Pig herd gathering detection method, device and equipment and readable storage medium

Abstract

The invention discloses a pig herd gathering detection method, which comprises the following steps: acquiring pictures of a pig house breeding field, calling a pre-trained neural network model to extract a pig herd foreground, and automatically identifying whether a pig herd is gathered or not through a classification model. The method can automatically detect whether the pig herds are piled or not, and solves the problems that at present, manual detection of pig herd piled is troublesome and laborious, and monitoring is not timely; contact between people and the swinery is reduced through automatic monitoring and recognition, disease transmission can be prevented to a certain extent, and the health of the swinery is guaranteed; meanwhile, the method can generate an accurate bunch detection result, and can provide effective and reliable reference information for pig house environmental control, swinery disease reasoning and diagnosis and the like. The invention further discloses a pig herd gathering detection device and equipment and a readable storage medium, and the corresponding technical effects are achieved.

Description

technical field [0001] The present invention relates to the technical field of intelligent farming, in particular to a method, device, equipment and readable storage medium for detecting pig groups. Background technique [0002] In pig farming, if there is a group of pigs in the stall (referring to the stacking of multiple pigs), it means that the ambient temperature of the stall is too low, or the pigs are sick. Accurate and timely detection of pig herds getting together and early intervention have greater production value. [0003] At present, the vast majority of farms use artificial pig grouping judgments. Even in some automated farms, they can only provide simple monitoring of the breeding environment, and cannot automatically identify pig groups. This has led to the fact that human inspection is generally used to detect whether pigs are clustered together. However, this manual inspection method is not only time-consuming and laborious, the monitoring is not timely, an...

AI Technical Summary

Problems solved by technology

This has led to the fact that human inspection is generally used to detect whether pigs are clustered together, but this manual detection method is not only time-consuming and laborious, the monitoring is not timely, but also has high requirements for personnel, which is not conducive to intensive production

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