Forage Feed Detection System and Method Based on Machine Vision

Abstract

A forage detection method based on machine vision. The method comprises the following steps: dividing a pasture feed trough region to be monitored to obtain multiple forage detection regions; obtaining a forage detection region with livestock according to edge detection on a minimum rectangular region of a region of interest in the forage detection regions; detecting, according to RGB color components, a minimum rectangular region of the region of interest in the forage detection region without livestock, so as to obtain related forage detection information; and displaying the obtained forage detection information. By using the method, the surplus of forage in pasture feed troughs can be automatically detected and alarm conditions with varying degrees can be set according to consumption conditions of the forage, so as to remind managers; historical data of forage consumption can also be recorded to implement query and retrieval; and on this basis, machine vision-based intelligent monitoring and management on forage conditions can be implemented.

Description

technical field [0001] The invention relates to automatic intelligent control in facility animal husbandry, in particular to a machine vision-based forage feed detection system and method. Background technique [0002] Judging from the statistical situation of my country's cattle industry in the past 50 years, the number of cattle on hand in my country has been increasing, the scale of operation has continued to expand, and the level of cattle breeding technology has continued to improve. The industry still has problems such as unreasonable feed results, low attendance rate, and high management costs. Although my country's dairy industry has developed rapidly in recent years, in general, the dairy industry is still a relatively underdeveloped industry in agriculture, and its foundation is still quite weak. In many aspects such as low level, the feed management of animal husbandry in the past was still based on the supervision method of manual labor, and the management was not...

AI Technical Summary

Problems solved by technology

[0002] Judging from the statistical situation of my country's cattle industry in the past 50 years, the number of cattle on hand in my country has been increasing, the scale of operation has continued to expand, and the level of cattle breeding technology has continued to improve. The industry still has problems such as unreasonable feed results, low attendance rate, and high management costs.

Although my country's dairy industry has developed rapidly in recent years, in general, the dairy industry is still a relatively underdeveloped industry in agriculture, and its foundation is still quite weak. In many aspects such as low level, the feed management of animal husbandry in the past was still based on the supervision method of manual labor, and the management was not comprehensive and perfect

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