Technology-Driven Emerging Omics and Sustainable Agriculture

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

Buch, Englisch, 400 Seiten, Format (B × H): 191 mm x 235 mm, Gewicht: 450 g

Technology-driven Emerging -Omics and 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. Technology-driven Emerging -Omics and 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

• Technische Wissenschaften Verfahrenstechnik | Chemieingenieurwesen | Biotechnologie Biotechnologie
• Wirtschaftswissenschaften Wirtschaftssektoren & Branchen Primärer Sektor

Inhaltsverzeichnis

1. Introduction to technology-driven emerging Omics and sustainable agriculture practices
2. Diagnosis of plant diseases using AI tools
3. Remote Sensing Technologies for Crop Disease Monitoring and Surveillance:

4. Insight into Bioinformatics tools for crop improvement.
5. Genomic Approaches for Disease Resistance in Crops:A Comparative Study;
6. Microbiome Dynamics in Agricultural Systems;
7. Microbial threat in agricultural crops and its management through AI practices;
8. Role of cryopreservation procedures for viruses eradication in horticultural species.
9. Predicting Crop Yields with Machine Learning
10. Metagenomic Exploration of Microbial Diversity and Functional Potential in Agricultural Soils for Soil Health Enhancement and Crop Productivity Optimization;
11. Genomic Variation Impact on Crop Traits: A Bioinformatics Study;
12. Introduction to technological advancements in smart farming practices
13. Climatic resilient agriculture: Harnessing Cutting-Edge Technologies for Innovation
14. Introduction, challenges and application of AI and IoT for sustainable agriculture;
15. Utilization of predictive computational intelligence technique for the evaluation of nutrient status in crops:

16.Technology-driven emerging omics in combating herbicide resistant weeds.

Über Autor(innen)

Santoyo, Gustavo
Dr. Gustavo Santoyo obtained his Doctor of Science degree in Biomedical Sciences at the National Autonomous University of Mexico (UNAM) in 2005 and did postdoctoral studies during 2005-2007 at the Center for Cancer Research, NIH, USA, as well as a sabbatical year (2014-2015) at the Wilfrid Laurier University, Canada. He is currently a full-time research professor at the Institute of Chemical and Biological Research of the Universidad Michoacana de San Nicolás de Hidalgo, in Morelia, Mexico. His research interest is led towards plant-microbe interactions, biocontrol of fungal pathogens, development of bioinoculants for agricultural crops, and basic research on microbial diversity of extreme environments. In these research areas has published 80 scientific publications with more than 4000 citations and a h-factor 29. In the Academy, He has supervised more than 30 doctoral, master and undergrad thesis. Dr. Santoyo is a member of the Mexican Academy of Sciences and the National Research System (SNI) of the National Council of Science and Technology (CONACYT) in Mexico.

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 established a robust foundation, acquiring essential skills that position him well for success in a research-intensive role within the institute. With 7.5 years of experience, Dr. Chaturvedi is enthusiastic about making substantial contributions to the esteemed research community. His research spans across various institutions globally, including Tel Aviv University (Israel), IIT(BHU) India, University of Information Science & Tech North Macedonia, University of Leicester (UK), and PharmCADD in South Korea. These diverse experiences have allowed him to collaborate with multidisciplinary teams, fostering a culture of innovation and excellence. His expertise encompasses molecular dynamics (MD) simulation, molecular docking, free energy calculation, machine learning, protein folding, and computer-aided drug design. Dr. Chaturvedi has authored approximately 25 scientific contributions, and this number continues to grow. These contributions take the form of research and review articles as well as book chapters, published with leading international journals and publishers.

Kumar, Ajay
Dr. Ajay Kumar is currently working as an assistant professor at Amity Institute of Biotechnology, Amity University, Noida, India. Dr. Kumar recently completed his tenure as a visiting scientist from Agriculture Research Organization, Volcani Center, Israel. He has published more than 175 research, review articles, and book chapters in international and national journals. He serves as an associate editor for Frontiers in Microbiology and as guest editor for various journals such as Plants, Microorganisms, and Sustainability. Dr. Kumar has also edited more than 32 books with the leading publishers such as Elsevier, Springer, and Wiley. Dr. Kumar has wide area of research experience, especially in the field of plant-microbe Interactions, microbial biocontrol, Postharvest management of fruits, microbial endophytes related to medicinal plants and cyanobacteria-pesticides interactions.