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Cow weight prediction system

A prediction system and technology for dairy cows, applied in the field of agriculture and breeding, can solve problems such as large measurement errors, inability to obtain weight data, and heavy workload, so as to achieve accurate calculation and prediction, reasonable and accurate system, and avoid inaccurate measurement.

Pending Publication Date: 2019-11-05
宁夏金宇智慧科技有限公司
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  • Application Information

AI Technical Summary

Problems solved by technology

At present, most of the dairy cows are measured manually by manual measurement with a tape measure. These methods not only have a large workload, but also may cause large measurement errors due to human factors, which makes the measurement results lack objectivity; Dairy cows cause a stress response that affects the growth of cows
Further, the weight measurement is done by using a weighbridge, placing a weighbridge on the ground of the cow passage, and obtaining the weight of the cow when the cow passes the weighbridge. This method must require the cow to stand completely on the weighbridge and keep still in order to obtain accurate cow weight data, but it is difficult to keep the cows in this state on site, so this method cannot obtain accurate weight data

Method used

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Examples

Experimental program
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Embodiment 1

[0081] Embodiment 1: This example adopts the parallel binocular vision ranging method:

[0082] Step 1: by figure 2 The geometric relationship shown can be obtained:

[0083] Z=f(1+b / d) (1-11)

[0084] where, d=X 1 -X 2 , is the parallax in stereo vision. The above formula (1-11) links the distance and disparity between the object in the three-dimensional scene and the image plane of the camera, and the distance information of the object is related to the disparity. Therefore, by performing stereo matching on the image pair of the binocular stereo vision system, Find the projection point of the same object point on two image planes, so as to obtain the image plane coordinates of the two projection points, calculate the parallax d, and finally obtain the depth Z of the object point through the formula (1-11).

[0085] Equation (1-11) is how to recover the distance information of the 3D scene from the left and right images under ideal conditions. In practical applications...

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Abstract

The invention provides a cow weight prediction system, which comprises the following steps of 1, obtaining three-dimensional world coordinates of scenery points through a multi-view stereoscopic vision distance measurement method; 2, calibrating a camera; establishing a relationship between a camera image pixel position and a scene point, obtaining a relationship between the three-dimensional coordinate information of the space object and the two-dimensional information of the acquired image, and further recovering information such as depth and the like missing due to acquisition by utilizingthe relationship; 3, matching feature points; carrying out similarity measurement on the SIFT feature vectors of the two images to be matched, and calculating nearest matching of each feature point ofone image in the feature point set of the other matched image; and 4, determining the body size of the dairy cow according to the obtained feature points, and obtaining a dairy cow weight predictionresult according to a preset prediction model.

Description

technical field [0001] The invention belongs to the field of agricultural breeding, in particular to a dairy cow weight prediction system. Background technique [0002] Animal husbandry uses the physiological functions of livestock and poultry and other animals that have been domesticated by humans, or wild animals such as deer, musk deer, fox, mink, otter, quail, etc., through artificial breeding and breeding, so that they can transform plants such as pasture and feed into Animal energy, in order to obtain meat, eggs, milk, wool, cashmere, hides, silk and medicinal materials and other livestock products, is an extremely important link in the material exchange between humans and nature. Animal husbandry is one of the components of agriculture, and it is listed as the two pillars of agricultural production along with planting. [0003] Dairy cows are yellow cattle of dairy breeds. They are excellent breeds that have been highly selected and bred. The dairy cows in my country...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/33G06T7/80G01G17/08G01B11/03
CPCG06T7/33G06T7/80G01G17/08G01B11/03G06T2207/10012
Inventor 马军金志华金荣华康鹤程马旋马鹏飞关冬马波马富康马少云
Owner 宁夏金宇智慧科技有限公司
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