Beijing, Jan. 11 -- Chinese scientists have successfully developed a lightweight model for beef cattle behavior recognition from quadruped robot video in grassland pastures, improving the efficiency of herd feeding and management.
The lightweight model MASM-YOLO was proposed by the Agricultural Information Institute of the Chinese Academy of Agricultural Sciences, and the relevant research was published in Computers and Electronics in Agriculture.
Accurate and rapid identification of typical cattle behaviors is fundamental to disease diagnosis, estrus monitoring, calving prediction, and health assessment. MASM-YOLO enables precise multi-behavior detection under complex conditions, suitable for real-time execution on board a mobile robot....