Method, equipment and device for estimating weight of pig and storage medium

Abstract

The invention discloses a method and equipment for estimating the weight of a pig. The method comprises the following steps: acquiring a three-dimensional pig image acquired by a handheld image acquisition device; performing image processing on the three-dimensional pig image to obtain point cloud data of the three-dimensional pig image; performing clustering segmentation operation on the point cloud data so as to identify the pig; based on the identified pig, acquiring contour information of the pig from the three-dimensional pig image; obtaining the back area of the pig according to the contour information; and applying the back area to a regression equation to estimate the weight of the pig. According to the method for estimating the weight of the pig, a three-dimensional point cloud analysis algorithm is adopted, information such as the height, the length and the width of the pig can be accurately calculated, and the weight of the pig can be accurately predicted by combining projection area data of the pig on a plane.

Description

technical field [0001] The present invention relates generally to the field of pig husbandry. More specifically, the present invention relates to a method, apparatus, handheld device and computer readable storage medium for weighing pigs. Background technique [0002] In the modern pig industry, it is often necessary to know the weight information of pigs in order to realize the scientific breeding of pigs. Especially in the pig sales stage, it is necessary to select pigs of appropriate weight so that pigs of different weights can be treated accordingly. It can be seen that the weight of pigs needs to be measured during the growth and marketing stages of pigs. In traditional methods, the measurement of pig weight usually relies on experienced breeders to estimate or use electronic scales, weighbridges, etc. for contact weighing. For these two methods, the former needs to rely on the "feel and intuition" of the breeder, so in the estimation of pig weight, human subjective ...

AI Technical Summary

Problems solved by technology

For these two methods, the former needs to rely on the "feel and intuition" of the breeder, so in the estimation of pig weight, human subjective factors will lead to poor estimation accuracy; while the latter usually requires manual adjustment of pig weight. Binding or driving pigs to weighing equipment for measurement will consume huge manpower and material resources, the operation is difficult, and may cause greater stimulation to pigs, which will be detrimental to the health of pigs. growth and development

To sum up, when the number of pigs is relatively large (such as pigs in large pig farms), the traditional method of measuring pig body weight has a huge workload and high labor costs

In addition, when weighing a large number of pigs, manual data recording is required, resulting in low measurement efficiency

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