Emerging Omics Technologies for Sustainable Agriculture

Name: Emerging Omics Technologies for Sustainable Agriculture
Price: 200 USD
Availability: InStock
ISBN: 9780443403163

by Geerten W. Vuister, Ajay Kumar, Navaneet Chaturvedi, Gustavo Santoyo

1st Edition

Publisher: Academic Press

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Agricultural Sciences

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Book Details

Print ISBN	9780443403163
eText ISBN	9780443403170
Publisher	Academic Press
Publishing Year	2026
Edition	1st Edition
Language	English
Pages	512

Emerging Omics Technologies for Sustainable Agriculture, 1st Edition presents a comprehensive academic overview of how genomics, proteomics, and artificial intelligence apply to sustainable agricultural production. The text examines how biological data and computational tools combine to support efficient crop management. It assists researchers and academics in agricultural and crop sciences who require systematic technical insights into modern crop systems.

The volume explores methods in precision farming designed to optimize crop yield while reducing environmental impact. It details technical developments across transcriptomics, phenomics, and genome editing targeted toward crop improvement. Furthermore, these biological and computational frameworks extend directly to continuous soil health monitoring across varied agricultural environments.

A dedicated section examines cryopreservation processes for virus eradication in horticultural species, offering a concrete example of specialized plant protection. This publication provides agricultural scientists and academic researchers with a structured reference for integrating omics research into sustainable farming strategies.

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