Artificial Intelligence in Microbiology - Environmental, Food, Plant and Clinical Microbiology

Due to their high predictive and informative potential, machine learning and deep learning have emerged as essential tools to advance microbiome research. This book provides insights and research findings related to AI in microbiology and demonstrates how AI can be applied to solve complex problems, accelerate research, and improve our understanding of microorganisms. It covers AI and machine learning techniques in plant growth and plant protection, in clinical, food and environmental microbiology. AI in microbiology is an interdisciplinary field, and this book will help bridge the gap between computer science, data analytics, and microbiology.

About the author

Pankaj Kumar, HNBGU, Vivekanand, MNIT, Nidhi Pareek, CURAJ, Ramesh Chandra Dubey, GKV, India.

Summary

Due to their high predictive and informative potential, machine learning and deep learning have emerged as essential tools to advance microbiome research. This book provides insights and research findings related to AI in microbiology and demonstrates how AI can be applied to solve complex problems, accelerate research, and improve our understanding of microorganisms. It covers AI and machine learning techniques in plant growth and plant protection, in clinical, food and environmental microbiology. AI in microbiology is an interdisciplinary field, and this book will help bridge the gap between computer science, data analytics, and microbiology.

Product details

• Assisted by: Ramesh Chandra Dubey (Editor), Pankaj Kumar (Editor), Nidhi Pareek (Editor), Vivekanand (Editor), Vivekanand Vivekanand (Editor)
• Publisher: De Gruyter
• Languages: English
• Product format: Hardback
• Released: 10.11.2025
• EAN: 9783111548272
• ISBN: 978-3-11-154827-2
• No. of pages: 375
• Illustrations: 10 b/w and 30 col. ill., 20 b/w tbl.
• Subjects: Natural sciences, medicine, IT, technology > Technology > Chemical engineering; Biotechnologie, Botanik und Pflanzenwissenschaften, machine learning, Artificial Intelligence, Deep Learning, chemistry, Clinical Microbiology, SCI010000 SCIENCE / Biotechnology, SCI007000 SCIENCE / Life Sciences / Biochemistry, COM004000 COMPUTERS / Intelligence (AI) & Semantics, SCI045000 SCIENCE / Life Sciences / Microbiology, Plant Disease Management, Whole Genome Sequencing.