Artificial Intelligence and Computer Vision for Ecological Informatics | Chouhan S S | 1st Edition | Taylor & Francis (English Medium)

18503-18503

BUY AT INSTAMOJO

[Shipping Cost = Standard Mode, Expedite Mode]

Artificial Intelligence and Computer Vision for Ecological Informatics | Chouhan S S | 1st Edition | Taylor & Francis (English Medium)


Artificial Intelligence and Computer Vision for Ecological Informatics is a groundbreaking book that explores the intersection of technology and ecology. Authored by Chouhan S S, this 1st edition book published by Taylor & Francis in English Medium delves into the applications of artificial intelligence and computer vision in the field of ecological informatics. The book starts by providing a comprehensive overview of artificial intelligence, computer vision, and ecological informatics, setting the stage for understanding how these technologies can be harnessed to address environmental challenges. It then delves into various case studies and real-world examples where AI and computer vision have been successfully applied to ecological research and conservation efforts. Readers will learn about cutting-edge techniques such as machine learning algorithms, image processing, deep learning, and more that are being used to analyze large datasets, monitor wildlife populations, track habitat changes, and predict ecological trends. The book also covers ethical considerations and challenges associated with using AI in ecological research. Whether you are a student, researcher, or practitioner in the field of ecology or technology, Artificial Intelligence and Computer Vision for Ecological Informatics offers valuable insights into how these advanced technologies can revolutionize our understanding of the natural world. Key Features: - Provides a comprehensive overview of artificial intelligence, computer vision, and their applications in ecological informatics. - Includes case studies and real-world examples to demonstrate the practical use of AI in ecological research. - Covers cutting-edge techniques such as machine learning algorithms, deep learning, image processing, etc. - Addresses ethical considerations and challenges associated with using AI in ecology. - Suitable for students, researchers, practitioners interested in the intersection of technology and ecology.Artificial Intelligence and Computer Vision for Ecological Informatics by Chouhan S S is a comprehensive and modern academic resource that explores the intersection of artificial intelligence, computer vision, and ecological science. Published in 2025, this first edition hardbound book is designed to equip readers with the knowledge and tools required to apply advanced computational techniques to environmental and ecological challenges.

The book begins with a strong foundation in ecological informatics, highlighting the importance of data-driven approaches in understanding ecosystems, biodiversity, and environmental changes. As ecological datasets continue to grow in size and complexity, the integration of artificial intelligence has become essential. This book clearly explains how machine learning and deep learning methods can be leveraged to process, analyze, and interpret large-scale ecological data efficiently.

A key focus of the book is on computer vision technologies and their applications in ecological research. It provides detailed insights into image analysis techniques used for species recognition, wildlife monitoring, vegetation classification, and habitat assessment. The use of deep learning models such as convolutional neural networks (CNNs) is explained in a practical and accessible manner, making it easier for readers to understand how automated image-based analysis is transforming ecological studies.

The book also explores the role of remote sensing and geospatial technologies in ecological informatics. It demonstrates how satellite imagery, drones, and sensor-based data collection systems can be integrated with AI algorithms to monitor environmental changes such as deforestation, climate shifts, and land-use dynamics. Real-world case studies and applications are included to give readers a practical perspective on how these technologies are used in research and conservation efforts.

In addition, the text covers data management, big data analytics, and predictive modeling techniques. Readers will learn how to structure ecological datasets, apply statistical and computational models, and generate predictions that support decision-making in environmental conservation and resource management. The discussion on cloud computing and scalable AI solutions further enhances the relevance of this book in today’s technology-driven research landscape.

With 402 pages of detailed and well-organized content, this book is ideal for postgraduate students, researchers, and professionals in ecology, environmental science, computer science, and data analytics. It serves both as a textbook for academic study and a reference guide for practical implementation.

This book is an essential resource for anyone looking to understand and apply artificial intelligence and computer vision techniques in ecological informatics, offering a perfect blend of theoretical concepts and real-world applications.

Search Keywords - Artificial Intelligence applications in ecology, Computer Vision for environmental research, AI techniques for ecological informatics, Chouhan S S books on ecology, Taylor & Francis ecological informatics publications, Machine Learning for wildlife conservation, Deep Learning in ecology studies, Image Processing for habitat monitoring, Ecological research using AI, Cutting-edge technologies in environmental science, How AI is transforming ecology studies, Real-world examples of AI in conservation efforts, Ethical considerations in using AI for ecology, Latest trends in ecological informatics, Case studies on AI applications in environmental research, Predicting ecological trends with machine learning, Monitoring wildlife populations with computer vision, Advancements in technology for studying ecosystems, Challenges of using AI in ecology studies, Ecological data analysis with artificial intelligence 1. Artificial intelligence in ecological informatics, 2. Computer vision for ecology, 3. Ecological informatics book, 4. Chouhan S S books, 5. Taylor & Francis books, 6. Artificial intelligence applications in ecology, 7. Computer vision technology in ecology, 8. Ecological data analysis with AI, 9. Best books on ecological informatics, 10. Artificial intelligence and computer vision for environmental studies

Product Details

SKU / BOOK Code:	AI-CV-ECO-CHOUHAN-2025-HB
Publisher:	Taylor & Francis Group
Author:	Chouhan S S
Binding Type:	Hardcover
No. of Pages:	402
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:	Medical Books
Manufacturer:	Taylor & Francis Group
Importer:	Taylor & Francis Group
Packer:	Fullfilled by Supplier

Product Description

Artificial Intelligence and Computer Vision for Ecological Informatics | Chouhan S S | 1st Edition | Taylor & Francis (English Medium)


Artificial Intelligence and Computer Vision for Ecological Informatics is a groundbreaking book that explores the intersection of technology and ecology. Authored by Chouhan S S, this 1st edition book published by Taylor & Francis in English Medium delves into the applications of artificial intelligence and computer vision in the field of ecological informatics. The book starts by providing a comprehensive overview of artificial intelligence, computer vision, and ecological informatics, setting the stage for understanding how these technologies can be harnessed to address environmental challenges. It then delves into various case studies and real-world examples where AI and computer vision have been successfully applied to ecological research and conservation efforts. Readers will learn about cutting-edge techniques such as machine learning algorithms, image processing, deep learning, and more that are being used to analyze large datasets, monitor wildlife populations, track habitat changes, and predict ecological trends. The book also covers ethical considerations and challenges associated with using AI in ecological research. Whether you are a student, researcher, or practitioner in the field of ecology or technology, Artificial Intelligence and Computer Vision for Ecological Informatics offers valuable insights into how these advanced technologies can revolutionize our understanding of the natural world. Key Features: - Provides a comprehensive overview of artificial intelligence, computer vision, and their applications in ecological informatics. - Includes case studies and real-world examples to demonstrate the practical use of AI in ecological research. - Covers cutting-edge techniques such as machine learning algorithms, deep learning, image processing, etc. - Addresses ethical considerations and challenges associated with using AI in ecology. - Suitable for students, researchers, practitioners interested in the intersection of technology and ecology.Artificial Intelligence and Computer Vision for Ecological Informatics by Chouhan S S is a comprehensive and modern academic resource that explores the intersection of artificial intelligence, computer vision, and ecological science. Published in 2025, this first edition hardbound book is designed to equip readers with the knowledge and tools required to apply advanced computational techniques to environmental and ecological challenges.

The book begins with a strong foundation in ecological informatics, highlighting the importance of data-driven approaches in understanding ecosystems, biodiversity, and environmental changes. As ecological datasets continue to grow in size and complexity, the integration of artificial intelligence has become essential. This book clearly explains how machine learning and deep learning methods can be leveraged to process, analyze, and interpret large-scale ecological data efficiently.

A key focus of the book is on computer vision technologies and their applications in ecological research. It provides detailed insights into image analysis techniques used for species recognition, wildlife monitoring, vegetation classification, and habitat assessment. The use of deep learning models such as convolutional neural networks (CNNs) is explained in a practical and accessible manner, making it easier for readers to understand how automated image-based analysis is transforming ecological studies.

The book also explores the role of remote sensing and geospatial technologies in ecological informatics. It demonstrates how satellite imagery, drones, and sensor-based data collection systems can be integrated with AI algorithms to monitor environmental changes such as deforestation, climate shifts, and land-use dynamics. Real-world case studies and applications are included to give readers a practical perspective on how these technologies are used in research and conservation efforts.

In addition, the text covers data management, big data analytics, and predictive modeling techniques. Readers will learn how to structure ecological datasets, apply statistical and computational models, and generate predictions that support decision-making in environmental conservation and resource management. The discussion on cloud computing and scalable AI solutions further enhances the relevance of this book in today’s technology-driven research landscape.

With 402 pages of detailed and well-organized content, this book is ideal for postgraduate students, researchers, and professionals in ecology, environmental science, computer science, and data analytics. It serves both as a textbook for academic study and a reference guide for practical implementation.

This book is an essential resource for anyone looking to understand and apply artificial intelligence and computer vision techniques in ecological informatics, offering a perfect blend of theoretical concepts and real-world applications.

Search Keywords - Artificial Intelligence applications in ecology, Computer Vision for environmental research, AI techniques for ecological informatics, Chouhan S S books on ecology, Taylor & Francis ecological informatics publications, Machine Learning for wildlife conservation, Deep Learning in ecology studies, Image Processing for habitat monitoring, Ecological research using AI, Cutting-edge technologies in environmental science, How AI is transforming ecology studies, Real-world examples of AI in conservation efforts, Ethical considerations in using AI for ecology, Latest trends in ecological informatics, Case studies on AI applications in environmental research, Predicting ecological trends with machine learning, Monitoring wildlife populations with computer vision, Advancements in technology for studying ecosystems, Challenges of using AI in ecology studies, Ecological data analysis with artificial intelligence 1. Artificial intelligence in ecological informatics, 2. Computer vision for ecology, 3. Ecological informatics book, 4. Chouhan S S books, 5. Taylor & Francis books, 6. Artificial intelligence applications in ecology, 7. Computer vision technology in ecology, 8. Ecological data analysis with AI, 9. Best books on ecological informatics, 10. Artificial intelligence and computer vision for environmental studies

Easy Return and Delivery Policy

Since EXAM360 SHOP (Open Store) is capable to deliver all Indian Pin-codes which covers 1.55 Lakhs Pin-codes throughout India. While adding any item to cart / purchasing anything through this website, users are requested to enter the valid address with Name, C/O, House Name/No., Area / Locality, City, District, Landmark, State, Pin-code, Mobile No, Email carefully. If any issues occurred due to invalid / incomplete address in such cases EXAM360 will not take any responsibility for the losses or damages.

We practice Easy Return / Exchange / Refund policy for Buyer Protection, So if you experience any difficulties like (Wrong Item delivered) with any of the product received, you can raise request under Return / Exchange Policy through the EXAM360 Customer support Portal i.e. https://support.exam360.in/ with valid details. Once our executive validate the case properly, we will take necessary steps as per the Policy Standard & we will be more than happy to help you to solve your issues ASAP.

While receiving the item from any of our courier partner, users are requested to check the packaging item properly, If you feel the item is delivering by the logistic partners in tampering conditions, we request our buyers not to accept the product & instantly make a call to the below mentioned HELPLINE Numbers. And, If you purchased an item that was not satisfactory, in such cases we will issue Return / Refund as per the current policy guidelines.

Selling Price & Shipping Fee: In Product details page we have clearly mentioned the Selling Price & Shipping Fees separately, So, when you click on "BUY NOW" You will be charges Selling Price + Shipping Fees. The Shipping fees may different for each products depends on the weight of the Product. The shipping cost includes the courier charges, packaging charges, transport charges, fuel charges and other charges. Sometimes the total payable amount may be different for Instamojo Payment Gateway. Buyers are requested to check before purchasing the products. After making the purchase we may not allow or consider users to modify.
- For more information about return policy CLICK HERE
- If you have questions about the product, please contact our dedicated Customer Support Team at ECG Portal.

Delivery Information

EXAM360 SHOP is capable to deliver All India Pin-codes by the govt. recognised courier partners with full security.
Generally the courier partner support delivery during business hours (9:00 - 20:00) Mon - Sat: Fedex, Trackon, Gati, Delhivery, Indian Post.

The actual delivery time may differ from the given Estimated timeline. For more information on delivery time and shipping charges, please refer to our dedicated support team through ECG Portal.

Note: Expected Delivery time may differ from the Estimated or Projected delivery time & it does not include holidays.