Abstract
This paper expounds the application of machine vision theory, composition and technology in the sow breeding process monitoring, auxiliary judgment, and growth of young monitoring. It also points out the problems and deficiency in the application of machine vision technology, and discusses the development trends and prospects of the machine vision technology in agricultural engineering. The application of machine vision is a process in which dynamic original image from the sows estrus is collected with a CCD camera, and then black and white ash three binarization image in adjournments of the threshold value is made by using image acquisition card, through the median filtering and gray processing. The practitioners can extract respective image information from the sow estrus, pregnancy and birth delivery. Applying the computer vision system in the sow farm effectively enhances the practitioners’ objectivity and precision in their efforts to assess the whole process of sow birth delivery.
Highlights
Computer vision technology is based on visual system, using the image analysis of automatic classification, analysis, and testing
The aim of this paper is to describe how to accurately characterize the sow production processing and the increased expectation of high and objective standards for accurate assessment
Computer vision system consists of two main processes [12]: 1) image processing and 2) image analysis
Summary
Computer vision technology is based on visual system, using the image analysis of automatic classification, analysis, and testing. It has been applied in many Industries and investigated for the automatic sensory analysis of an image of a real scene [1]. The aim of this paper is to describe how to accurately characterize the sow production processing and the increased expectation of high and objective standards for accurate assessment. There is a need for high efficiency in the process control, which relies on the performance of the computer vision to generate precise descriptive data
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