Machine Learning in Farm Animal Behavior using Python

Abir Hussain author Natasa Kleanthous author

Format:Hardback

Publisher:Taylor & Francis Ltd

Published:6th Mar '25

Currently unavailable, and unfortunately no date known when it will be back

Machine Learning in Farm Animal Behavior using Python cover

This book is a comprehensive guide to applying machine learning to animal behavior analysis, focusing on activity recognition in farm animals. It begins by introducing key concepts of animal behavior and ethology, followed by an exploration of machine learning techniques, including supervised, unsupervised, semi-supervised, and reinforcement learning. The practical section covers essential steps like data collection, preprocessing, exploratory data analysis, feature extraction, model training, and evaluation, using Python.

The book emphasizes the importance of high-quality data and discusses various sensors and annotation methods for effective data collection. It addresses key machine learning challenges such as generalization and data issues. Advanced topics include feature selection, model selection, hyperparameter tuning, and deep learning algorithms. Practical examples and Python implementations are provided throughout, offering hands-on experience for researchers, students, and professionals aiming to apply machine learning to animal behavior analysis.

ISBN: 9781032628639

Dimensions: unknown

Weight: 920g

394 pages