[PDF][PDF] Fish Freshness Identification Using Machine Learning: Performance Comparison of k-NN and Naïve Bayes Classifier.

A Yudhana, R Umar, S Saputra - J. Comput. Sci. Eng., 2022 - jcse.kiise.org
Fish is one of the food sources that should be examined for freshness before being
consumed. The consumption of rotten fish can cause various diseases. The rotten fish have …

Implementation of naïve Bayes for fish freshness identification based on image processing

S Saputra, A Yudhana, R Umar - Jurnal RESTI (Rekayasa Sistem …, 2022 - jurnal.iaii.or.id
Consumption of fish as a food requirement for the fulfillment of community nutrition is
increasing. This was followed by an increase in the amount of fish caught that were sold at …

A novel hybrid system for automatic detection of fish quality from eye and gill color characteristics using transfer learning technique

İ Akgül, V Kaya, Ö Zencir Tanır - Plos one, 2023 - journals.plos.org
Fish remains popular among the body's most essential nutrients, as it contains protein and
polyunsaturated fatty acids. It is extremely important to choose the fish consumption …

Fish freshness classification method based on fish image using k-Nearest Neighbor

NMS Iswari - 2017 4th international conference on new …, 2017 - ieeexplore.ieee.org
The potential of fish production in Indonesia is very high because of the Indonesia territory
which consists of waters (sea, lake, river, and pond). However, fish consumption in the …

Fisheye freshness detection using common deep learning algorithms and machine learning methods with a developed mobile application

MB Yildiz, ET Yasin, M Koklu - European Food Research and Technology, 2024 - Springer
Fish is commonly ingested as a source of protein and essential nutrients for humans. To fully
benefit from the proteins and substances in fish it is crucial to ensure its freshness. If fish is …

Prediction of fish quality level with machine learning

E Yavuzer, M Köse - International Journal of Food Science & …, 2022 - Wiley Online Library
In this study, sea bream, sea bass, anchovy and trout were captured and recorded using a
digital camera during refrigerated storage for 7 days. In addition, their total viable counts …

Fish freshness categorization from eyes and gills color features using multi-class artificial neural network and support vector machines

HM Lalabadi, M Sadeghi, SA Mireei - Aquacultural Engineering, 2020 - Elsevier
Developing new techniques to determine fish freshness and quality can enhance nutritional
value of the overall household food basket. In this research, digital image analysis was …

Detection of fish freshness using artificial intelligence methods

ET Yasin, IA Ozkan, M Koklu - European Food Research and Technology, 2023 - Springer
Fish is commonly acknowledged as a highly nutritious food in many regions worldwide, and
humans have been consuming fish for centuries to meet their protein and nutritional …

Computer vision technique for freshness estimation from segmented eye of fish image

A Banwari, RC Joshi, N Sengar, MK Dutta - Ecological Informatics, 2022 - Elsevier
Preserving the quality of fish is a challenging task. Several different cooling methods and
materials are used during their storage, transportation purpose. These are responsible …

Perbandingan Convolution Neural Network Untuk Klasifikasi Kesegaran Ikan Bandeng Pada Citra Mata

E Prasetyo, R Purbaningtyas, RD Adityo… - … Informasi dan Ilmu …, 2021 - sipora.polije.ac.id
Fish, one source of animal protein, is an exciting food for Indonesia's people. From a survey
of food-ingredients demanded, milkfish are ranked fourth compared to other food …