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AI-Driven Plant Science: Advancing Crop Performance Through Omics Integration and Physiology

Editat de Osamah Shihab Albahrey, Jameel R. Al-Obaidi
en Limba Engleză Paperback – feb 2027
AI-Driven Plant Science: Advancing Crop Performance Through Omics Integration and Physiology offers cutting-edge insights into the rapidly evolving fields of precision agriculture, Artificial Intelligence, plant biotechnology and genetic engineering, and bioinformatics. With a strong focus on applications in smart agriculture, crop improvement, and environmental adaptation, it bridges the gap between advanced research and practical implementation. The rapid advancements in AI and biotechnology have created both opportunities and complexities for the agricultural sector. This book fills a critical gap in the existing literature by providing a multidisciplinary resource that integrates AI, biotechnology, and agricultural science. While there are numerous resources on plant biology and AI individually, few works explore their synergistic potential in depth. This book offers actionable insights into how AI can revolutionize crop physiology, stress tolerance, and plant-based research. It also highlights the challenges and ethical considerations of integrating AI into agricultural practices, ensuring a balanced and forward-thinking perspective. AI-Driven Plant Science: Advancing Crop Performance Through Omics Integration and Physiology provides a definitive guide for researchers, industry professionals, and students seeking to understand and apply AI in plant science and crop production.

  • Integrates AI concepts with real-world case studies and actionable insights
  • Presents a broad and comprehensive exploration of AI application in plant science and crop breeding
  • Leverages emerging technologies in an applied approach
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Specificații

ISBN-13: 9780443451607
ISBN-10: 0443451605
Pagini: 285
Dimensiuni: 152 x 229 mm
Greutate: 0.45 kg
Editura: ELSEVIER SCIENCE

Cuprins

Part 1: Foundations of artificial intelligence in plant omics
1. The future of agriculture: artificial intelligence meets plant science
2. Artificial intelligence-driven systems biology: connecting data for plant research

Part 2: Genomics, breeding, and epigenetics
3. Decoding plant genomes: artificial intelligence in sequencing and annotation
4. Artificial intelligence-assisted breeding for climate-resilient crops
5. Epigenetics and artificial intelligence: understanding gene regulation in plants

Part 3: Transcriptomics, proteomics, and metabolomics
6. Deep learning in plant transcriptomics: understanding gene expression dynamics
7. Artificial intelligence in plant proteomics: mapping protein functions and interactions
8. Metabolomics and artificial intelligence: pathways to discovery
9. Artificial intelligence in plant pathology: disease resistance, pest control, and weed management
10. High-throughput phenotyping: artificial intelligence in action
11. Artificial intelligence for sustainable agriculture

Part 4: Future directions and ethical considerations
12. Synthetic biology and artificial intelligence: shaping the future of plant biotechnology
13. Ethical, regulatory, and data security challenges in artificial intelligence-driven plant research