A method and system for automatic detection of backfat body and automatic feeding of animals

Abstract

The invention discloses a backfat body automatic detection method and device, and a method and system for automatic feeding based on the fat body value, wherein the detection method includes: acquiring an image sequence of an animal at a specific position; Extracting animal body shape regions from each image to obtain several animal body shape region images; respectively marking key points on the several animal body shape region images; transforming the several animal body shape region images into standard body shapes according to the marked key points image; the standard body shape image is compared and analyzed with the pre-established standard body shape template information library; the parameter value related to the backfat body is determined according to the comparative analysis result; the current fat body of the animal is calculated according to the parameter value and the current information of the animal individual Body value. Through the present invention, an automatic backfat measurement method is provided, and the measured backfat result provides an optimal feeding strategy for animals (especially sows), thereby maximizing production economic benefits.

Description

technical field [0001] The invention relates to the technical field of animal feeding, in particular to a method and system for automatically detecting fat body and feeding according to the fat body. Background technique [0002] With the continuous development of science and technology, livestock and poultry breeding, especially pig breeding, has also moved from free-range and small-scale breeding to intensive, automated and intelligent breeding. A large number of automated and intelligent equipment and new pig raising methods have been applied to the pig raising industry , making pig breeding develop in the direction of higher automation, higher production efficiency and indicators, and lower meat production costs. [0003] Taking the entire pig raising process as an example, sow feeding is the most economically beneficial, but also the most difficult. Sow fat body measurement and feeding at each stage are the most important links in sow production and feeding, which are r...

AI Technical Summary

Problems solved by technology

[0004] At present, the fat body of sows is measured by human eyes and with the help of ultrasonic equipment. The naked eye measurement relies on experience, which is prone to misjudgment, low measurement accuracy, and randomness. Although the measurement accuracy of ultrasonic equipment is high, it still needs manual correction. , the measurement efficiency is low, and the data export is difficult

[0005] Feeding amount of sows At present, some pig farms still use manual feeding into the trough or adjust the quantitative bucket scale of the automatic feeding line to determine the planned amount. The scale of feeding amount is difficult to grasp accurately, and the adjustment workload is heavy

Although some pig farms use automatic equipment instead of manual feeding, they also use backfat measurement equipment, but it cannot be automatically related to the automatic feeding amount. It still needs to rely on manual experience to judge and adjust the sow feeding amount, and it is impossible to record the adjustment results. The data analysis and results of body and production performance, and because one measurement of fat body value determines the planned amount of feed intake for several days in the future, it is impossible to judge whether the previous feeding plan is reasonable

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