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Full Description
Technology-driven Emerging -Omics and Sustainable Agriculture provides a comprehensive overview of the transformative potential of advanced tools such as AI, genomics and proteomics to ensure future agricultural production. The integration of genomics, transcriptomics, proteomics, and metabolomics has advanced the understanding of plant and microbial systems and the application of this knowledge has enabled precision farming, optimizing crop yield, and minimizing environmental impact. There are unprecedented opportunities to enhance crop yields, improve pest and disease management, to optimize resource utilization, and to mitigate environmental impacts. Through the use of advanced data analytics, machine learning, and predictive modeling, researchers can decipher complex biological processes and develop innovative solutions for agricultural challenges. Technology-driven Emerging -Omics and Sustainable Agriculture explores the advancements in AI-driven omics technologies, such as genome editing, transcriptomics, and phenomics, and their applications in crop improvement, soil health monitoring, and precision agriculture.
Contents
1. Introduction to technology-driven emerging Omics and sustainable agriculture practices
2. Diagnosis of plant diseases using AI tools
3. Remote Sensing Technologies for Crop Disease Monitoring and Surveillance:
4. Insight into Bioinformatics tools for crop improvement.
5. Genomic Approaches for Disease Resistance in Crops :A Comparative Study;
6. Microbiome Dynamics in Agricultural Systems;
7. Microbial threat in agricultural crops and its management through AI practices;
8. Role of cryopreservation procedures for viruses eradication in horticultural species.
9. Predicting Crop Yields with Machine Learning
10. Metagenomic Exploration of Microbial Diversity and Functional Potential in Agricultural Soils for Soil Health Enhancement and Crop Productivity Optimization;
11. Genomic Variation Impact on Crop Traits: A Bioinformatics Study;
12. Introduction to technological advancements in smart farming practices
13. Climatic resilient agriculture: Harnessing Cutting-Edge Technologies for Innovation
14. Introduction, challenges and application of AI and IoT for sustainable agriculture;
15. Utilization of predictive computational intelligence technique for the evaluation of nutrient status in crops:
16.Technology-driven emerging omics in combating herbicide resistant weeds.
