The following are Research Papers using artificial intelligence (AI) and machine learning to track or identify wildlife or various species
Automatic fish species classification in underwater videos: Exploiting pretrained deep neural network models to compensate for limited labelled data
Fish detection and species classification in underwater environments using deep learning with temporal information
Fish Species Recognition Using VGG16 Deep Convolutional Neural Network
Underwater Fish Species Classification using Convolutional Neural Network and Deep Learning
Identify Fish using Machine Learning
Fish Classification – CNN Model
em4.fish
Detect and Classify Species of fish from Fishing Vessel
Automatic Nile Tilapia Fish Classification Approach using Machine Learning Techniques
Automated measurement of species and length of fish by computer vision
Fish species classification in unconstrained underwater environments based on deep learning
DeepFish: Accurate underwater live fish recognition with a deep architecture
Machine learning for image based species identification