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On many occasions, physicists, other scientists, and engineers need to make estimates of a particular quantity. These are sometimes referred to as guesstimates, order-of-magnitude approximations, back-of-the-envelope calculations, or Fermi calculations. The physicist Enrico Fermi was famous for his ability to estimate various kinds of data with surprising precision. Estimating does not mean guessing a number or a formula at random. Instead, estimation means using prior experience and sound...
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AMDPWE:阿方索·曼戈数据集用于精确的重量估计.

Akshatha Prabhu1, N Shobha Rani1

  • 1Department of Computer Science, School of Computing, Mysuru Campus, Amrita Vishwa Vidyapeetham, India.

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概括
此摘要是机器生成的。

通过图像分析,自动视觉检查系统估计了Alphonso果的重量和尺寸. 这项技术有助于精确的质量评估,并确保市场需求的一致性.

关键词:
阿尔方索·曼果 (Alphonso mangoes) 是一个葡萄树.计算机视觉 计算机视觉 计算机视觉果加工加工 果加工质量估计 质量估计可持续的技术 可持续的技术

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科学领域:

  • 农业工程 农业工程
  • 计算机视觉 计算机视觉
  • 园艺园艺 园艺园艺

背景情况:

  • 阿尔方索果被称为"果之王",是印度重要的作物.
  • 准确的质量评估,特别是重量和尺寸,对于市场需求和消费者偏好至关重要.
  • 传统的水果质量评估方法可能耗时且主观.

研究的目的:

  • 开发和评估一个自动化的视觉检查系统,用于估计阿尔方索果的重量和尺寸.
  • 为了高效的质量评估,将精确称重机制与图像分析相结合.
  • 确保水果大小和质量的一致性,以确保可销售性.

主要方法:

  • 使用了71张阿尔方索果图像的数据集,这些图像是在受控环境中拍摄的,分辨率为2048x1536.
  • 采用图像分析,计算机视觉和人工智能算法来估计体重.
  • 从每个水果图像的两个方向提取了基于视觉的特征,例如面积,凸起面积和小轴.

主要成果:

  • 自动化系统准确地估计了水果的重量,这是一个关键的质量参数.
  • 该系统有助于确保各批次水果大小的一致性,从而影响消费者偏好.
  • 精密称重机制的整合为市场评估提供了一个快速而准确的方法.

结论:

  • 自动化视觉检查系统为客观和高效的阿尔方索果质量评估提供智能干预.
  • 开发的系统有可能改善果行业的质量控制.
  • 准确的重量和尺寸估计对于满足市场需求和提高消费者满意度至关重要.