Non-Destructive Detection of Chicken Freshness Based on Electronic Nose Technology and Transfer Learning
出版年份 2023 全文链接
标题
Non-Destructive Detection of Chicken Freshness Based on Electronic Nose Technology and Transfer Learning
作者
关键词
-
出版物
Agriculture-Basel
Volume 13, Issue 2, Pages 496
出版商
MDPI AG
发表日期
2023-02-20
DOI
10.3390/agriculture13020496
参考文献
相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。- Design of Electronic Nose Detection System for Apple Quality Grading Based on Computational Fluid Dynamics Simulation and K-Nearest Neighbor Support Vector Machine
- (2022) Xiuguo Zou et al. SENSORS
- An optimized Deep Convolutional Neural Network for dendrobium classification based on electronic nose
- (2020) You Wang et al. SENSORS AND ACTUATORS A-PHYSICAL
- Evaluation of fresh meat quality by Hyperspectral Imaging (HSI), Nuclear Magnetic Resonance (NMR) and Magnetic Resonance Imaging (MRI): A review
- (2020) Teresa Antequera et al. MEAT SCIENCE
- A novel data pre-processing method for odour detection and identification system
- (2019) Wentian Zhang et al. SENSORS AND ACTUATORS A-PHYSICAL
- Recognition Pest by Image-Based Transfer Learning
- (2019) Wang Dawei et al. JOURNAL OF THE SCIENCE OF FOOD AND AGRICULTURE
- A New Method of Mixed Gas Identification Based on a Convolutional Neural Network for Time Series Classification
- (2019) Lu Han et al. SENSORS
- Application of Fuzzy Logic in Sensory Evaluation of Food Products: a Comprehensive Study
- (2019) K. Vivek et al. Food and Bioprocess Technology
- Gas Classification Using Deep Convolutional Neural Networks
- (2018) Pai Peng et al. SENSORS
- An embedded system based on DSP platform and PCA-SVM algorithms for rapid beef meat freshness prediction and identification
- (2018) Assia Arsalane et al. COMPUTERS AND ELECTRONICS IN AGRICULTURE
- Detection of Volatile Organic Compounds Arising from Chicken Breast Filets Under Modified Atmosphere Packaging Using TD-GC/MS
- (2017) Daniel Klein et al. Food Analytical Methods
- Intelligent evaluation of total volatile basic nitrogen (TVB-N) content in chicken meat by an improved multiple level data fusion model
- (2017) Urmila Khulal et al. SENSORS AND ACTUATORS B-CHEMICAL
- Deep Learning for Image-Based Cassava Disease Detection
- (2017) Amanda Ramcharan et al. Frontiers in Plant Science
- DeepFruits: A Fruit Detection System Using Deep Neural Networks
- (2016) Inkyu Sa et al. SENSORS
- Applications of emerging imaging techniques for meat quality and safety detection and evaluation: A review
- (2015) Zhenjie Xiong et al. CRITICAL REVIEWS IN FOOD SCIENCE AND NUTRITION
- Non-destructive prediction of thiobarbituricacid reactive substances (TBARS) value for freshness evaluation of chicken meat using hyperspectral imaging
- (2015) Zhenjie Xiong et al. FOOD CHEMISTRY
- Gas Recognition under Sensor Drift by Using Deep Learning
- (2015) Qihe Liu et al. INTERNATIONAL JOURNAL OF INTELLIGENT SYSTEMS
- Nondestructive detection of total volatile basic nitrogen (TVB-N) content in pork meat by integrating hyperspectral imaging and colorimetric sensor combined with a nonlinear data fusion
- (2015) Huanhuan Li et al. LWT-FOOD SCIENCE AND TECHNOLOGY
- Evaluation of chicken freshness using a low-cost colorimetric sensor array with AdaBoost–OLDA classification algorithm
- (2014) Quansheng Chen et al. LWT-FOOD SCIENCE AND TECHNOLOGY
- Development of a food spoilage indicator for monitoring freshness of skinless chicken breast
- (2014) Chompoonoot Rukchon et al. TALANTA
- Hyperspectral Reflectance Imaging Technique for Visualization of Moisture Distribution in Cooked Chicken Breast
- (2013) Lalit Kandpal et al. SENSORS
- MRI-based analysis of feeding background effect on fresh Iberian ham
- (2010) Trinidad Pérez-Palacios et al. FOOD CHEMISTRY
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