中国科学家创建了MASM-YOLO, 这是一种轻量级人工智能模型, 帮助放牧机器人准确检测在挑战草原条件下的牛行为。 Chinese scientists created MASM-YOLO, a lightweight AI model that helps grazing robots detect cattle behaviors accurately in challenging grassland conditions.

中国研究人员开发了MASM-YOLO,这是一个轻量级人工智能模型,它使放牧机器人能够精确地探测到牛牛的六种关键行为,如喂养、休息和运动等,在恶劣的草原条件下,包括光线差和运动模糊的草原条件下。 Chinese researchers have developed MASM-YOLO, a lightweight AI model that enables grazing robots to accurately detect six key behaviors in beef cattle—such as feeding, resting, and locomotion—under tough grassland conditions including poor lighting and motion blur. 该模型由中国农业科学院农业信息研究所创建,利用先进技术在高精度与低计算需求之间取得平衡,使其适合实时用于移动机器人。 The model, created by the Agricultural Information Institute of the Chinese Academy of Agricultural Sciences, uses advanced techniques to balance high accuracy with low computational needs, making it ideal for real-time use on mobile robots. 它通过协助疾病检测、育种跟踪和计数预测,支持改善牧群管理。 It supports improved herd management by aiding in disease detection, breeding tracking, and calving prediction. 研究结果发表在《农业计算机和电子学》中。 The findings were published in Computers and Electronics in Agriculture.