Using machine learning technique for disease outbreak prediction in rainbow trout ( <i>Oncorhynchus mykiss</i> ) farms-Reference-Cited by-同舟云学术

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Using machine learning technique for disease outbreak prediction in rainbow trout ( Oncorhynchus mykiss ) farms

Published:2022-10-18 Issue:18 Volume:53 Page:6721-6732
ISSN:1355-557X
Container-title:Aquaculture Research
language:en
Short-container-title:Aquaculture Research

Author:

Yilmaz Mesut¹,Çakir Mustafa²,Oral Okan³,Oral Mükerrem Atalay⁴,Arslan Tülin⁵

Affiliation:

1. Faculty of Fisheries Akdeniz University Antalya Turkey

2. Iskenderun Vocational School of Higher Education İskenderun Technical University İskenderun Turkey

3. Faculty of Engineering Akdeniz University Antalya Turkey

4. Elmalı Vocational School of Higher Education Akdeniz University Antalya Turkey

5. Faculty of Fisheries Muğla Sıtkı Koçman University Muğla Turkey

Publisher

Hindawi Limited

Subject

Aquatic Science

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/are.16140

Reference63 articles.

1. Fish response to hypoxia stress: growth, physiological, and immunological biomarkers

2. Experiments, quasi-experiments, and case studies: A review of empirical methods for evaluating decision support systems

3. Analyzing the Quality of Water and Predicting the Suitability for Fish Farming based on IoT in the Context of Bangladesh

4. Fish Disease Detection Using Image Based Machine Learning Technique in Aquaculture

5. Elma Bitkisindeki Hastalıkların Yapay Zekâ Yöntemleri ile Tespiti ve Yapay Zekâ Yöntemlerinin Performanslarının Karşılaştırılması

Cited by 6 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Computer-Simulated Virtual Image Datasets to Train Machine Learning Models for Non-Invasive Fish Detection in Recirculating Aquaculture;Sensors;2024-09-07

2. Antibiotic susceptibility and resistance genes profiles of Vagococcus salmoninarum in a rainbow trout (Oncorhyncus mykiss, Walbaum) farm;PeerJ;2024-03-28

3. Dr. Fish: A Deep Learning-Based Mobile Application for Ornamental Fish Industry in Sri Lanka;2023 5th International Conference on Advancements in Computing (ICAC);2023-12-07

4. An Integrated GIS-Based Reinforcement Learning Approach for Efficient Prediction of Disease Transmission in Aquaculture;Information;2023-10-24

5. Accuracy assessment of RFerns, NB, SVM, and kNN machine learning classifiers in aquaculture;Journal of King Saud University - Science;2023-08

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