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An automatic identification method of cotton developmental stage based on image classification and object detection

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

Active Publication Date: 2022-07-01
BEIJING UNIV OF TECH
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  • Abstract
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  • Application Information

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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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  • An automatic identification method of cotton developmental stage based on image classification and object detection
  • An automatic identification method of cotton developmental stage based on image classification and object detection
  • An automatic identification method of cotton developmental stage based on image classification and object detection

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Embodiment Construction

[0062] The present invention proposes an automatic identification method of cotton development period 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 dataset of the present invention is provided by the Xinjiang Ulan-Wusu Agricultural Meteorological Station, 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 graph are used to obtain labels. The training sample set label is used as the supervision signal when training the network model, and the training sample The specific generation operation of the set label is as follows:

[0065]...

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Abstract

An automatic identification method of cotton development period based on image classification and target detection belongs to the field of agricultural meteorological observation. With the development of image processing and deep learning technology, it is possible to change the way of agricultural meteorological observation from manual observation to automatic observation. In order to realize the automatic observation of cotton development period, this paper proposes an automatic identification method of cotton development period based on the combination of object detection and image classification. The scheme first observes and analyzes the different characteristics of cotton images at various developmental stages, and then realizes automatic identification of three true leaf stages, five true leaf stages and budding stages through deep learning-based image classification, and further automatically detects images through deep object detection. Finally, the results of the two algorithms are combined to realize the automatic identification of the complete development period of cotton. Adopting this scheme can realize fast and accurate automatic identification of cotton development period, which has 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. The method calculates the corresponding development period by detecting and recognizing the features in the image according to the cotton crop image captured by the agrometeorological observation station. The automatic identification of the cotton crop development stage in the image is realized. Background technique [0002] Agricultural meteorological observation is the basis of agricultural meteorological business, service and scientific research, and it is of great significance to ensure the safety of crops in my country. As one of the main growth information of crops, the development period is the focus of attention in the field of agrometeorology. By analyzing the development speed and process of crops, the re...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06V10/26G06V10/764G06V10/774G06V10/82G06V20/60G06K9/62
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