Emerging Omics Technologies for Sustainable Agriculture

著者名：Vuister PhD, Geerten W. (EDT)/Kumar PhD, Ajay (EDT)/Chaturvedi PhD, Navaneet (EDT)/Santoyo PhD, Gustavo (EDT)

Academic Press（2026/02/25発売）

• 言語：ENG
• ISBN：9780443403163
• eISBN：9780443403170

Description

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.- Highlights novel emerging technologies in precision agriculture- Includes AI and omics in crop protection- Explores the use of cryopreservation processes for virus eradication in horticultural species

Table of Contents

1. Introduction to emerging omics technologies and sustainable agricultural practices2. Introduction to technological advancements in smart agriculture3. Comparative genomics: insights into enhancing disease resistance in crops4. Advancements in DNA storage: innovations, challenges, and the road ahead5. Precision crop breeding: integrating pan-genomics, CRISPR, and machine learning6. Microbiome dynamics in agricultural systems: from root–microbe interactions to sustainable practices7. Microbial threats in agricultural crops and their management through artificial intelligence approaches8. Agriculture meets artificial intelligence: revolutionizing farming practices through technology9. Machine learning models for crop yield prediction10. Metagenomics and the soil microbiome: shaping the future of sustainable agriculture11. Introduction to technological advancements in smart farming practices12. Climate-resilient agriculture: harnessing cutting-edge technologies for innovation13. Introduction, challenges, and application of artificial intelligence and the Internet of Things for sustainable agriculture14. Role of cryopreservation in plant virus eradication in horticulture15. Emerging omics technologies to combat herbicide-resistant weeds16. Application of machine learning in predicting biochar performance for soil–metal interactions17. Machine learning innovations for accurate crop yield forecasting18. Integrative proteomics, microbiome-based and molecular approaches with implications in plant health management19. Impact of climate change on plant–microbe interactions in agroecosystems