人工智能和计算机视觉的应用用于测量和计数
Julio Antonio Laria Pino1, Jesús David Terán Villanueva1, Julio Laria Menchaca1
1Facultad de Ingenieria Tampico, Universidad Autonoma de Tamaulipas, Tampico 89336, Mexico.
Journal of imaging
|December 24, 2025
概括
本研究介绍了一种人工智能和计算机视觉方法,用于自动测量和计数大小. 这种由人工智能驱动的系统显著加快了养殖任务的速度,证明了它的实际可行性.
科学领域:
- 水产养殖技术 水产养殖技术
- 计算机视觉在农业中的应用
- 人工智能应用的人工智能应用.
背景情况:
- 手动测量大小是耗时的,容易变化.
- 准确和高效的大小和数量数据对于养殖场管理至关重要.
研究的目的:
- 开发和验证使用人工智能 (AI) 和计算机视觉 (CV) 进行计数和大小估计的自动化方法.
- 在水产养殖环境中显著减少时间,提高大小和数量测量的准确性.
主要方法:
- 使用DBScan集群,人工神经网络 (ANN) 和随机森林分类的图像分析.
- 从数字图像中自动提取的长度和宽度数据.
- 自动测量与手动方法的比较.
主要成果:
- 与手动方法相比,人工智能驱动的方法实现了长度和宽度测量速度的86.7倍增长.
- 该系统证明了自动化计数的可行性,在十分之二的图像中存在小差异.
- 从图像中成功地进行了的自动分类和大小估计.
结论:
- 拟议的AI和CV方法提供了一种可行且高效的解决方案,用于在养殖场中自动测量大小和计数.
- 这项技术有可能通过提高运营效率和数据准确性来彻底改变养殖实践.
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