乳制品牲畜出口中的人工智能和传感器技术:绘制数字化转型的图表
1Department of Animal Science and Aquaculture, Faculty of Computer Science, Dalhousie University, Halifax, NS B3H 4R2, Canada.
Sensors (Basel, Switzerland)
|August 26, 2023
概括
人工智能 (AI) 和物联网 (IoT) 通过改善可追溯性和动物福利,提高乳制品牲畜出口. 数据安全和适应性方面的挑战需要战略整合,以实现可持续的全球乳制品行业.
科学领域:
- 农业技术 农业技术
- 动物科学动物科学
- 供应链管理 供应链管理
背景情况:
- 奶牛出口行业面临着对效率和可追溯性的不断变化的需求.
- 长途运输给动物福利和供应链准确性带来了独特的挑战.
研究的目的:
- 批判性地评估人工智能 (AI) 和传感器技术在奶牛出口中的潜力.
- 探索物联网 (IoT) 在运输过程中用于牲畜计数,识别和追踪的应用.
主要方法:
- 对人工智能,物联网和传感器技术在牲畜计数和识别方面的新应用进行审查.
- 对监测牛的行为模式和实时体重的技术进步进行分析.
- 评估与畜牧出口技术整合相关的好处和挑战.
主要成果:
- 人工智能和物联网通过计数和识别实现了精确的牲畜追踪.
- 实时监控行为和体重,提高长途运输的准确性.
- 创新可以提高动物福利,减少供应链错误,提高生产率.
结论:
- 人工智能,物联网和传感器技术的成功整合可以显著改善乳制品牲畜出口行业.
- 解决数据安全,适应性和伦理考虑等挑战对于可持续采用至关重要.
- 这些技术对于更高效,更具竞争力的全球乳制品行业至关重要.
关键词:
农业中的物联网农业大数据 农业大数据动物福利技术动物福利技术乳牛的监测 乳牛的监测数字化畜牧业管理精准畜牧业 精准畜牧业 精准畜牧业 精准畜牧业智能农业 智能农业可持续的畜牧生产 可持续的畜牧生产更多相关视频
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