相关实验视频

Updated: May 10, 2025

Integration of Animal Behavioral Assessment and Convolutional Neural Network to Study Wasabi-Alcohol Taste-Smell Interaction

Integration of Animal Behavioral Assessment and Convolutional Neural Network to Study Wasabi-Alcohol Taste-Smell Interaction

Published on: August 16, 2024

使用双分支层层次的光谱特征感知网络,非破坏性检测冷羊肉的新鲜度

Jixiang E^1,2, Chengjun Zhai³, Xinhua Jiang^1,2

¹College of Computer and Information Engineering, Inner Mongolia Agricultural University, Hohhot 010018, China.

Foods (Basel, Switzerland)

|April 26, 2025

概括

这项研究引入了一个新的深度学习网络,DBHSNet,用于使用高光谱成像来准确检测冷羊肉的新鲜度. 该方法显著提高了肉质监测和确保食品安全的准确性.

科学领域:

食品科学与技术食品科学与技术
频谱学是一种光谱学.
人工智能的人工智能

背景情况:

准确检测肉类新鲜度对于食品安全和质量控制至关重要.
超光谱成像为新鲜度评估提供了丰富的光谱信息,但原始数据需要复杂的处理.
挑战包括数据冗余,重叠的光谱特征和不平衡的样本分布.

研究的目的:

开发一种高精度的方法,通过使用高光谱成像和深度学习来检测冷羊肉的新鲜度.
提出一种新的双分支层次光谱特征感知网络 (DBHSNet),以克服现有方法的局限性.
提高冷链肉类系统实时质量监测的精度.

主要方法:

多阶段数据处理以提高光谱纯度并最大限度地减少冗余.
开发DBHSNet,包括PBCA模块,以改善全球和本地分支机构之间的功能互动.
集成一个任务驱动的MSMHA模块,用于有效的特征融合和捕获光谱动态.
应用动态损失权重来平衡分类性能.

主要成果:

与传统方法相比,DBHSNet在羊肉新鲜度检测中达到高达7.59%的准确性.
拟议的网络展示了优越的加权指标,表明了强的表现.
观察到对顺序光谱波段的认识提高,以及对细粒度光谱细节的捕获改善.

结论:

DBHSNet提供了一种新且有效的方法,用于精确检测冷羊肉的新鲜度.
这项研究为冷链肉类系统的实时质量监测提供了宝贵的支持.
这种高光谱成像和先进深度学习的整合显示了食品安全应用的重大前景.

关键词:

深度学习是一种深度学习.检测新鲜度的新鲜感检测器一个层次的分类分类.这是一种超谱的超光谱.

更多相关视频

Author Spotlight: Enhancement of Salient Object Detection for Smart Grid Applications

Author Spotlight: Enhancement of Salient Object Detection for Smart Grid Applications

Published on: December 15, 2023

Construction of Models for Nondestructive Prediction of Ingredient Contents in Blueberries by Near-infrared Spectroscopy Based on HPLC Measurements

Construction of Models for Nondestructive Prediction of Ingredient Contents in Blueberries by Near-infrared Spectroscopy Based on HPLC Measurements

Published on: June 28, 2016

相关概念视频

¹³C NMR: Distortionless Enhancement by Polarization Transfer (DEPT)

¹³C NMR: Distortionless Enhancement by Polarization Transfer (DEPT)

When proton-coupled carbon-13 spectra are simplified by a broadband proton decoupling technique, structural information about the coupled protons is lost. Distortionless enhancement by polarization transfer (DEPT) is a technique that provides information on the number of hydrogens attached to each carbon in a molecule. While the DEPT experiment utilizes complex pulse sequences, the pulse delay and flip angle are specifically manipulated. The resulting signals have different phases depending on...

IR Frequency Region: Fingerprint Region

IR Frequency Region: Fingerprint Region

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...