Rice nitrogen nutrition estimation method based on canopy image feature derivation

A rice nitrogen and layer image technology, applied in the field of rice nitrogen nutrition estimation, can solve the problems of poor universality and difficult improvement of model prediction accuracy, and achieve high precision, simple structure and wide application range

Active Publication Date: 2020-10-09
JIANGXI ACAD OF AGRI SCI INST OF AGRI ENG
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Problems solved by technology

However, image technology diagnosis mostly relies on prediction models of biophysical and chemical parameters. These prediction models are often established through semi-empirical relationships. The prediction accuracy of the model itself is difficult to improve and its universality is not strong.

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  • Rice nitrogen nutrition estimation method based on canopy image feature derivation
  • Rice nitrogen nutrition estimation method based on canopy image feature derivation
  • Rice nitrogen nutrition estimation method based on canopy image feature derivation

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Embodiment Construction

[0033]The technical solutions of the present invention will be further described below through specific embodiments.

[0034] The invention is carried out based on paddy field tests of different years, different ecological points, and different levels of nitrogen application. The specific expression is shown in Table 1:

[0035] Table 1 Basic information of the rice experimental fields where control data and inspection data were obtained

[0036]

[0037] The experimental data obtained from the rice experimental field Exp.1 and Exp.2 are used as the modeling data set, and the experimental data obtained from the rice experimental field Exp.3 are used as the testing data set to observe the accuracy and adaptability of the model under different environmental conditions and treatments .

[0038] As shown in Figure 1, a method for estimating rice nitrogen nutrition based on canopy image features, the specific steps are as follows:

[0039] Step (1), image data acquisition

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Abstract

The invention discloses a rice nitrogen nutrition estimation method based on canopy image feature derivation. The method comprises the steps of acquiring a rice elongation stage canopy image in a unitarea of a field or in a plant with a certain number of holes above a rice canopy through imaging equipment; processing the canopy image by using a digital image processing method to obtain a rice canopy coverage (CC), using the rice canopy coverage as an image feature value, using feature derivation, expanding the image canopy coverage as an independent variable, and constructing a regression relational expression with the rice nitrogen nutrition index; and verifying the trained model by collecting more rice canopy coverage and rice nitrogen nutrition index samples. According to the method, the nitrogen nutrition of the rice is evaluated by utilizing the image feature values, the prediction precision and universality of the model can be effectively improved, and an effective means is provided for monitoring the growth vigor and nutrition of the rice.

Description

technical field [0001] The invention belongs to the field of rapid and non-destructive monitoring of crop growth status based on digital image technology, in particular to a method for estimating rice nitrogen nutrition based on canopy image feature derivation. Background technique [0002] Rice is the most important food crop in my country, and its yield formation is closely related to nutrient absorption. Nitrogen is one of the indispensable nutrient elements for rice growth and development. The amount of nitrogen fertilizer used in rice in my country accounts for 37% of the total amount of nitrogen fertilizer used in rice in the world, while the average nitrogen utilization rate is only 35%. Studies have shown that as the amount of nitrogen fertilizer used in rice production continues to rise, excessive nitrogen fertilizer input reduces nitrogen fertilizer nutrient use efficiency, and nitrogen fertilizer loss also directly and indirectly leads to a series of adverse envir...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01N21/84G01B11/28G06T7/11G06T7/136G06T7/62
CPCG01N21/84G01B11/28G06T7/11G06T7/136G06T7/62G01N2021/8466G06T2207/10004G06T2207/10024
Inventor 叶春李艳大曹中盛孙滨峰黄俊宝舒时富吴罗发张结刚
Owner JIANGXI ACAD OF AGRI SCI INST OF AGRI ENG
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