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Multi-sensor data fusion method applied to smart agriculture

A multi-sensor, data fusion technology, applied in the field of agriculture, can solve problems such as lack of scientific guidance, achieve the effect of improving data analysis effect, simplifying analysis system, and improving utilization rate

Inactive Publication Date: 2022-02-25
YIBIN UNIV
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AI Technical Summary

Problems solved by technology

[0002] At present, most of my country's agricultural production mainly relies on manual experience and careful management, lacking systematic scientific guidance

Method used

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  • Multi-sensor data fusion method applied to smart agriculture
  • Multi-sensor data fusion method applied to smart agriculture
  • Multi-sensor data fusion method applied to smart agriculture

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Embodiment Construction

[0044] The first aspect of this part introduces:

[0045] A multi-sensor data fusion method applied to smart agriculture, including the following steps

[0046] (I) data collection:

[0047] Collect the data of j sensors, and each sensor in the same time phase forms a simultaneous sensor data group, denoted as Xt0=(X1, X2...Xj);

[0048] (II) Sensor data level fusion:

[0049] The data of k different time phases measured by any sensor are divided into two groups according to the order of acquisition time, recorded as P1=(x1,x3,x5,x7...xk1), P2=(x2,x4,x6,x8 ...xk2),

[0050] Calculate the weighted average values ​​E1 and E2 of the two groups of data of P1 and P2,

[0051] Calculate the variance σ of the two sets of data in P1 and P2 1 2 ,σ 2 2 ,

[0052] Update the variance combination according to formula 1

[0053]

[0054] Update the fused data E according to formula 2, and the data E is the sensor value Ej after weighted average in batches

[0055]

[0056]...

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Abstract

The invention relates to a multi-sensor data fusion method applied to smart agriculture, and the method comprises the following steps: collecting the data of j sensors, forming a sensor simultaneous data set by the sensors in the same time phase, and recording the data set as Xt0 = (X1, X2... Xj); dividing k data of different time phases measured by any sensor sequentially into two groups according to an acquisition time sequence, recording the two groups as P1 = (x1, x3, x5, x7... xk1) and P2 = (x2, x4, x6, x8... xk2), calculating weighted average values E1 and E2 of the two groups of data P1 and P2, calculating variance of the two groups of data P1 and P2, performing variance combination updating according to a formula 1, performing updating fusion according to a formula 2 to obtain data E, where the data E is a sensor numerical value Ej after batch weighted average; and (III-1), adjusting the soil moisture difference, and obtaining the soil moisture Ei according to a formula 3. The data mining technology is adopted to deeply analyze and mine the data, and the utilization rate of the agricultural data is improved. According to the invention, the data can be comprehensively analyzed, the data analysis effect is improved, the analysis system is simplified, and the agricultural analysis capability is improved.

Description

technical field [0001] The invention belongs to the technical field of agriculture, and in particular relates to a multi-sensor data fusion method applied to intelligent agriculture. Background technique [0002] At present, most of my country's agricultural production mainly relies on manual experience and careful management, lacking systematic scientific guidance. The development of protected cultivation technology has a profound impact on the process of agricultural modernization. Protected cultivation has played an important role in promoting the adjustment of agricultural structure, and greenhouse cultivation has occupied an important position in agricultural production. To realize high-level facility agricultural production and optimize facility biological environment control, means of information acquisition is one of the most important key technologies. [0003] As the high integration of the three foundations of modern information technology (sensor technology, co...

Claims

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Application Information

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IPC IPC(8): G06V10/80G06K9/62G06Q50/02
CPCG06Q50/02G06F18/25
Inventor 杨强罗平张桃胡隆河
Owner YIBIN UNIV
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