AI帮助识别耐热奶牛, 在气候变暖时改善奶牛养殖。 AI helps identify heat-tolerant cows, improving dairy farming in a warming climate.

Anna Chlingaryan博士领导的研究人员利用AI改进对耐热奶牛的识别,分析来自澳大利亚农场的数据,包括报复性温度、饮酒行为、牛奶产量和气候。 Researchers led by Dr. Anna Chlingaryan used AI to improve identification of heat-tolerant dairy cows, analyzing data from Australian farms including ruminal temperature, drinking behavior, milk yield, and climate. 他们发现,热应激影响牛奶生产和福利,从THI开始,其产量和福利金比前一个门槛(66)高75倍,并开发了一个混合的AI-IM模型(HAIM),以提高繁殖的准确性。 They found heat stress impacts milk production and welfare starting at a THI of 75—higher than the prior threshold of 66—and developed a Hybrid AI-Based Model (HAIM) that boosts breeding accuracy. 该模型结合了气候、生产和动物特性,确定了耐热奶牛,其中84%同意现行方法,但在将抗御力置于优于产量的优先地位时,发现有8%不同,这为农民提供了一个更有效的工具,在气候变暖的情况下进行可持续的奶制品种植。 The model, which integrates climate, production, and animal traits, identified heat-tolerant cows with 84% agreement to current methods but revealed a different 8% when prioritizing resilience over yield, offering farmers a more effective tool for sustainable dairy farming in a warming climate.