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Automatic observation method for sugarcane process maturing stage

An automatic observation and mature technology, applied in the direction of measuring devices, testing plant materials, image data processing, etc., can solve problems such as errors, inability to actively monitor changes, low resolution, etc., to reduce labor intensity, production costs, and timeliness And the effect of strong practicability and wide application value

Inactive Publication Date: 2019-01-01
GUANGXI INST OF METEOROLOGICAL DISASTER REDUCING RES
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  • 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 errors, and there is no prediction of the sugarcane process maturity period
The above related literature does not provide a real-time detection method for sugarcane process maturity, and the satellite remote sensing image has a long imaging distance and low resolution. The imaging quality is greatly affected by the weather and cannot actively monitor changes. It is more suitable for the overall growth status of crops on a large scale analysis, not applicable to the selection of observation methods for sugarcane process maturity

Method used

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  • Automatic observation method for sugarcane process maturing stage
  • Automatic observation method for sugarcane process maturing stage

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Embodiment 1

[0031] Such as figure 1 Shown, the present invention provides sugarcane process maturity automatic observation method, comprising:

[0032] Step 1, obtaining sugarcane images in real time;

[0033] Step 2, preprocessing the sugarcane image;

[0034]Step 3, the sugarcane image is segmented, and the sugarcane plant image is extracted in the connected area;

[0035] Step 4, calculating the sugarcane plant coverage FVC according to the sugarcane plant image;

[0036] Step 5. Calculating the ratio G of the green pixels in the entire sugarcane plant image to the pixels of the entire sugarcane plant image according to the sugarcane plant image;

[0037] Step 6, calculate the ratio value Y of the yellow pixel in the entire sugarcane plant image to the entire sugarcane plant image pixel according to the sugarcane plant image;

[0038] Step 7, calculating the sugarcane plant growth rate V;

[0039] Step 8. According to the historical images of sugarcane process maturity period, com...

Embodiment 2

[0050] Such as figure 1 Shown, the present invention provides sugarcane process maturity automatic observation method, comprising:

[0051] Step 1, obtaining sugarcane images in real time;

[0052] Step 2, preprocessing the sugarcane image;

[0053] Step 3, segmenting the sugarcane image and extracting the sugarcane plant image;

[0054] Step 4. Calculate the sugarcane plant coverage FVC according to the sugarcane plant image; in order to improve the detection accuracy of the sugarcane plant coverage FVC, obtain n' time points of sugarcane images every day, n'>1, and count all the photos taken in n days Sugarcane images, n≥2, respectively calculate the FVC of sugarcane plant coverage corresponding to each sugarcane image, and take the average value.

[0055] Step 5, according to the sugarcane plant image calculation, the green pixel in the whole sugarcane plant image accounts for the ratio value G of the whole sugarcane plant image pixel; in order to improve the detection a...

Embodiment 3

[0069] Such as figure 1 Shown, the present invention provides sugarcane process maturity automatic observation method, comprising:

[0070] Step 1, obtaining sugarcane images in real time;

[0071] Step 2, preprocessing the sugarcane image;

[0072] Step 3, segmenting the sugarcane image and extracting the sugarcane plant image;

[0073] Step 4. Calculate the sugarcane plant coverage FVC according to the sugarcane plant image; in order to improve the detection accuracy of the sugarcane plant coverage FVC, obtain 4 sugarcane images every day, such as 8:00, 10:00, 14:00, Take sugarcane images at 16:00, and count the 12 sugarcane images taken within 3 days, calculate the sugarcane plant coverage FVC corresponding to each sugarcane image, and take the average value.

[0074] Step 5, according to the sugarcane plant image calculation, the green pixel in the whole sugarcane plant image accounts for the proportion value G of the whole sugarcane plant image pixel; in order to impro...

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Abstract

The invention discloses an automatic observation method for a sugarcane process maturing stage. The automatic observation method comprises: real-timely obtaining a sugarcane image; pre-treating the sugarcane image; segmenting the sugarcane image, and extracting the sugarcane plant image; calculating the sugarcane plant coverage FVC according to the sugarcane plant image; calculating the ratio G ofthe green pixels in the whole sugarcane plant image to the pixels in the whole sugarcane plant image according to the sugarcane plant image; calculating the ratio Y of the yellow pixels in the wholesugarcane plant image to the pixels in whole sugarcane plant image according to the sugarcane plant image; calculating the growth rate V of the sugarcane plant; and determining whether the sugarcane plant enters a process maturing stage. According to the present invention, the automatic observation method has high objectivity, high timeliness and strong practicability compared to the traditional manual observation method, and further reduces labor intensity and production cost.

Description

technical field [0001] The invention relates to the technical field of sugarcane planting. More specifically, the invention relates to an automatic observation method for sugarcane process maturity. 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 models to im...

Claims

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Application Information

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IPC IPC(8): G01N21/84G06T7/10
CPCG01N21/84G01N2021/8466G06T2207/30188G06T7/10
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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