Part I   Diagnosis and Detection of Plant Pathogens of Field Crops.- Chapter 1. Diagnostics of Major Fungal Pathogens of Rice.- Chapter 2. Recent Developments in the Detection and Diagnosis of Fungal-Bacterial Plant Pathogens - from Lab Assay to Field Detection.- Chapter 3. Recent Advances in the Detection of Plant Viruses and Viroids in Field Crops.- Chapter 4. Multi Locus Gene Characterization of Phytoplasmas.- Chapter 5. Diagnosis of Plant Parasitic Nematodes.- Chapter 6. Diagnosis and Detection of Seed-Borne Pathogens in Field Crops.- Chapter 7. Application of Machine Learning in Plant Disease Detection and Classification.- Chapter 8. Wheat Disease Identification using Artificial Intelligence.- Part II   Management of Field Crop Pathogens / Diseases.- Chapter 9. Bakanae Disease of Rice: Current Status and Management Strategies.- Chapter 10. CRISPR Technology - Plant Disease Management.- Chapter 11. Diagnosis and Management Strategies for Soybean Diseases.- Chapter 12. Field Pea Diseases and their Management through an Integrated Approach.- Chapter 13. Major Fungal Diseases of Pulse Crops and their Management to Mitigate its Losses.- Chapter 14. Advances in Nematode Diseases Management in the Field Crops.- Chapter 15. Rhizoctonia: An Emerging Threat to Field Crops.- Chapter 16. Tapping into the Chickpea Root Microbiome for Combating Fusarium Wilt Disease.- Chapter 17. Nanoparticles Based Strategies to Enhance Plant Disease Protection Techniques of Field Crops.- Chapter 18. Molecular Marker Based Approaches for Crop Improvement.- Chapter 19. Role of ICT and Artificial Intelligence in Disease Diagnosis, Forecast and Management.- Chapter 20. Role of Plant Quarantine under the WTO-SPS Agreement.

Provides the latest evidence-based approach in plant disease diagnosis and management Covers special chapters on CRISPR-Cas mediated technology, and artificial intelligence in plant disease identification Provides easy-to-follow algorithms and key points in each chapter