Machine Learning and AI for Precision Plant Epigenetics
暫譯: 精準植物表觀遺傳學中的機器學習與人工智慧

Chen, Jen-Tsung

  • 出版商: Wiley
  • 出版日期: 2026-08-24
  • 售價: $5,890
  • 貴賓價: 9.5$5,595
  • 語言: 英文
  • 頁數: 336
  • 裝訂: Hardcover - also called cloth, retail trade, or trade
  • ISBN: 1394380283
  • ISBN-13: 9781394380282
  • 相關分類: Machine LearningPython
  • 尚未上市,無法訂購

商品描述

Harness artificial intelligence to develop stress-resilient crops for sustainable agriculture

Machine Learning and AI for Precision Plant Epigenetics demonstrates how to develop climate-resilient crops by integrating AI with RNA-based epigenetic technologies. Edited by Professor Jen-Tsung Chen, a leader in plant biotechnology, this volume integrates insightful contributions from experts around the world that discuss how ML and AI models can revolutionize plant breeding and crop improvement to ensure food security under changing environmental conditions.

The book explores applications across sixteen chapters, covering AI-driven epigenome engineering, CRISPR/Cas9-mediated precision editing, intelligent approaches to combat abiotic and biotic stresses, and AI-enabled RNA interference. It explores the use of AI models for studying non-coding RNAs, predicting plant epigenetic landscapes, unlocking heat stress memory mechanisms, and uncovering plant-microbiome interactions critical for productivity.

The book:

  • Integrates machine learning with RNA technologies to enhance epigenetic modifications through non-coding RNAs and refine gene silencing capabilities
  • Demonstrates AI-advanced CRISPR/Cas systems for precision genome engineering to develop crops with enhanced quality, yield, and stress resilience
  • Provides strategies for studying plant epigenetic landscapes under abiotic stress and developing intelligent priming systems against biotic threats
  • Features contributions from leading international researchers at prestigious institutions
  • Addresses ethical and regulatory considerations essential for responsible implementation of artificial intelligence in agricultural biotechnology and crop development

This essential resource is tailored for researchers in plant biology, stress physiology, crop breeding, computational biology, and bioinformatics. It offers a forward-looking perspective on developing sustainable agriculture systems that support global food security in an era of climate change and increasing environmental challenges.

商品描述(中文翻譯)

**利用人工智慧開發抗壓作物以實現可持續農業**

《機器學習與人工智慧在精準植物表觀遺傳學中的應用》展示了如何通過將人工智慧與基於RNA的表觀遺傳技術相結合來開發氣候抗逆作物。本書由植物生物技術領域的領導者陳仁宗教授編輯,匯集了來自全球專家的深刻貢獻,討論了機器學習(ML)和人工智慧(AI)模型如何徹底改變植物育種和作物改良,以確保在不斷變化的環境條件下的糧食安全。

本書涵蓋了十六個章節,探討了AI驅動的表觀基因組工程、CRISPR/Cas9介導的精準編輯、應對非生物和生物壓力的智能方法,以及AI支持的RNA干擾。它探討了使用AI模型研究非編碼RNA、預測植物表觀遺傳景觀、解鎖熱壓力記憶機制,以及揭示對生產力至關重要的植物-微生物組互動。

本書的內容包括:
- 將機器學習與RNA技術相結合,通過非編碼RNA增強表觀遺傳修飾並完善基因沉默能力
- 展示AI先進的CRISPR/Cas系統,用於精準基因組工程,開發具有更高質量、產量和抗壓能力的作物
- 提供在非生物壓力下研究植物表觀遺傳景觀和開發針對生物威脅的智能啟動系統的策略
- 收錄來自知名機構的國際領先研究者的貢獻
- 討論在農業生物技術和作物開發中負責任地實施人工智慧所需的倫理和監管考量

這本重要資源專為植物生物學、壓力生理學、作物育種、計算生物學和生物資訊學的研究人員量身定制。它提供了一個前瞻性的視角,關於在氣候變化和日益增加的環境挑戰時代,如何發展支持全球糧食安全的可持續農業系統。

作者簡介

Jen-Tsung Chen is a Professor of Cell Biology in the Department of Life Sciences at the National University of Kaohsiung in Taiwan. He teaches genomics, proteomics, plant physiology, and plant biotechnology. Dr. Chen is an expert in bioactive compounds, chromatography techniques, plant molecular biology, bioinformatics, plant biotechnology, and systems pharmacology.

作者簡介(中文翻譯)

陳仁宗是台灣高雄大學生命科學系的細胞生物學教授。他教授基因組學、蛋白質組學、植物生理學和植物生物技術。陳博士是生物活性化合物、色譜技術、植物分子生物學、生物資訊學、植物生物技術和系統藥理學的專家。