澳大利亚科学家布朗温·达灵顿博士与其泽西牛群合作开发了Agscent传感器技术，这是一种由人工智能驱动的电子鼻系统[1]。该技术通过纳米传感器检测牛呼吸中的化学物质，能够在受孕后18天内检测出妊娠，比传统兽医检查提前数周[1]。传统妊娠检测需要兽医使用长手套进行侵入性检查，而这项新技术提供了非侵入性的替代方案[1]。
该传感器能够检测呼吸中浓度低至十亿分之一的化学物质[1]，其应用范围不仅限于妊娠检测，还可识别细菌、病毒、疾病和酮症等代谢失衡[1]。澳大利亚农业研究所主任凯蒂·麦克罗伯特表示，"AI能成为改变游戏规则的技术，因为农业困难之处在于每天需要做出大量决策"[1]。
Australian scientist Dr. Bronwyn Darlington has developed Agscent, an artificial intelligence-driven sensor technology that uses an electronic nose to detect cattle pregnancy far earlier than conventional veterinary methods [1]. The innovation employs nanosensors to identify chemical compounds in bovine breath, achieving pregnancy detection as early as 18 days after conception—significantly ahead of the roughly 35 days required for traditional veterinary examination [1].
The technology operates non-invasively, eliminating the need for the physical intrusions associated with standard pregnancy testing, which traditionally requires veterinarians to perform manual internal examinations using long gloves [1]. Beyond reproductive monitoring, the Agscent system can identify bacterial and viral infections, diseases, and metabolic imbalances such as ketosis through breath analysis, detecting chemical concentrations as low as one part per billion [1].
According to Katie McRobert, director of the Australian agricultural research institute, artificial intelligence represents a game-changing approach to farming challenges, as the sector demands numerous critical decisions on a daily basis [1]. Dr. Darlington tested the technology with her own Jersey cattle herd as part of the development process [1].