1 fish disease doaa ali mohammed
TRANSCRIPT
FISH DISEASE DIAGNOSES
By
Doaa Ali Mohammed
Agenda
Introduction
Example of Fish Disease
Existing computer based diagnoses’ Systems
Conclusions and Current State
Ecological Footprint
Introduction
Introduction
Fish Health Monitoring
The different cause of fish disease
Examples of fish disease
Ich / Ick
Examples of fish disease, cont.
Fin / Tail Rot
Examples of fish disease, cont.
Mouth Fungus
Examples of fish disease, cont.
Hole-In-The-Head (HITH)
Existing computer based diagnoses’
Systems
Expert System for Fish Disease Diagnosis Based
on Fuzzy Neural Network
Fuzzy Neural Network
Existing computer based diagnoses’ Systems, cont.
Rough Set and FCM Clustering Algorithm
Existing computer based diagnoses’ Systems, cont.
Existing computer based diagnoses’ Systems, cont.
Rough Set and Classifier Fusion
Existing computer based diagnoses’ Systems, cont.
Existing computer based diagnoses’ Systems, cont.
Artificial bee colony algorithm and pattern search hybridized for global optimization
ABC
Existing computer based diagnoses’ Systems, cont.
Existing computer based diagnoses’ Systems, cont.
Automatic fuzzy partitioning approach using Variable
string length Artificial Bee Colony (VABC) algorithm
Existing computer based diagnoses’ Systems, cont.
Conclusions
ComplexityTimeAccuracyTechnique
HighFastHighES based on
Fuzzy neural
network
HighHighHighRS based on FCM
HighSlowHighRST based on
classifier
lessFasterHigherHABC
LessFasterHigherVABC
Current Status
We are in the process of collecting fish pictures and
compare between used techniques.
The benefits of our approach can detect the
optimal solution, high accuracy, fast, and less
complexity.
