Overview

This book presents methods for the application or integration of AI tools (including machine learning, deep learning, and generative AI) with plant omics approaches (including functional genomics, transcriptomics, proteomics, metabolomics, epigenomics, and other omics systems) and proposes AI-based strategies for crops resistant to diverse biotic and abiotic stressors and even complicated or multiple stress conditions. It aims to advance the construction of digital plant omics to assist future breeding for developing stress-resilient crops with high-yield and high-quality traits. The book is meant as a reference and a guide to AI technologies and is designed for students and researchers to efficiently overview these critical topics of plant science and technology and thus inspire ideas of future experiments. This book is the first to provide a comprehensive summary of AI-based strategies for constructing digital plant omics involving functional genomics, transcriptomics, proteomics, metabolomics, and epigenomics for developing digital plant biology at single-cell and spatial resolution. The book: · Presents ways to apply AI approaches for advancing plant omics · Summarizes AI-enhanced plant functional genomics · Includes current achievements in developing stress-resilient crops · Is essential reading for researchers and graduate students of crop science using omics methodologies

Full Product Details

9781800628625

Table of Contents

Reviews

Author Information

Dr. Jen-Tsung Chen is a professor of cell biology at the National University of Kaohsiung in Taiwan. He teaches cell biology, genomics, proteomics, plant physiology, and plant biotechnology. Dr. Chen's research interests include bioactive compounds, chromatography techniques, plant molecular biology, plant biotechnology, bioinformatics, and systems pharmacology. He is an active editor of academic books and international journals to advance the exploration of multidisciplinary knowledge involving plant physiology, plant biotechnology, nanotechnology, materials science, ethnopharmacology, and systems biology. He serves as an associate editor, editorial board member, and guest editor in reputed journals. Dr. Chen has published books in collaboration with international publishers and is currently handling book projects on diverse topics, including AI technologies, drug discovery, drug development, herbal medicine, medicinal biotechnology, nanotechnology, bioengineering, plant functional genomics, plant speed breeding, epigenetics, functional RNAs, and CRISPR-based genome editing. Dr. Chen is a productive author in academic publications and was recognized as one of the World's Top 2% Scientists between 2023 to 2025 by Elsevier and Stanford University. Dr. Chen received the Springer Nature Editor of Distinction Award in 2025.

Tab Content 6

Countries Available