Method for assessing rice yield

A rice yield technology, applied in the field of assessing rice yield based on digital images, to achieve the effect of low cost, broad market application prospects, and simple technology

Active Publication Date: 2016-08-10
INST OF AGRI RESOURCES & REGIONAL PLANNING CHINESE ACADEMY OF AGRI SCI +1
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, there is no method for evaluating rice yield based on digital images in the prior art

Method used

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  • Method for assessing rice yield
  • Method for assessing rice yield
  • Method for assessing rice yield

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Experimental program
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Embodiment 1

[0021] Embodiment 1: the method for evaluating rice yield, comprises the steps:

[0022] Step (1) In the field experiment, the steps are as follows: collect the digital image of the rice canopy at the end of the filling stage; obtain the red light value R, the green light value G and the blue light value B respectively from the digital image of the rice canopy above, and the red light value Normalized value NRI, green light normalized value NGI and blue light normalized value NBI, where NRI=R / (R+G+B), NGI=G / (R+G+B), NBI=B / (R+G+B ); Obtain the measured output of rice in field test; Obtain the first fitting equation and the second fitting equation, the first fitting equation is the fitting equation of rice canopy digital image red light normalization value NRI and field test rice measured output , the second fitting equation is a fitting equation of the normalized value NBI of the blue light of the digital image of the rice canopy and the measured yield of the rice in the field ...

Embodiment 2

[0037] Embodiment 2: a kind of method for evaluating rice yield, comprises the steps:

[0038] Step (1): In the field experiment, the operation is as follows: collect a digital image of the rice canopy at the end of the filling stage; obtain the red light value R, the green light value G and the blue light value B respectively from the digital image, and red light normalization Value NRI, green light normalized value NGI and blue light normalized value NBI, where NRI=R / (R+G+B), NGI=G / (R+G+B), NBI=B / (R+G+B) Obtain the measured output of rice in field test; obtain the first fitting equation and the second fitting equation, the first fitting equation is the fitting equation of the red light normalization value NRI and the measured output of rice in field test, the described The second fitting equation is the fitting equation of the blue light normalization value NBI and the field test rice yield;

[0039] Step (2): In the field verification, the operation is as follows: collect ...

Embodiment 3

[0040] Embodiment 3: a kind of method for evaluating rice yield, comprises the steps:

[0041] Step (1): In the field experiment, the operation is as follows: collect a digital image of the rice canopy at the end of the filling stage; obtain the red light value R, the green light value G and the blue light value B respectively from the digital image, and red light normalization Value NRI, green light normalized value NGI and blue light normalized value NBI, where NRI=R / (R+G+B), NGI=G / (R+G+B), NBI=B / (R+G+B) Obtain the measured output of paddy rice in field experiments; adopt the quadratic curve to construct the first fitting equation and the second fitting equation respectively, and the first fitting equation is the simulation of the red light normalization value NRI and the measured output of rice in field experiments Fitting equation, the second fitting equation is the fitting equation of the blue light normalization value NBI and the field test rice yield; Horizontal digita...

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PUM

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Abstract

The invention discloses a method for assessing the rice yield. The method comprises the following steps of: (1) in a field trial, collecting a digital image of rice canopy at the last phase of grouting; acquiring a red light standard value NRI, a green light standard value NGI and a blue light standard value NBI; acquiring practically measured yield of field trial rice; acquiring a first fitted equation and a second fitted equation; (2) in a field validation process, collecting the digital image of rice canopy at the last phase of grouting; acquiring the red light standard value NRI, the green light standard value NGI and the blue light standard value NBI; and inputting the red light standard value NRI to the first fitted equation, inputting the blue light standard value NBI to the second fitted equation and acquiring the predicted yield of the field rice. According to the method provided by the invention, the rice yield is predicted, the conformity between the predicted yield and the practically measured yield is higher and the rice grain yield is better predicted. Compared with the prior art, the method provided by the invention is simple and is low in cost.

Description

technical field [0001] The invention relates to a method for evaluating rice yield, in particular to a method for evaluating rice yield based on digital images, and the invention belongs to the field of rice yield evaluation. Background technique [0002] At present, the methods for evaluating rice yield on the market mainly include spectral diagnostic method and remote sensing evaluation method, etc., but these methods require expensive spectrometers or purchase satellite remote sensing images, and the operation steps are cumbersome, which makes popularization and application difficult. Due to its relatively low price trend, digital shooting equipment such as digital cameras has been widely used in all walks of life, and has been fully integrated with smart phones. Digital images of rice plants are taken by digital cameras and other digital shooting equipment, and according to previous studies, the RGB values ​​of digital images are closely related to rice nutrition and yie...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01N21/84
CPCG01N21/84G01N2021/8466
Inventor 张会民柳开楼李亚贞王亮亮
Owner INST OF AGRI RESOURCES & REGIONAL PLANNING CHINESE ACADEMY OF AGRI SCI
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