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Table of Contents
Chapter 1. Plant Growth Promoting Rhizobacteria for Sustainable Agriculture
Chapter 2. Plant Microbes Interactions and Its Effect on Crop Productivity
Chapter 3. Rhizobacterial biostimulants: efficacy in enhanced productivity and sustainable agriculture
Chapter 4. The Role of Arbuscular Mycorrhiza in Sustainable Agriculture
Chapter 5. Biocontrol Efficacy of Biomass and Secondary Metabolites of P. fluorescens Against Predominant Pest Affecting Agricultural Fields
Chapter 6. Exopolysaccharide-producing Azotobacter for bioremediation of heavy metal-contaminated soil
Chapter 7. Utilization of Arbuscular Mycorrhizal Fungi to boom the Efficiency and Product nature of Horticultural Crops
Chapter 8. Microbial Remediation of Persistent Agrochemicals
Chapter 9. Microbes Based Pesticides for Insect Pest Control and Their Management
Chapter 10. In-silico Tools and Approach of CRISPR Application in Agriculture
Chapter 11. Application of Bioinformatics in the Plant Pathology Research
Chapter 12. New Age Genomic Measures for Uncovering Plant-Microbiome Interactions: Tools, Pipelines and Guidance Map for Genomic Data Mining
Chapter 13. Bioinformatics: A Tool for Sustainable Agriculture
Chapter 14. Recent Advances in Deep Learning CNN Models for Plant Disease Detection.
Chapter 2. Plant Microbes Interactions and Its Effect on Crop Productivity
Chapter 3. Rhizobacterial biostimulants: efficacy in enhanced productivity and sustainable agriculture
Chapter 4. The Role of Arbuscular Mycorrhiza in Sustainable Agriculture
Chapter 5. Biocontrol Efficacy of Biomass and Secondary Metabolites of P. fluorescens Against Predominant Pest Affecting Agricultural Fields
Chapter 6. Exopolysaccharide-producing Azotobacter for bioremediation of heavy metal-contaminated soil
Chapter 7. Utilization of Arbuscular Mycorrhizal Fungi to boom the Efficiency and Product nature of Horticultural Crops
Chapter 8. Microbial Remediation of Persistent Agrochemicals
Chapter 9. Microbes Based Pesticides for Insect Pest Control and Their Management
Chapter 10. In-silico Tools and Approach of CRISPR Application in Agriculture
Chapter 11. Application of Bioinformatics in the Plant Pathology Research
Chapter 12. New Age Genomic Measures for Uncovering Plant-Microbiome Interactions: Tools, Pipelines and Guidance Map for Genomic Data Mining
Chapter 13. Bioinformatics: A Tool for Sustainable Agriculture
Chapter 14. Recent Advances in Deep Learning CNN Models for Plant Disease Detection.