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Cotton developmental phase automatic identification method based on image classification and target detection

A target detection and developmental technology, applied in character and pattern recognition, instruments, computer parts, etc., can solve problems such as poor observation of cotyledons

Active Publication Date: 2018-10-12
BEIJING UNIV OF TECH
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Problems solved by technology

For example, limited by the image resolution, two fully expanded cotyledons cannot be well observed at the emergence stage, such as figure 2 shown

Method used

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  • Cotton developmental phase automatic identification method based on image classification and target detection
  • Cotton developmental phase automatic identification method based on image classification and target detection
  • Cotton developmental phase automatic identification method based on image classification and target detection

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Embodiment Construction

[0062] The invention proposes an automatic recognition method for cotton developmental stages combining deep target detection and image classification. The concrete realization steps of this invention are as follows:

[0063] 1. Dataset production

[0064] The source of the data set of the present invention is provided by the Ulan Wusu Agricultural Meteorological Station in Xinjiang, and there are two complete observation pictures of cotton growth and development in 2016 and 2017. The image resolution in 2016 is 5184*3450 pixels, and the image resolution in 2017 is 2592*1728 pixels. The data set used for model making has two aspects: training sample set and test sample set. Among them, the training sample set and the manually labeled groundtruth map need to be used to obtain the label. The training sample set label is used as a supervisory signal when training the network model. The training sample set The specific generation operation of the label of the set is as follows: ...

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Abstract

A cotton developmental phase automatic identification method based on image classification and target detection belongs to the field of agricultural meteorological observation. With development of image processing and deep learning technologies, transformation of agricultural meteorological observation mode from manual observation to automatic observation becomes possible. In order to realize automatic observation for a cotton developmental phase, the invention provides a cotton developmental phase automatic identification method based on image classification and target detection. In method provided by the scheme, different features existing in each developmental phase image are observed and analyzed, then, automatic identification of a three true leaves phase, a five true leaves phase anda squaring phase is realized through image classification based on deep learning, further, flowers and cotton fiber in the image are detected automatically through deep target detection, and finally,results of two algorithms are integrated, and automatic identification for a complete cotton developmental phase is realized. The method provided by the scheme can realize rapid and accurate automatic identification for the cotton developmental phase and has very important application value.

Description

technical field [0001] The invention is applied to the field of agricultural meteorological observation, and specifically relates to computer vision and digital image processing technologies such as image classification, target detection, and image segmentation. According to the cotton crop image taken by the agricultural meteorological observation station, the method calculates the corresponding development period by detecting and identifying the features in the image. The automatic recognition of the cotton crop development period in the image is realized. Background technique [0002] Agricultural meteorological observation is the basis of agricultural meteorological business, service and scientific research, and is of great significance to ensure the safety of crops in our country. As one of the main growth information of crops, development period is the focus of attention in the field of agricultural meteorology. By analyzing the development speed and process of crops...

Claims

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Application Information

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IPC IPC(8): G06K9/00G06K9/34G06K9/62
CPCG06V20/00G06V10/267G06V2201/07G06F18/24G06F18/214
Inventor 毋立芳汪敏贵付亨简萌秦媛媛
Owner BEIJING UNIV OF TECH
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