[HTML][HTML] Using deep learning neural network in artificial intelligence technology to classify beef cuts

S GC, B Saidul Md, Y Zhang, D Reed, M Ahsan… - Frontiers in …, 2021 - frontiersin.org
The objective of this research was to evaluate the deep learning neural network in artificial
intelligence (AI) technologies to rapidly classify seven different beef cuts (bone in rib eye …

[PDF][PDF] Deep learning model based on ResNet-50 for beef quality classification

SE Abdallah, WM Elmessery, MY Shams… - Inf. Sci …, 2023 - digitalcommons.aaru.edu.jo
Food quality measurement is one of the most essential topics in agriculture and industrial
fields. To classify healthy food using computer visual inspection, a new architecture was …

Feasibility study of beef quality assessment using computer vision and Deep Neural Network (DNN) algorithm

WK Tan, Z Husin, MAH Ismail - 2020 8th International …, 2020 - ieeexplore.ieee.org
The beef quality relies upon the colour score of muscle during the grading stage. Colour
scoring to be used in beef grading would be very critical and the current way of identification …

[PDF][PDF] Classification of beef by using artificial intelligence

JM Lee, IH Jung, K Hwang - Webology, 2022 - webology.org
This paper aims to develop an application that classifies the quality of beef via Artificial
Intelligence technology, which has experienced rapid technological growth in recent years …

Combining deep residual neural network features with supervised machine learning algorithms to classify diverse food image datasets

P McAllister, H Zheng, R Bond, A Moorhead - Computers in biology and …, 2018 - Elsevier
Obesity is increasing worldwide and can cause many chronic conditions such as type-2
diabetes, heart disease, sleep apnea, and some cancers. Monitoring dietary intake through …

Deep learning feature extraction for image-based beef carcass yield estimation

C Wakholi, J Kim, S Nabwire, KD Kwon, C Mo… - Biosystems …, 2022 - Elsevier
Highlights•Deep learning and image analysis are used to detect and extract useful features
from carcass images.•The extracted features are used to effectively estimate 23 key beef …

Identification of pork meat freshness using neural networks

JA Bacus - 2021 IEEE International Conference on Electronic …, 2021 - ieeexplore.ieee.org
Pork meat freshness level is a vital factor in determining its quality for consumption. Sensory
testing, physical and chemical testing, microbiological testing, and instrument analysis are …

Automated food image classification using deep learning approach

S Yadav, S Chand - 2021 7th international conference on …, 2021 - ieeexplore.ieee.org
Food image classification is an emerging research field due to its increasing benefits in the
health and medical sectors. For sure, in the future automated food recognition tools will help …

Klasifikasi Citra Daging Menggunakan Deep Learning dengan Optimisasi Hard Voting

KBV Putra, IPA Bayupati, DMS Arsa - Jurnal RESTI (Rekayasa …, 2021 - jurnal.iaii.or.id
Meat is a staple food for some Indonesian people, apart from the taste, meat also contains
vitamins and minerals that are good for the human body, however, not all meat can be …

Classification of chicken meat freshness using convolutional neural network algorithms

GB Putra, E Prakasa - 2020 International Conference on …, 2020 - ieeexplore.ieee.org
Broiler chicken meat is one of the most widely consumed meat types in Indonesia, this high
level of consumption makes a lot of consumer demand in the market. However, there was a …