Node used for acquiring distributed type leaf area index hemispherical images

A technology of leaf area index and image acquisition, which is applied in the direction of analyzing materials, material analysis by optical means, measuring devices, etc., can solve problems such as fisheye misalignment errors, etc. Effect

Inactive Publication Date: 2017-05-31
DONGHUA UNIV +1
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  • Description
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  • Application Information

AI Technical Summary

Problems solved by technology

Due to the limitations of the CCD and the lens group in the lens of the low-cost image acqu

Method used

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  • Node used for acquiring distributed type leaf area index hemispherical images
  • Node used for acquiring distributed type leaf area index hemispherical images

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Embodiment Construction

[0024] In order to make the present invention more comprehensible, preferred embodiments are described in detail below with accompanying drawings.

[0025] The invention relates to a node capable of automatically and distributedly collecting canopy hemisphere images used for calculating leaf area index. The node can automatically collect the hemispherical image of the plant canopy, and can collect wind speed, sunlight and temperature and humidity data for the judgment of image validity. After the collection and judgment are completed, the collected pictures can also be sent to the host computer through the 3G network. The node is composed of core processing part, 3G communication part, hemispheric image acquisition part, wind speed sensor, solar radiation sensor, temperature, humidity and condensation sensor and power supply part.

[0026] The core part of the system selects low-power embedded processing chips and interface chips, which are responsible for the management of n...

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Abstract

The invention relates to a node used for acquiring distributed type leaf area index hemispherical images. The node is characterized by comprising a core processing part, a wireless communication part, a hemispherical image acquiring part, a wind speed sensor, a sunlight irradiation sensor, a temperature and humidity sensor and a condensation sensor. The invention discloses a system for remotely acquiring the distributed type leaf area index hemispherical images. The system is used for acquiring plant canopy images by adopting a mode of combining an embedded type platform with a low-cost fish-eye lens, and is used for monitoring wind direction, sunlight, temperature and humidity data to determine effectiveness of the images. Canopy images and the monitored data are transmitted to an upper computer through the node via a 3G data channel, so that the upper computer performs analysis and processing.

Description

technical field [0001] The invention relates to a system that can be used for distributed collection of leaf area index hemispheric images. The system can automatically collect hemispherical images that can be used for leaf area index calculations, record wind direction, sunshine and temperature and humidity data, and send them to the upper position through the 3G network machine. Background technique [0002] Vegetation canopy is the most important part of vegetation for photosynthesis. By measuring the structural parameters of vegetation canopy, the interception rate of solar radiation, photosynthetic effect, and the temporal and spatial distribution of light under the canopy can be evaluated. Among many canopy structure parameters, Leaf Area Index (LAI), which is used to represent the total leaf area per unit area of ​​vegetation canopy, is the most important. The measurement methods of LAI can be divided into direct method and indirect method. The direct method of cano...

Claims

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Application Information

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IPC IPC(8): G01N21/84G01D21/02H04N7/18
Inventor 韩芳万雪芬杨义
Owner DONGHUA UNIV
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