Machine learning for plant biology / edited by Jen-Tsung Chen.
| Other author | Chen, Jen-Tsung |
| Format | Electronic |
| Edition | First edition. |
| Publication Info | Hoboken, NJ : Wiley, 2026. |
| Description | pages cm |
| Supplemental Content | Full text available from eBooks on EBSCOhost |
| Subjects |
| Abstract | "This book explores the integration of artificial intelligence (AI) and machine learning (ML) technologies in plant biology and agriculture. It highlights recent advancements in AI/ML-including deep learning and generative AI-and their applications across a wide range of subfields, such as species identification, functional genomics, phenotyping, stress physiology, plant disease management, genome editing, and smart agriculture. Focusing on the role of ML in analyzing complex biological networks, integrating multi-omics data, and enabling 3D biology through spatial and single-cell omics, the book presents cutting-edge tools and approaches to support sustainable agriculture in the face of climate change. It also discusses ethical considerations and regulatory aspects"-- Provided by publisher. |
| Bibliography note | Includes bibliographical references and index. |
| Access restriction | Available only to authorized users. |
| Technical details | Mode of access: World Wide Web |
| Genre/form | Electronic books. |
| LCCN | 2025027934 |
| ISBN | 9781394329618 hardback |
| ISBN | adobe pdf |
| ISBN | epub |
Availability
| Library | Location | Call Number | Status | Item Actions |
|---|---|---|---|---|
| Electronic Resources | Access Content Online | ✔ Available |