AI-Driven Plant Science: Advancing Crop Performance Through Omics Integration and Physiology
Editat de Osamah Shihab Albahrey, Jameel R. Al-Obaidien Limba Engleză Paperback – feb 2027
- 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
Preț: 897.58 lei
Preț vechi: 986.35 lei
-9% Precomandă
Carte nepublicată încă
Specificații
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