Emerging Omics Technologies for Sustainable Agriculture

Erscheinungsjahr 2026
ISBN: 978-0-443-40316-3
Verlag: Elsevier Science & Technology

Buch, Englisch, Format (B × H): 191 mm x 235 mm, Gewicht: 450 g

Emerging Omics Technologies for Sustainable Agriculture provides a comprehensive overview of the transformative potential of advanced tools such as AI, genomics and proteomics to ensure future agricultural production.
The integration of genomics, transcriptomics, proteomics, and metabolomics has advanced the understanding of plant and microbial systems and the application of this knowledge has enabled precision farming, optimizing crop yield and minimizing environmental impact. There are unprecedented opportunities to enhance crop yields, improve pest and disease management, to optimize resource utilization and to mitigate environmental impacts. Through the use of advanced data analytics, machine learning, and predictive modeling, researchers can decipher complex biological processes and develop innovative solutions for agricultural challenges.
Emerging Omics Technologies for Sustainable Agriculture explores the advancements in AI-driven omics technologies, such as genome editing, transcriptomics, and phenomics, and their applications in crop improvement, soil health monitoring, and precision agriculture.

Autoren/Hrsg.

Vuister, Geerten W.

Kumar, Ajay

Chaturvedi, Navaneet

Santoyo, Gustavo

Fachgebiete

• Mathematik | Informatik EDV | Informatik Angewandte Informatik Bioinformatik
• Naturwissenschaften Biowissenschaften Biowissenschaften Genetik und Genomik (nichtmedizinisch)
• Naturwissenschaften Biowissenschaften Biowissenschaften Systembiologie
• Naturwissenschaften Biowissenschaften Angewandte Biologie Bioinformatik
• Naturwissenschaften Agrarwissenschaften Ackerbaukunde, Pflanzenbau Nutzpflanzen: Biologie, Genetik, Pflanzenzüchtung
• Naturwissenschaften Biowissenschaften Molekularbiologie
• Naturwissenschaften Agrarwissenschaften Agrarwissenschaften Nachhaltige Landwirtschaft

Inhaltsverzeichnis

1. Introduction to emerging omics technologies and sustainable agricultural practices
2. Introduction to technological advancements in smart agriculture
3. Comparative genomics: insights into enhancing disease resistance in crops
4. Advancements in DNA storage: innovations, challenges, and the road ahead
5. Precision crop breeding: integrating pan-genomics, CRISPR, and machine learning
6. Microbiome dynamics in agricultural systems: from root–microbe interactions to sustainable practices
7. Microbial threats in agricultural crops and their management through artificial intelligence approaches
8. Agriculture meets artificial intelligence: revolutionizing farming practices through technology
9. Machine learning models for crop yield prediction
10. Metagenomics and the soil microbiome: shaping the future of sustainable agriculture
11. Introduction to technological advancements in smart farming practices
12. Climate-resilient agriculture: harnessing cutting-edge technologies for innovation
13. Introduction, challenges, and application of artificial intelligence and the Internet of Things for sustainable agriculture
14. Role of cryopreservation in plant virus eradication in horticulture
15. Emerging omics technologies to combat herbicide-resistant weeds
16. Application of machine learning in predicting biochar performance for soil–metal interactions
17. Machine learning innovations for accurate crop yield forecasting
18. Integrative proteomics, microbiome-based and molecular approaches with implications in plant health management
19. Impact of climate change on plant–microbe interactions in agroecosystems

Über Autor(innen)

Kumar, Ajay
Dr. Ajay Kumar is an Assistant Professor in Amity Institute of Biotechnology, Amity University, India. Dr. Kumar completed his Postdoc from Agriculture Research Organization, Volcani center, Rishon Leziyon, Israel. Dr. Kumar has published more than 275 scientific contributions in the form of research and review articles, books or book chapters with leading International Journals or Publishers. He has wide area of research experience, especially in the field of Plant-Microbe Interactions, Microbial biocontrol, Postharvest management, Endophytes related with the medicinal plants and cyanobacteria-pesticides interactions.

Vuister, Geerten W.
Geerten W. Vuister holds a chair position in Structural Biology at the Institute for Structural and Chemical Biology of the University of Leicester and is an honorary professor at the University of Birmingham, associated with the UK National NMR facility. Professor Vuister also chairs the Collaborative Computational Project for NMR (CCPN), a long-standing, international, UKRI-funded project to support biomolecular NMR with software tools, training and establishing best-practices. His research focuses on biomolecular data analysis, including artificial intelligence and machine learning approaches, data remediation, and harvesting for omics type repositories and data exchange. As member of the world-wide PDB (wwPDB) validation task force and member of the working group on integrative structures, and as chair of the NMR-exchange working group, he is directly involved in efforts to leverage the information that can be obtained from integrated omics approaches. Professor Vuister has published over 130 peer-reviewed articles, including in Nature Struct. Mol. Bio., Nature Methods, Structure, J. Am. Chem. Soc., PNAS, Scientific Reports, Mol. Cell and Front. Mol. Biosci.

Chaturvedi, Navaneet
Navaneet Chaturvedi is an assistant professor at the Amity Institute of Biotechnology, Amity University, Noida, India. He has built a solid foundation and essential skills for a research-intensive role. With extensive experience, Dr. Chaturvedi is eager to contribute to the vibrant research community. His work spans institutions worldwide, including Tel Aviv University, IIT BHU, University of Information Science & Tech North Macedonia, University of Leicester, and PharmCADD in South Korea, enabling collaboration with multidisciplinary teams and fostering innovation. His expertise includes molecular dynamics simulation, molecular docking, free energy calculations, machine learning, protein folding, and computer-aided drug design. Dr. Chaturvedi has a growing portfolio of research and review articles and book chapters published in leading international journals and publishers.

Santoyo, Gustavo
Gustavo Santoyo is a Professor of Agrogenomics at the Institute of Chemical and Biological Research, Universidad Michoacana de San Nicolás de Hidalgo, Mexico. His current research focuses on elucidating plant–soil–microbe interactions and on investigations in agrogenomics. He serves as a Special Content Editor for Microbiological Research (Elsevier) and as an Associate Editor for Frontiers in Plant Sciences (Frontiers), Journal of Advanced Research (Elsevier), and Antonie van Leeuwenhoek (Springer). He is a member of the Mexican Academy of Sciences and holds the Nivel III distinction in the Sistema Nacional de Investigadores of Mexico. In 2024, he received the State Award for Science, Technology, and Innovation, granted by the Government of the State of Michoacán.