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Crop row identification method for precise corn pesticide application system

A recognition method and crop row technology, applied in the field of agricultural engineering, can solve problems such as complex algorithms, achieve the effect of removing background interference, avoiding noise such as weeds, and retaining crop row information

Active Publication Date: 2015-02-18
ZHENGZHOU UNIVERSITY OF LIGHT INDUSTRY
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Problems solved by technology

These algorithms have certain reference value for the field crop row extraction algorithm, but the algorithm is complex and cannot fundamentally meet the needs of agricultural machinery, so further research and experiments are needed

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  • Crop row identification method for precise corn pesticide application system
  • Crop row identification method for precise corn pesticide application system
  • Crop row identification method for precise corn pesticide application system

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Embodiment Construction

[0030] The present invention will be described in detail below in conjunction with the accompanying drawings and specific embodiments.

[0031] Such as figure 1 As shown, a crop row identification method for a corn precision pesticide application system includes the following steps:

[0032] S1: Use industrial cameras to collect RGB color images of cornfields.

[0033] MV-VD030SC model industrial camera and AFT-0814MP lens are used to collect RGB color images of cornfields, and save them in a computer program in BMP format with an image size of 640*480. Through the MFC-based image processing vision program, the picture is directly displayed on the program running interface. The RGB color image of the corn field is an image of the real complex environment in the mid-growth period of the corn. Usually, the image of corn in the mid-growth period has the characteristics of long strips of leaves, severe cross occlusion, large weeds and soil background noise, and indistinct and w...

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Abstract

The invention discloses a crop row identification method for a precise corn pesticide application system. The method comprises the steps of acquiring an RGB colored image of a corn field by an industrial camera and a lens; graying the acquired RGB colored image by an improved overgreen graying algorithm; removing image noise by median filtering of an improved median obtaining method; performing binarization on the denoised image by a maximum inter-class variance method; filtering noise out of a binarized image by a morphology algorithm; extracting a crop row framework based on a mahalanobis distance and a corn vein rule; and fitting a main crop row into a straight line based on Hough transformation of a main framework point. According to the crop row identification method, crop row information is retained to the maximum extent, background interference is removed, and the calculation speed is increased; the accurate crop row framework is extracted on the basis of the mahalanobis distance and the corn vein rule, so that the influence caused by noise such as weeds is effectively avoided; the crop row identification method is suitable for different crops and lighting conditions; the crop row accuracy is higher than 98.3 percent; an effective method is provided for realizing automatic alignment of pesticide spraying heads in a precise agricultural system.

Description

technical field [0001] The invention relates to the technical field of agricultural engineering, in particular to a crop row identification method for a corn precision pesticide application system. Background technique [0002] The key to realizing the automatic alignment of spray nozzles in precision spraying systems is the identification of the centerline of crop rows. Digital image processing algorithm has great advantages in automatic identification, which is the foundation and key technology of modern precision agriculture. Previous studies have shown that the crop row extraction algorithm has the disadvantages of singleness and poor adaptability, and different periods of crop growth, illumination, and crop types will affect the realization of the algorithm. Designing a crop row recognition algorithm that satisfies multiple conditions is an important issue in precision pesticide application. [0003] According to the previous research, the recognition algorithm of far...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06K9/54
CPCG06V20/188G06V10/20G06V20/68G06V2201/09
Inventor 刁智华王子成毋媛媛钱晓亮贺振东王宏罗雅雯赵明珍吴贝贝魏玉泉
Owner ZHENGZHOU UNIVERSITY OF LIGHT INDUSTRY
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