Crop growth situation monitoring Internet of Things system based on visual inspection

A technology for monitoring the Internet of Things and visual inspection, applied in image data processing, instruments, calculations, etc., can solve problems such as difficult to improve work efficiency, high work intensity, time-consuming and labor-intensive, and achieve low labor intensity, wide monitoring range, and flexibility high degree of effect

Inactive Publication Date: 2016-05-11
HEFEI INSTITUTES OF PHYSICAL SCIENCE - CHINESE ACAD OF SCI
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  • Claims
  • Application Information

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Problems solved by technology

[0003] At present, the monitoring of the growth status of crops is mostly realized through on-the-spot observation by the staff. In this way, the work intensity is high, time-consuming and labor-intensive, and it is difficult to improve work efficiency.

Method used

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  • Crop growth situation monitoring Internet of Things system based on visual inspection
  • Crop growth situation monitoring Internet of Things system based on visual inspection
  • Crop growth situation monitoring Internet of Things system based on visual inspection

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Embodiment Construction

[0033] refer to figure 1 , a visual detection-based crop growth monitoring Internet of Things system proposed by the present invention includes an image acquisition subsystem, a plant height monitoring subsystem, a lodging monitoring subsystem, a leaf area index monitoring subsystem and a comprehensive evaluation module.

[0034] The image acquisition subsystem includes an image acquisition module and an image cache module. The image acquisition module is used to collect images of crops in real time from multiple angles and send them to the image cache module for storage. The image acquisition module is connected with the plant height monitoring subsystem and the lodging monitoring subsystem respectively. It is connected with the leaf area index monitoring subsystem.

[0035] The plant height monitoring subsystem obtains the crop image containing the height reference mark from the image cache module, and judges the height of the crop according to the distance between the top o...

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Abstract

The invention discloses a crop growth situation monitoring Internet of Things system based on visual inspection. The crop growth situation monitoring Internet of Things system comprises a plant height monitoring subsystem, a lodging monitoring subsystem and a leaf area index monitoring subsystem. The plant height monitoring subsystem is used for obtaining the relative distance between a crop and a height reference mark by setting the preset height reference mark and then obtaining the actual height of the crop according to the mapping relationship between the relative height and the actual crop height. The lodging monitoring subsystem is used for carrying out ashing processing, Gaussian Blur processing and binarization processing on an original image in sequence and then calculating a lodging image and further calculating the lodging rate according to the result of binarization processing. The improvement on precision and efficiency is facilitated through an automatic image analysis manner. The leaf area index monitoring subsystem is used for calculating the comprehensive coverage degree in combination with the green coverage degree of multiple images after the green coverage degree is obtained and calculating the leaf area index according to the comprehensive coverage degree and the plant height.

Description

technical field [0001] The invention relates to the technical field of crop monitoring, in particular to an Internet of Things system for monitoring crop growth conditions based on vision detection. Background technique [0002] As a large agricultural country, China has a very wide range of crops, and at the same time, various researches on improving crops are emerging in an endless stream. In order to ensure the growth status of crops and provide reasonable care, real-time monitoring of crops is very important, especially for trial-production crops in experimental fields, real-time monitoring is required to obtain detailed data as an experimental basis. [0003] At present, the monitoring of the growth status of crops is mostly realized through on-the-spot observation by staff members. In this way, the work is intensive, time-consuming and laborious, and it is difficult to improve work efficiency. Contents of the invention [0004] Based on the technical problems existi...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/40
CPCG06T2207/10004G06T2207/20076G06T2207/30188
Inventor 李伟徐海明王儒敬宋良图王宁孔斌严曙
Owner HEFEI INSTITUTES OF PHYSICAL SCIENCE - CHINESE ACAD OF SCI
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