Designer Crops: Implications of Artificial Intelligence and Modern Biotechnological Methods explores the global impact of environmental challenges and climate change on crop productivity. This comprehensive guide reveals how abiotic and biotic stresses and shifting climatic conditions have significantly affected traditional cropping systems and crop yields worldwide. This book discusses designer crops and climate-resilient and super cropping systems by applying diverse information from biotechnology, crop breeding, machine learning, and automation in agriculture. It showcases the evolution of technologies such as high-throughput genome sequencing, artificial intelligence, and precision breeding, revolutionizing crop design for enhanced disease resistance, nutritional value, and increased yields.
In addition, it examines modern biotechnological tools and speed breeding strategies, offering a glimpse into the promising future of super crop development. Contributions from leading global experts on artificial intelligence in agriculture, machine learning for smart agricultural practices, and climate-resilient cropping strategies make this book a must have for upper-level undergraduate students in the fields of crop science, biotechnology, and sustainable agriculture. It will also be useful for researchers and professionals working in food technology, agricultural automation, and environmental consulting.
1. Title of Book - p. i 2. Cover image - p. i 3. Title page - p. ii 4. Table of Contents - p. iii 5. Copyright - p. iv 6. About the editor - p. xvii 7. Preface - p. xix 8. Chapter 1. Designer crops: An overview and future perspectives - p. 1 9. Chapter 2. Artificial intelligence in agriculture: Strategies and challenges - p. 25 10. Chapter 3. Automation in agriculture: Strategies and applications - p. 69 11. Chapter 4. Remote sensing applications for crop modeling: Strategies and future challenges - p. 97 12. Chapter 5. Digital farming: Current status and future strategies - p. 147 13. Chapter 6. Pangenomes: Applications in crop designing - p. 165 14. Chapter 7. Genic bioprospecting for stress-resistant designer crops - p. 201 15. Chapter 8. Transgenic crops: An update from the field and implications - p. 239 16. Chapter 9. Trait stacking strategies, applications, and future perspectives - p. 275 17. Chapter 10. Genome editing strategies and implications in future crop designing - p. 307 18. Chapter 11. Precision breeding for the development of smart fruit crops - p. 347 19. Chapter 12. Climate-resilient crops: Modern strategies and challenges - p. 371 20. Chapter 13. Application of synthetic biology in future crop designing - p. 389 21. Chapter 14. Harnessing speed breeding to revolutionize crop cultivation: Insights and prospects - p. 407 22. Chapter 15. Designing of disease-free crops using artificial Intelligence and biotechnological tools - p. 427 23. Chapter 16. Gene mining and introgression strategies from wild relatives for trait improvement in conventional crops: Potato—a case study - p. 451 24. Chapter 17. Genetic engineering for environmental sustainability - p. 473 25. Chapter 18. Microbial metagenomics technology for sustainable agriculture and environment - p. 505 26. Chapter 19. Biotechnological interventions for designing climate smart crops - p. 531 27. Index - p. 549
Designer Crops: Implications of Artificial Intelligence and Modern Biotechnological Methods explores the global impact of environmental challenges and climate change on crop productivity. This comprehensive guide reveals how abiotic and biotic stresses and shifting climatic conditions have significantly affected traditional cropping systems and crop yields worldwide. This book discusses designer crops and climate-resilient and super cropping systems by applying diverse information from biotechnology, crop breeding, machine learning, and automation in agriculture. It showcases the evolution of technologies such as high-throughput genome sequencing, artificial intelligence, and precision breeding, revolutionizing crop design for enhanced disease resistance, nutritional value, and increased yields.
In addition, it examines modern biotechnological tools and speed breeding strategies, offering a glimpse into the promising future of super crop development. Contributions from leading global experts on artificial intelligence in agriculture, machine learning for smart agricultural practices, and climate-resilient cropping strategies make this book a must have for upper-level undergraduate students in the fields of crop science, biotechnology, and sustainable agriculture. It will also be useful for researchers and professionals working in food technology, agricultural automation, and environmental consulting.
1. Title of Book - p. i 2. Cover image - p. i 3. Title page - p. ii 4. Table of Contents - p. iii 5. Copyright - p. iv 6. About the editor - p. xvii 7. Preface - p. xix 8. Chapter 1. Designer crops: An overview and future perspectives - p. 1 9. Chapter 2. Artificial intelligence in agriculture: Strategies and challenges - p. 25 10. Chapter 3. Automation in agriculture: Strategies and applications - p. 69 11. Chapter 4. Remote sensing applications for crop modeling: Strategies and future challenges - p. 97 12. Chapter 5. Digital farming: Current status and future strategies - p. 147 13. Chapter 6. Pangenomes: Applications in crop designing - p. 165 14. Chapter 7. Genic bioprospecting for stress-resistant designer crops - p. 201 15. Chapter 8. Transgenic crops: An update from the field and implications - p. 239 16. Chapter 9. Trait stacking strategies, applications, and future perspectives - p. 275 17. Chapter 10. Genome editing strategies and implications in future crop designing - p. 307 18. Chapter 11. Precision breeding for the development of smart fruit crops - p. 347 19. Chapter 12. Climate-resilient crops: Modern strategies and challenges - p. 371 20. Chapter 13. Application of synthetic biology in future crop designing - p. 389 21. Chapter 14. Harnessing speed breeding to revolutionize crop cultivation: Insights and prospects - p. 407 22. Chapter 15. Designing of disease-free crops using artificial Intelligence and biotechnological tools - p. 427 23. Chapter 16. Gene mining and introgression strategies from wild relatives for trait improvement in conventional crops: Potato—a case study - p. 451 24. Chapter 17. Genetic engineering for environmental sustainability - p. 473 25. Chapter 18. Microbial metagenomics technology for sustainable agriculture and environment - p. 505 26. Chapter 19. Biotechnological interventions for designing climate smart crops - p. 531 27. Index - p. 549
