data, difficulty in integrating, analyzing and sharing information, rich data and poor knowledge

Active Publication Date: 2017-11-07
CHINA STANDARD SOFTWARE
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The current farmland data system can efficiently realize data entry, query, and statistical functions, but it cannot predict based on existing data, and cannot discover the relationship between data, and data mining technology can discover the relationship between data, so it can solve agricultural problems. The phenomenon of "data rich knowledge poor" in the field
The traditional decision tree algorithm is popular because of its fast construction speed, simple generation model, and high precision. It is an important classification method in data mining. Data calculation must be in memory at the same time, and can only be run on a single machine, so it can only be applied to small-scale data input. When the object of data mining is a huge data set, the speed often slows down due to the increase in the amount of calculation. Slow or even impossible to run, greatly affecting the scalability of the algorithm, which is the bottleneck of the algorithm
[0005] To sum up, the existing farmland data analysis methods cannot complete the calculation of huge data, making the farmland information collection systems independent of each other, closed operation, and difficult to integrate, analyze and share information. How to effectively integrate and analyze data is the key to the current agricultural information important issues in the process of

Method used

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  • Monitoring method and system for massive farmland data
  • Monitoring method and system for massive farmland data
  • Monitoring method and system for massive farmland data

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0055] figure 1 It is a flowchart of a method for monitoring massive farmland data according to an embodiment of the present invention, and the method includes steps S102 to S106.

[0056] S102, collecting farmland data of different attributes in real time through the miniature wireless sensor nodes.

[0057] S104. Calculate the degree of influence of farmland data with different attributes on the farmland by means of cloud computing as a calculation result.

[0058] S106, displaying the calculation result to the user through the network.

[0059] The embodiment of the present invention provides a monitoring method for massive farmland data. The method calculates the degree of influence of farmland data with different attributes on the farmland through cloud computing, solves the problem of computational efficiency for massive farmland data, and expands the data The input scale improves the mining efficiency of farmland data.

Embodiment 2

[0061]This embodiment is a specific application scenario of the first embodiment above. Through this embodiment, the method provided by the present invention can be described more clearly and specifically.

[0062] figure 2 It is a flowchart of a specific monitoring method for massive farmland data according to an embodiment of the present invention, and the method includes steps S201 to S209. The method is described in detail below:

[0063] S201. The miniature wireless sensor nodes collect farmland data of different attributes in real time, and send the farmland data to a data processing server.

[0064] In this embodiment, the miniature wireless sensor nodes are used as farmland environment sensing terminals to collect farmland data of different attributes.

[0065] Such as image 3 As shown, it is a schematic diagram of the architecture of a monitoring system for massive farmland data provided by this embodiment. In the monitoring system, for the farmland area, a plura...

Embodiment 3

[0136] Figure 7 It is a structural block diagram of a massive farmland data monitoring system provided by an embodiment of the present invention. The device 700 includes:

[0137] The data acquisition module 701 is configured to collect farmland data in real time through the miniature wireless sensor nodes;

[0138] The data processing center module 702 is configured to calculate the degree of influence of farmland data with different attributes on the farmland by means of cloud computing as the calculation result;

[0139] The display module 703 is configured to display the calculation result to the user through the network.

[0140] Optionally, the data processing center module 702 includes:

[0141] The data receiving unit 7021 is configured to receive farmland data of different attributes;

[0142] The decision analysis unit 7022 is configured to send the calculation tasks of farmland data with different attributes to different processors on the cloud platform, perform...

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Abstract

The invention provides a monitoring method and system for massive farmland data, belonging to the technical field of computers. The method for monitoring massive farmland data includes: collecting farmland data of different attributes in real time through micro wireless sensor nodes; calculating the degree of influence of farmland data of different attributes on the farmland through cloud computing and using it as the calculation result; displaying the calculation results through the network to the user. This method calculates the impact of farmland data with different attributes on farmland through cloud computing, solves the problem of computing efficiency for massive farmland data, expands the scale of data input, and improves the mining efficiency of farmland data.

Description

technical field [0001] The invention relates to the field of computer technology, in particular to a monitoring method and system for massive farmland data. Background technique [0002] my country is a large agricultural country with a vast territory, numerous soil types, and complex crop varieties. my country has conducted many agricultural censuses, and scientific and technological personnel have accumulated a large amount of attribute data and spatial data closely related to agricultural production through various methods. These data have multidimensional , dynamic, uncertain, incomplete, strong spatio-temporal variability and other characteristics, which can specifically reflect the real situation of agricultural production operations. Sensors are a common method for agricultural scientists to collect field information and obtain data. In addition to the above characteristics, these data also have the characteristics of a large number, concentration and persistence. The...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F17/30
Inventor 史众薛文宋潇豫张永军
Owner CHINA STANDARD SOFTWARE
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