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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.
- Provides in-depth information on smart strategies for crop selection and cropping systems
- Functions as an accessible resource on artificial intelligence, digital farming, remote sensing, and their applications in crop designing
- Describes the principles governing designer crops, climate-resilient crops, and super cropping systems
- Examines an efficient strategy for abiotic and biotic stress management in agricultural and horticultural crops
- Facilitates agricultural scientists and industries in future crop-designing strategies
Language
File size
ISBN-13
978-0-443-40402-3 (9780443404023)
Schweitzer Classification
1. Designer crops: An overview and future perspectives2. Artificial Intelligence in Agriculture: stretegies and challenges3. Automation in agriculture: Strategies and applications4. Remote Sensing Applications for Crop Modelling: Strategies and Future Challenges5. Digital Farming: Current status and future strategies6. Pan-Genomes: Applications in crop designing7. Genic bioprospecting for stress resistant designer crops8. Transgenic crops, an update from the field and implications9. Trait stacking stretegies, applications and future perspectives10. Genome editing stretegies and implications in future crop designing11. Precision breeding for the development of smart fruit crops12. Climate resilient crops: Modern strategies and challenges13. Application of synthetic biology in future crop designing14. Harnessing Speed Breeding to revolutionize crop cultivation: Insights and prospects15. Designing of disease free crops using artificial Intelligence and biotechnological tools16. Gene Mining and Introgression Strategies from Wild Relatives for Trait Improvement in Conventional Crops: Potato a Case Study17. Genetic Engineering for Environmental Sustainability18. Microbial Metagenomics Technology for Sustainable Agriculture and Environment19. Biotechnological Interventions for Designing Climate Smart Crops