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Elsevier

AI-Driven Plant Science

Advancing Crop Performance Through Omics Integration and Physiology

  • 1st Edition - January 1, 2027
  • Latest edition
  • Editors: Osamah Shihab Albahrey, Jameel R. Al-Obaidi
  • Language: English

AI-Driven Plant Science: Advancing Crop Performance Through Omics Integration and Physiology offers cutting-edge insights into the rapidly evolving fields of precision agricu… Read more

Description

AI-Driven Plant Science: Advancing Crop Performance Through Omics Integration and Physiology offers cutting-edge insights into the rapidly evolving fields of precision agriculture, Artificial Intelligence, plant biotechnology and genetic engineering, and bioinformatics. With a strong focus on applications in smart agriculture, crop improvement, and environmental adaptation, it bridges the gap between advanced research and practical implementation. The rapid advancements in AI and biotechnology have created both opportunities and complexities for the agricultural sector. This book fills a critical gap in the existing literature by providing a multidisciplinary resource that integrates AI, biotechnology, and agricultural science. While there are numerous resources on plant biology and AI individually, few works explore their synergistic potential in depth. This book offers actionable insights into how AI can revolutionize crop physiology, stress tolerance, and plant-based research. It also highlights the challenges and ethical considerations of integrating AI into agricultural practices, ensuring a balanced and forward-thinking perspective. AI-Driven Plant Science: Advancing Crop Performance Through Omics Integration and Physiology provides a definitive guide for researchers, industry professionals, and students seeking to understand and apply AI in plant science and crop production.

Key features

  • Integrates AI concepts with real-world case studies and actionable insights
  • Presents a broad and comprehensive exploration of AI application in plant science and crop breeding
  • Leverages emerging technologies in an applied approach

Readership

Scientists, researchers, post-graduate students, academicians, and professionals working in the fields of Plant Omics, Artificial Intelligence, Genomic Breeding, Data Integration, Crop Improvement and Machine Learning

Table of contents

Part 1: Foundations of AI in Plant Omics

1. The Future of Agriculture: AI Meets Plant Sciences

2. AI Fundamentals for Plant Research: Concepts and Applications

3. AI-Driven Systems Biology: Connecting Data for Plant Research

Part 2: Genomics, Breeding, and Epigenetics

4. Decoding Plant Genomes: AI in Sequencing and Annotation

5. AI-Assisted Breeding for Climate-Resilient Crops

6. Epigenetics and AI: Unlocking Gene Regulation in Plants

Part 3: Transcriptomics, Proteomics, and Metabolomics

7. Deep Learning in Plant Transcriptomics: Understanding Gene Expression Dynamics

8. AI in Plant Stress Biology: Predicting Adaptive Responses to Abiotic Stress

9. AI in Plant Proteomics: Mapping Protein Functions and Interactions

10. Metabolomics and AI: Pathways to Discovery

11. AI in Plant Pathology: Disease Resistance, Pest Control, and Weed Management

12. High-Throughput Phenotyping: AI in Action

13. AI for Sustainable Agriculture

Part 4: Future Directions and Ethical Considerations

14. Synthetic Biology and AI: Shaping the Future of Plant Biotechnology

15. Ethical, Regulatory, and Data Security Challenges in AI-Driven Plant Research

Product details

  • Edition: 1
  • Latest edition
  • Published: January 1, 2027
  • Language: English

About the editors

OA

Osamah Shihab Albahrey

O.S. Albahri is an accomplished academic and researcher specializing in Artificial Intelligence, with a focus on decision support systems, machine learning, deep learning, and multicriteria decision-making. Osamah currently serves as a Course Coordinator and Lecturer at various Australian institutions, including the Australian Technical & Management College (affiliated with Western Sydney University and Federation University), the Victorian Institute of Technology, and the Melbourne Institute of Technology. He is also a Research Fellow at The National Energy University in Malaysia, contributing to advanced research in fuzzy multi-criteria decision analysis techniques for energy studies. He earned his PhD in Artificial Intelligence from Sultan Idris Education University in Malaysia, a Master's in Computer Science and Communication from the Arts Sciences and Technology University in Lebanon, and a Bachelor's in Computer Science from Al-Turath University College in Iraq. Osamah has published extensively in leading journals indexed in the Web of Science, covering topics from trustworthy AI models to healthcare informatics and energy system integration. His work has garnered over 9500 citations, with an h-index of 61 according to Google Scholar. He is also an active reviewer for 50 leading international journals and serves as an academic editor for four prestigious journals.

Affiliations and expertise
Course Coordinator and Lecturer, Victorian Institute of Technology, Melbourne, Australia

JA

Jameel R. Al-Obaidi

Dr. Jameel R. Al-Obaidi obtained his PhD in Molecular biology from the University of Malaya, Malaysia. After completing his PhD, Dr jameel works for 7 years at the National Institutes of Biotechnology, Ministry of Science, Technology and Innovation, Malaysia as a senior research officer and then research director. He is currently a lecturer at the Department of Biology, Faculty of Sciences and Mathematics, Universiti Pendidikan Sultan Idris. Dr. Jameel Current research interests include but are not limited to research in Molecular biology, proteomics, protein markers, metabolomics, bioinformatics, plant disease and edible mushroom research. He has published more than 50 scientific articles in peer-reviewed journals and contributed to 6 books. He has received local and international grants. He is involved in a number of national and international research projects around the world. Currently, Dr. Jameel serves as an editor in PLOS One, BMC Molecular and Cell Biology, PEERJ and Journal of Tropical Medicine, he is also a reviewer of several high-impact international scientific journals
Affiliations and expertise
Department of Biology, Universiti Pendidikan Sultan Idris, Perak, Malaysia