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Machine Learning in Farm Animal Behavior Using Python | Kleanthous N. | 1st Edition | Taylor & Francis Group (English Medium)
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| 22203-22203 |
[Shipping Cost = Standard Mode, Expedite Mode]
Machine Learning in Farm Animal Behavior Using Python | Kleanthous N. | 1st Edition | Taylor & Francis Group (English Medium)
Machine learning has revolutionized various industries, and now it is making its mark in the field of farm animal behavior. "Machine Learning in Farm Animal Behavior Using Python" by Kleanthous N. is a comprehensive guide that explores the application of machine learning techniques in understanding and predicting farm animal behavior. This book introduces readers to the fundamentals of machine learning and how it can be used to analyze large datasets related to farm animal behavior. The author provides step-by-step instructions on how to implement various machine learning algorithms using Python programming language. Readers will learn how to preprocess data, train models, evaluate performance, and make predictions based on real-world farm animal behavior data. With the help of this book, farmers, researchers, and students interested in animal science can gain valuable insights into the behavior patterns of farm animals. By leveraging machine learning techniques, they can improve livestock management practices, enhance animal welfare, and optimize farming operations. Key features of "Machine Learning in Farm Animal Behavior Using Python" include: - An overview of machine learning concepts and algorithms - Hands-on examples using Python code snippets - Case studies showcasing the application of machine learning in analyzing farm animal behavior - Guidance on interpreting model results and making informed decisions - Practical tips for implementing machine learning solutions in agricultural settings Whether you are a seasoned data scientist or a novice looking to explore the intersection of technology and agriculture, this book offers a wealth of knowledge that can help you harness the power of machine learning in understanding farm animal behavior. Don't miss out on this groundbreaking resource that is sure to shape the future of farming practices worldwide!Machine Learning in Farm Animal Behavior Using Python, 1st Edition by Kleanthous N. is an innovative and interdisciplinary resource that combines artificial intelligence with animal science to analyze and understand farm animal behavior. Published by Taylor & Francis Group in 2025, this book is ideal for students, researchers, and professionals working in data science, agriculture, veterinary science, and precision livestock farming.
Search Keywords - Machine Learning applications in agriculture, Python programming for analyzing farm animal behavior, Farm animal behavior prediction using machine learning, Livestock management with artificial intelligence, Data science techniques for studying animal behavior, Machine Learning algorithms for farming industry, Animal welfare optimization through technology, Implementing AI in agriculture sector, Predictive modeling for livestock behavior analysis, Farming practices enhanced by machine learning, Agricultural data analysis using Python, Automated decision-making in livestock farming, Improving farming operations with data-driven insights, Machine Learning solutions for animal science research, Precision livestock farming techniques, Advanced analytics for understanding farm animals, Artificial intelligence applications in veterinary science, Predictive modeling for sustainable agriculture, Innovative technologies for monitoring animal behavior, Enhancing productivity through smart farming strategies 1. Machine learning in farm animal behavior, 2. Python for farm animal behavior analysis, 3. Farm animal behavior research methods, 4. Data analysis in farm animal behavior, 5. Taylor & Francis Group books, 6. Kleanthous N. books, 7. Machine learning algorithms for animal behavior, 8. Python programming for animal behavior studies, 9. Farm animal welfare and behavior, 10. Animal behavior research techniques
Machine learning has revolutionized various industries, and now it is making its mark in the field of farm animal behavior. "Machine Learning in Farm Animal Behavior Using Python" by Kleanthous N. is a comprehensive guide that explores the application of machine learning techniques in understanding and predicting farm animal behavior. This book introduces readers to the fundamentals of machine learning and how it can be used to analyze large datasets related to farm animal behavior. The author provides step-by-step instructions on how to implement various machine learning algorithms using Python programming language. Readers will learn how to preprocess data, train models, evaluate performance, and make predictions based on real-world farm animal behavior data. With the help of this book, farmers, researchers, and students interested in animal science can gain valuable insights into the behavior patterns of farm animals. By leveraging machine learning techniques, they can improve livestock management practices, enhance animal welfare, and optimize farming operations. Key features of "Machine Learning in Farm Animal Behavior Using Python" include: - An overview of machine learning concepts and algorithms - Hands-on examples using Python code snippets - Case studies showcasing the application of machine learning in analyzing farm animal behavior - Guidance on interpreting model results and making informed decisions - Practical tips for implementing machine learning solutions in agricultural settings Whether you are a seasoned data scientist or a novice looking to explore the intersection of technology and agriculture, this book offers a wealth of knowledge that can help you harness the power of machine learning in understanding farm animal behavior. Don't miss out on this groundbreaking resource that is sure to shape the future of farming practices worldwide!Machine Learning in Farm Animal Behavior Using Python, 1st Edition by Kleanthous N. is an innovative and interdisciplinary resource that combines artificial intelligence with animal science to analyze and understand farm animal behavior. Published by Taylor & Francis Group in 2025, this book is ideal for students, researchers, and professionals working in data science, agriculture, veterinary science, and precision livestock farming.
This book introduces the application of machine learning techniques to monitor, predict, and improve animal behavior and welfare in farm environments. It provides a strong foundation in both animal behavior science and Python-based machine learning, making it accessible even to readers who are new to programming or AI concepts.
The content covers essential topics such as data collection from sensors and monitoring systems, preprocessing of behavioral data, supervised and unsupervised learning models, and predictive analytics. It also explores real-world applications like detecting health issues, optimizing feeding patterns, improving productivity, and enhancing animal welfare through intelligent systems.
The 1st edition emphasizes practical learning by including Python-based examples, algorithms, and case studies that demonstrate how machine learning models can be implemented in agricultural settings. Readers will gain hands-on knowledge of tools and techniques used in modern smart farming and precision livestock management.
With 406 pages of detailed content, this hardbound edition is supported by diagrams, code snippets, and real-world datasets that make complex concepts easier to understand. It serves as both a learning guide and a reference for integrating AI technologies into farm management practices.
Whether you are a student exploring agricultural technology, a researcher in animal behavior, or a professional in data science and livestock management, this book provides valuable insights into the future of smart farming.
Key Features:
- First edition (2025) integrating machine learning with animal behavior
- Focus on Python-based implementation and real-world applications
- Covers data collection, preprocessing, and predictive modeling
- Applications in animal welfare, health monitoring, and productivity
- Includes practical examples, case studies, and code snippets
- Ideal for students, researchers, and professionals in agri-tech and AI
Search Keywords - Machine Learning applications in agriculture, Python programming for analyzing farm animal behavior, Farm animal behavior prediction using machine learning, Livestock management with artificial intelligence, Data science techniques for studying animal behavior, Machine Learning algorithms for farming industry, Animal welfare optimization through technology, Implementing AI in agriculture sector, Predictive modeling for livestock behavior analysis, Farming practices enhanced by machine learning, Agricultural data analysis using Python, Automated decision-making in livestock farming, Improving farming operations with data-driven insights, Machine Learning solutions for animal science research, Precision livestock farming techniques, Advanced analytics for understanding farm animals, Artificial intelligence applications in veterinary science, Predictive modeling for sustainable agriculture, Innovative technologies for monitoring animal behavior, Enhancing productivity through smart farming strategies 1. Machine learning in farm animal behavior, 2. Python for farm animal behavior analysis, 3. Farm animal behavior research methods, 4. Data analysis in farm animal behavior, 5. Taylor & Francis Group books, 6. Kleanthous N. books, 7. Machine learning algorithms for animal behavior, 8. Python programming for animal behavior studies, 9. Farm animal welfare and behavior, 10. Animal behavior research techniques
Product Details
| SKU / BOOK Code: | ML-FARM-ANIMAL-BEHAVIOR-PYTHON |
| Publisher: | Taylor & Francis Group |
| Author: | Kleanthous N |
| Binding Type: | Hardcover |
| No. of Pages: | 406 |
| ISBN-10: | NA |
| ISBN-13: | NA |
| Edition: | 1st |
| Language: | English Medium |
| Publish Year: | 2026-01 |
| Weight (g): | 450 |
| Product Condition: | New |
| Reading Age: | Above 18 Years |
| Country of Origin: | India |
| Genre: | Sciences, Technology & Medicine |
| Manufacturer: | Taylor & Francis Group |
| Importer: | Taylor & Francis Group |
| Packer: | Fullfilled by Supplier |
Product Description
Machine Learning in Farm Animal Behavior Using Python | Kleanthous N. | 1st Edition | Taylor & Francis Group (English Medium)
Machine learning has revolutionized various industries, and now it is making its mark in the field of farm animal behavior. "Machine Learning in Farm Animal Behavior Using Python" by Kleanthous N. is a comprehensive guide that explores the application of machine learning techniques in understanding and predicting farm animal behavior. This book introduces readers to the fundamentals of machine learning and how it can be used to analyze large datasets related to farm animal behavior. The author provides step-by-step instructions on how to implement various machine learning algorithms using Python programming language. Readers will learn how to preprocess data, train models, evaluate performance, and make predictions based on real-world farm animal behavior data. With the help of this book, farmers, researchers, and students interested in animal science can gain valuable insights into the behavior patterns of farm animals. By leveraging machine learning techniques, they can improve livestock management practices, enhance animal welfare, and optimize farming operations. Key features of "Machine Learning in Farm Animal Behavior Using Python" include: - An overview of machine learning concepts and algorithms - Hands-on examples using Python code snippets - Case studies showcasing the application of machine learning in analyzing farm animal behavior - Guidance on interpreting model results and making informed decisions - Practical tips for implementing machine learning solutions in agricultural settings Whether you are a seasoned data scientist or a novice looking to explore the intersection of technology and agriculture, this book offers a wealth of knowledge that can help you harness the power of machine learning in understanding farm animal behavior. Don't miss out on this groundbreaking resource that is sure to shape the future of farming practices worldwide!Machine Learning in Farm Animal Behavior Using Python, 1st Edition by Kleanthous N. is an innovative and interdisciplinary resource that combines artificial intelligence with animal science to analyze and understand farm animal behavior. Published by Taylor & Francis Group in 2025, this book is ideal for students, researchers, and professionals working in data science, agriculture, veterinary science, and precision livestock farming.
Search Keywords - Machine Learning applications in agriculture, Python programming for analyzing farm animal behavior, Farm animal behavior prediction using machine learning, Livestock management with artificial intelligence, Data science techniques for studying animal behavior, Machine Learning algorithms for farming industry, Animal welfare optimization through technology, Implementing AI in agriculture sector, Predictive modeling for livestock behavior analysis, Farming practices enhanced by machine learning, Agricultural data analysis using Python, Automated decision-making in livestock farming, Improving farming operations with data-driven insights, Machine Learning solutions for animal science research, Precision livestock farming techniques, Advanced analytics for understanding farm animals, Artificial intelligence applications in veterinary science, Predictive modeling for sustainable agriculture, Innovative technologies for monitoring animal behavior, Enhancing productivity through smart farming strategies 1. Machine learning in farm animal behavior, 2. Python for farm animal behavior analysis, 3. Farm animal behavior research methods, 4. Data analysis in farm animal behavior, 5. Taylor & Francis Group books, 6. Kleanthous N. books, 7. Machine learning algorithms for animal behavior, 8. Python programming for animal behavior studies, 9. Farm animal welfare and behavior, 10. Animal behavior research techniques
Machine learning has revolutionized various industries, and now it is making its mark in the field of farm animal behavior. "Machine Learning in Farm Animal Behavior Using Python" by Kleanthous N. is a comprehensive guide that explores the application of machine learning techniques in understanding and predicting farm animal behavior. This book introduces readers to the fundamentals of machine learning and how it can be used to analyze large datasets related to farm animal behavior. The author provides step-by-step instructions on how to implement various machine learning algorithms using Python programming language. Readers will learn how to preprocess data, train models, evaluate performance, and make predictions based on real-world farm animal behavior data. With the help of this book, farmers, researchers, and students interested in animal science can gain valuable insights into the behavior patterns of farm animals. By leveraging machine learning techniques, they can improve livestock management practices, enhance animal welfare, and optimize farming operations. Key features of "Machine Learning in Farm Animal Behavior Using Python" include: - An overview of machine learning concepts and algorithms - Hands-on examples using Python code snippets - Case studies showcasing the application of machine learning in analyzing farm animal behavior - Guidance on interpreting model results and making informed decisions - Practical tips for implementing machine learning solutions in agricultural settings Whether you are a seasoned data scientist or a novice looking to explore the intersection of technology and agriculture, this book offers a wealth of knowledge that can help you harness the power of machine learning in understanding farm animal behavior. Don't miss out on this groundbreaking resource that is sure to shape the future of farming practices worldwide!Machine Learning in Farm Animal Behavior Using Python, 1st Edition by Kleanthous N. is an innovative and interdisciplinary resource that combines artificial intelligence with animal science to analyze and understand farm animal behavior. Published by Taylor & Francis Group in 2025, this book is ideal for students, researchers, and professionals working in data science, agriculture, veterinary science, and precision livestock farming.
This book introduces the application of machine learning techniques to monitor, predict, and improve animal behavior and welfare in farm environments. It provides a strong foundation in both animal behavior science and Python-based machine learning, making it accessible even to readers who are new to programming or AI concepts.
The content covers essential topics such as data collection from sensors and monitoring systems, preprocessing of behavioral data, supervised and unsupervised learning models, and predictive analytics. It also explores real-world applications like detecting health issues, optimizing feeding patterns, improving productivity, and enhancing animal welfare through intelligent systems.
The 1st edition emphasizes practical learning by including Python-based examples, algorithms, and case studies that demonstrate how machine learning models can be implemented in agricultural settings. Readers will gain hands-on knowledge of tools and techniques used in modern smart farming and precision livestock management.
With 406 pages of detailed content, this hardbound edition is supported by diagrams, code snippets, and real-world datasets that make complex concepts easier to understand. It serves as both a learning guide and a reference for integrating AI technologies into farm management practices.
Whether you are a student exploring agricultural technology, a researcher in animal behavior, or a professional in data science and livestock management, this book provides valuable insights into the future of smart farming.
Key Features:
- First edition (2025) integrating machine learning with animal behavior
- Focus on Python-based implementation and real-world applications
- Covers data collection, preprocessing, and predictive modeling
- Applications in animal welfare, health monitoring, and productivity
- Includes practical examples, case studies, and code snippets
- Ideal for students, researchers, and professionals in agri-tech and AI
Search Keywords - Machine Learning applications in agriculture, Python programming for analyzing farm animal behavior, Farm animal behavior prediction using machine learning, Livestock management with artificial intelligence, Data science techniques for studying animal behavior, Machine Learning algorithms for farming industry, Animal welfare optimization through technology, Implementing AI in agriculture sector, Predictive modeling for livestock behavior analysis, Farming practices enhanced by machine learning, Agricultural data analysis using Python, Automated decision-making in livestock farming, Improving farming operations with data-driven insights, Machine Learning solutions for animal science research, Precision livestock farming techniques, Advanced analytics for understanding farm animals, Artificial intelligence applications in veterinary science, Predictive modeling for sustainable agriculture, Innovative technologies for monitoring animal behavior, Enhancing productivity through smart farming strategies 1. Machine learning in farm animal behavior, 2. Python for farm animal behavior analysis, 3. Farm animal behavior research methods, 4. Data analysis in farm animal behavior, 5. Taylor & Francis Group books, 6. Kleanthous N. books, 7. Machine learning algorithms for animal behavior, 8. Python programming for animal behavior studies, 9. Farm animal welfare and behavior, 10. Animal behavior research techniques
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