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Deep learning for smart fish farming: applications, opportunities and
  challenges

Deep learning for smart fish farming: applications, opportunities and challenges

6 April 2020
Xinting Yang
Song Zhang
Jintao Liu
Qinfeng Gao
S. Dong
Chao Zhou
    AI4CE
ArXivPDFHTML

Papers citing "Deep learning for smart fish farming: applications, opportunities and challenges"

9 / 9 papers shown
Title
Unveiling the frontiers of deep learning: innovations shaping diverse domains
Unveiling the frontiers of deep learning: innovations shaping diverse domains
Shams Forruque Ahmed
Md. Sakib Bin Alam
Maliha Kabir
Shaila Afrin
Sabiha Jannat Rafa
Aanushka Mehjabin
Amir H. Gandomi
AI4CE
40
2
0
06 Sep 2023
Autonomous Underwater Robotic System for Aquaculture Applications
Autonomous Underwater Robotic System for Aquaculture Applications
Waseem Akram
Muhayyuddin Ahmed
L. Saad Saoud
Lakmal Seneviratne
Irfan Hussain
14
1
0
26 Aug 2023
Large Language Models and Foundation Models in Smart Agriculture:
  Basics, Opportunities, and Challenges
Large Language Models and Foundation Models in Smart Agriculture: Basics, Opportunities, and Challenges
Jiajia Li
Mingle Xu
Lirong Xiang
Dong Chen
Weichao Zhuang
Xunyuan Yin
Zhao Li
25
3
0
13 Aug 2023
Towards The Creation Of The Future Fish Farm
Towards The Creation Of The Future Fish Farm
Pavlos Papadopoulos
William J. Buchanan
Dr Sarwar Sayeed
Nikolaos Pitropakis
11
0
0
02 Jan 2023
Internet of Things (IoT) based ECG System for Rural Health Care
Internet of Things (IoT) based ECG System for Rural Health Care
M. Rashid
Mohammod Abul Kashem
Al-Akhir Nayan
Sabrina Afrin Simi
Joyeta Saha
M. Rahman
M. G. Kibria
6
16
0
27 Jul 2022
Computer Vision and Deep Learning for Fish Classification in Underwater
  Habitats: A Survey
Computer Vision and Deep Learning for Fish Classification in Underwater Habitats: A Survey
Alzayat Saleh
M. Sheaves
M. R. Azghadi
26
71
0
14 Mar 2022
Unlocking the potential of deep learning for marine ecology: overview,
  applications, and outlook
Unlocking the potential of deep learning for marine ecology: overview, applications, and outlook
M. G. Olsen
K. Halvorsen
Lei Jiao
Kristian Muri Knausgård
A. H. Martin
M. Moyano
Rebekah A. Oomen
J. H. Rasmussen
T. K. Sørdalen
Susanna Huneide Thorbjørnsen
14
27
0
29 Sep 2021
A Survey on Deep Learning in Medical Image Analysis
A Survey on Deep Learning in Medical Image Analysis
G. Litjens
Thijs Kooi
B. Bejnordi
A. Setio
F. Ciompi
Mohsen Ghafoorian
Jeroen van der Laak
Bram van Ginneken
C. I. Sánchez
OOD
278
10,613
0
19 Feb 2017
Geometric deep learning: going beyond Euclidean data
Geometric deep learning: going beyond Euclidean data
M. Bronstein
Joan Bruna
Yann LeCun
Arthur Szlam
P. Vandergheynst
GNN
238
3,236
0
24 Nov 2016
1