A soil moisture fusion method based on bayesian maximum entropy

A technology of soil moisture and fusion methods, applied in the fields of instruments, character and pattern recognition, data processing applications, etc., can solve the problems of different expressions, increase the risk of irrigation decision-making, reliability, and uncertainty.

Active Publication Date: 2019-03-12
FARMLAND IRRIGATION RES INST CHINESE ACAD OF AGRI SCI
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AI Technical Summary

Problems solved by technology

Since the various irrigation information collected by the sensor is different in space, time, expression, reliability, uncertainty, focus and purpose, if it is not used without screening, it may increase the risk of irrigation decision-making

Method used

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  • A soil moisture fusion method based on bayesian maximum entropy
  • A soil moisture fusion method based on bayesian maximum entropy
  • A soil moisture fusion method based on bayesian maximum entropy

Examples

Experimental program
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Embodiment 1

[0061] like figure 1 As shown, a Bayesian maximum entropy-based soil moisture fusion method includes the following steps:

[0062] S101, during the growth period of winter wheat, collect soil moisture information with an earth drill every 7 days, and obtain soil moisture content by borrowing and drying method, and the sampling depths are respectively 0-20cm, 20cm-40cm, 40cm-60cm, 60cm-80cm, 80cm-100cm.

[0063] S102. Use the geostatistical analysis method to deploy soil moisture sensors to monitor changes in soil moisture in real time. The geostatistical analysis method is based on the theory of regional variables and uses the variation function as the main tool to study the spatial distribution of soil moisture.

[0064] S103. Using Field Spec Handheld Spectrometer (product of ASD Company, spectral range 350 nm-1075 nm; resolution 3.5 nm, sampling interval 1.6 nm, field of view 25°) to collect the canopy layer of winter wheat from jointing stage to milk maturity stage Spec...

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Abstract

The invention relates to a soil moisture fusion method based on Bayesian maximum entropy, which makes full use of soil moisture obtained by artificial soil sampling, real-time monitoring soil moistureby a sensor (EC-5) and the information of soil moisture retrieved from hyperspectral data, Applied Data Fusion Technology, the data of soil moisture from three different sources were fused, so as toobtain the distribution of soil moisture at the regional scale, Eliminate redundancy and contradiction between information, reduce uncertainty of irrigation decision-making information and fuzzy degree of decision-making reasoning, improve the accuracy of irrigation decision-making, provide irrigation decision-making opinions and suggestions for government drought relief work, guide irrigation district water management departments to carry out scientific allocation of water resources.

Description

technical field [0001] The invention relates to a soil moisture fusion method based on Bayesian maximum entropy. Background technique [0002] At present, the shortage of water resources has become a worldwide problem, and the safe, efficient and rational use of water resources has become the focus of global attention. [0003] To achieve precision irrigation, fast and accurate information acquisition is the foundation, and timely and scientific irrigation decision-making is the core. In recent years, with the development of refined, intensified, information-based agriculture and digital earth, various high-tech and high-precision sensors have been widely used in the agricultural field, making the information sources for irrigation decisions more extensive and abundant, and irrigation decision-making information forms of expression are more diverse. Because each sensor has its own characteristics, usually a sensor can only reflect the suitability of crop moisture from a ce...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/62G06Q50/02
CPCG06Q50/02G06F18/217G06F18/251
Inventor 陈智芳王景雷孙景生宋妮
Owner FARMLAND IRRIGATION RES INST CHINESE ACAD OF AGRI SCI
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