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Like all living organisms, plants require organic and inorganic nutrients to survive, reproduce, grow and maintain homeostasis. To identify nutrients that are essential for plant functioning, researchers have leveraged a technique called hydroponics. In hydroponic culture systems, plants are grown—without soil—in water-based solutions containing nutrients. At least 17 nutrients have been identified as essential elements required by plants. Plants acquire these elements from the...
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Metal ions can be separated from one another by complexation with organic ligands–the chelating agent– to form uncharged chelates. Here, the chelating agent must contain hydrophobic groups and behave as a weak acid, losing a proton to bind with the metal. Since most organic ligands used in this process are insoluble or undergo oxidation in the aqueous phase, the chelating agent is initially added to the organic phase and extracted into the aqueous phase. The metal-ligand complex is...
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In mechanics, the product of inertia and moments of inertia of area help to calculate the stability and performance of various structures and components. The coordinate transformation relations are used to calculate the moments and products of inertia for an area about the inclined axes. Further, the moments and products of inertia with respect to the principal axes can be determined using the moments and products of inertia about the inclined axes.
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Forces play a crucial role in the study of physics and engineering. They are essential in describing the motion, behavior, and equilibrium of objects in the physical world. Forces can be classified based on their origin, type, and direction of action.
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IR spectra are divided into two main regions: the diagnostic region and the fingerprint region. The diagnostic region of the spectrum lies above 1500 cm−1. The absorptions resulting from single-bond vibrations of the N–H, C–H, and O–H stretch at higher wavenumbers and appear on the left side of the spectrum. The stretching absorptions of the C≡C and C≡N occur between 2100–2300 cm−1. In contrast, those arising from stretching absorptions of the...
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相关实验视频

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Fruit Volatile Analysis Using an Electronic Nose
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基于深度特征和主要成分分析的蔬菜和水果新鲜度检测.

Yue Yuan1, Xianlong Chen2

  • 1School of Information Engineering, Shenyang University, Shenyang, 110042, China.

Current research in food science
|January 8, 2024
PubMed
概括

这项研究引入了一种新的深度学习方法,用于检测蔬菜和水果的新鲜度. 结合来自GoogLeNet,DenseNet-201和ResNeXt-101模型的功能,实现了96.98%的准确性,提高了客观和高效的新鲜度检测.

科学领域:

  • 农业科学 农业科学
  • 计算机科学 计算机科学
  • 食品科学 食品科学 食品科学

背景情况:

  • 目前用于检测蔬菜和水果新鲜度的手动方法是主观和不准确的,阻碍了大规模的高效评估.
  • 现有自动化方法中人工提取的特征显示适应性差,限制了新鲜度检测效率.
  • 客观,准确和高效的新鲜度检测对于消费者健康,行业质量和市场竞争力至关重要.

研究的目的:

  • 开发一种用于客观,准确和高效地检测蔬菜和水果新鲜度的新方法.
  • 利用预训练的深度学习模型的深度特征来提高新鲜度评估.
  • 提高自动化新鲜度检测系统的适应性和效率.

主要方法:

  • 通过使用预先训练的深度学习模型 (GoogLeNet,DenseNet-201,ResNeXt-101) 从大小调整的蔬菜和水果图像中提取了深度特征.
  • 提取的深层特征被合并并使用主要组件分析 (PCA) 来减少维度.
  • 在减少的功能集上,使用三个不同的机器学习分类器进行了新鲜度检测.

主要成果:

  • 经过PCA维度减小后,来自GoogLeNet,DenseNet-201和ResNeXt-101的综合深度功能实现了最高的精度.
  • 拟议的方法在蔬菜和水果新鲜度检测方面达到96.98%的准确率.
关键词:
深度特征提取 深度特征提取深度学习是一种深度学习.水果和蔬菜的新鲜度检测仪机器学习是机器学习.在PCA中,PCA是PCA.

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  • 结果表明,与传统的特征提取方法相比,性能优越.
  • 结论:

    • 提出的基于深度学习的方法显著提高了蔬菜和水果新鲜度检测的客观性,准确性和效率.
    • 结合来自多个预训练深度学习架构的功能,可以提高检测性能.
    • 这种方法显示出在农业和食品行业实际应用的巨大潜力.