Automatic observation method of tillering stage of sugarcane

An automatic observation and tillering stage technology, applied in image analysis, image data processing, instruments, etc., can solve problems such as errors, inability to actively monitor changes, low resolution, etc., to reduce labor intensity and production costs, timeliness and practicality The effect of strong pertinence and wide application value

Inactive Publication Date: 2018-12-18
GUANGXI INST OF METEOROLOGICAL DISASTER REDUCING RES
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

In 2012, Zhong Chu et al. published "Prediction of Sugarcane Physiological Development Time and Growth Period" in "Saccharaceae of China" by using the crop physiological development time to predict the germination period, seedling period and stem elongation period of sugarcane. The relative errors of the prediction results were 7, 3, 6, and 15 days, the prediction effect is better, and it has certain practicability, but because the growth period is twice a day, manual inspections and observations have caused certain error

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  • Automatic observation method of tillering stage of sugarcane
  • Automatic observation method of tillering stage of sugarcane

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Experimental program
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Embodiment 1

[0028] Such as figure 1 Shown, the present invention provides sugarcane tillering stage automatic observation method, comprising:

[0029] Step 1, obtaining sugarcane images in real time;

[0030] Step 2, preprocessing the sugarcane image;

[0031] Step 3, the sugarcane image is segmented, and the sugarcane plant image is extracted in the connected area;

[0032] Step 4, calculate sugarcane plant green pixel coverage FVC according to sugarcane plant image;

[0033] Step 5, calculating the number of vertices of the sugarcane plant according to the image of the sugarcane plant;

[0034] Step 6, calculating the number of sugarcane plant blades and stem intersections according to the sugarcane plant image;

[0035] Step 7. According to the historical image of sugarcane tillering stage, combined with the image features of artificial observation elements in the sugarcane tillering stage, construct a sugarcane image feature database, and count the green pixel coverage FVC of suga...

Embodiment 2

[0044] Such as figure 1 Shown, the present invention provides sugarcane tillering stage automatic observation method, comprising:

[0045] Step 1, obtaining sugarcane images in real time;

[0046] Step 2, preprocessing the sugarcane image;

[0047] Step 3, the sugarcane image is segmented, and the sugarcane plant image is extracted in the connected area;

[0048] Step 4. Calculate the sugarcane plant green pixel coverage FVC according to the sugarcane plant image; in order to improve the detection accuracy of the sugarcane plant green pixel coverage FVC, obtain n' time point sugarcane images every day, n'>1, and count n days For all the sugarcane images taken, n≥2, the green pixel coverage FVC of sugarcane plants corresponding to each sugarcane image was calculated and averaged.

[0049] Step 5, calculate the number of sugarcane plant vertices according to the sugarcane plant image; in order to improve the detection accuracy of the sugarcane plant vertex number, after count...

Embodiment 3

[0059] Such as figure 1 Shown, the present invention provides sugarcane tillering stage automatic observation method, comprising:

[0060] Step 1, obtaining sugarcane images in real time;

[0061] Step 2, preprocessing the sugarcane image;

[0062] Step 3, the sugarcane image is segmented, and the sugarcane plant image is extracted in the connected area;

[0063] Step 4, calculate sugarcane plant green pixel coverage FVC according to sugarcane plant image; In order to improve the detection accuracy of sugarcane plant green pixel coverage FVC, obtain the sugarcane image of 4 time points every day, as every day 8:00, 10:00, The sugarcane images were taken at 14:00 and 16:00, and the 12 sugarcane images taken within 3 days were counted, and the green pixel coverage FVC of sugarcane plants corresponding to each sugarcane image was calculated and averaged.

[0064] Step 5. Calculate the number of sugarcane plant vertices according to the sugarcane plant image; in order to improv...

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Abstract

The invention discloses an automatic observation method for the tillering stage of sugarcane, which comprises the following steps: obtaining a sugarcane image in real time; pre-processing the sugarcane image; extracting the image of a sugarcane plant; calculating the green pixel coverage FVC of the sugarcane plant; calculating the number of the apexes of the sugarcane plant; calculating the numberof leaves and stem crossing points of the sugarcane plant; if the green pixel coverage FVC>=coverage threshold FVCg, the number of apexes of the sugarcane plant>=the threshold of the value of the apexes of the sugarcane plant, and the number of intersections of the leaves and the stem of the sugarcane plant>= the threshold of number of intersections of the leaves and the stem of the sugarcane plant, determining that the sugarcane plants in the sugarcane images will enter the tillering stage. The green pixel coverage of the sugarcane plant, the number of the apexes of the sugarcane plant and the number of the intersecting points of the leaves and stem of the sugarcane plant are calculated by using image recognition technology to finish automatic observation of the tillering stage of sugercane, which has higher objectivity, higher timeliness and practicability than traditional manual observation method, and reduces labor intensity and production cost.

Description

technical field [0001] The invention relates to the technical field of sugarcane planting. More specifically, the present invention relates to an automatic observation method for sugarcane tillering stage. Background technique [0002] Sugarcane is one of the most important sugarcane crops in the world, and the sucrose extracted from sugarcane accounts for more than 90% of the sugar production in my country. The development of precision agriculture is an effective measure to realize the sustainable development of sugarcane industry, and the real-time and accurate acquisition of sugarcane growth period information is one of the key foundations for the implementation of precision sugarcane industry. Through accurate observation of information such as the speed and progress of sugarcane development, it is possible to scientifically guide production activities such as irrigation, fertilization, and pest control to increase production. It can be applied to sugarcane growth model...

Claims

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Application Information

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IPC IPC(8): G06T7/00G06T7/10G06T7/187
CPCG06T7/0002G06T2207/30168G06T2207/30188G06T7/10G06T7/187
Inventor 刘志平匡昭敏马瑞升李莉谭孟祥
Owner GUANGXI INST OF METEOROLOGICAL DISASTER REDUCING RES
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