Diseases in crops cause significant economic losses by decreasing both the yield and quality of produce. Early and accurate diagnosis of these diseases is crucial, as it enhances the effectiveness of management strategies and helps prevent long-term damage to infected plants. The need for precise, swift, and efficient methods for diagnosing diseases and detecting pathogens remains a top priority. Conventional to Emerging Advances in Plant Disease Diagnosis and Pathogen Detection comprehensively addresses key diagnostic methods and pathogen detection techniques, from their origins to the present, guiding us toward the future of plant diagnostics. It serves as a valuable resource for academics, extension workers, and growers, offering the latest information on developments in disease diagnosis and pathogen detection.
The chapters within this volume offer a comprehensive journey through the historical perspectives and groundbreaking innovations that have shaped disease diagnosis. We traverse the conventional methods that have laid the foundation for our understanding, and then embark on a journey through emerging technologies that promise to revolutionize the field. This compilation aims to connect traditional knowledge with the latest technological advancements, offering a comprehensive view of the trajectory of plant disease diagnosis. Created through collaborative efforts of field experts sharing insights and experiences, this resource is not only informative but also forward-thinking.
Features
- Comprehensive coverage of both traditional and contemporary diagnostic techniques for identifying plant diseases and detecting pathogens.
- Detailed exploration of the latest advancements and innovations in disease diagnosis and pathogen detection, providing up-to-date knowledge.
- In-depth discussion of cutting-edge diagnostic strategies, including artificial intelligence, machine learning, biosensors, next-generation sequencing, point-of-care assays, and CRISPR-Cas systems.
- Abundantly illustrated with diagrams, flowcharts, and representations to support field identification and precise diagnosis of plant diseases.
Table of Contents:
1 Plant Disease Diagnosis-Past, Present and Future
2 Microscopy as a tool for the detection of Plant Pathogens
3 Immunodiagnostics: From traditional to recent advances in plant virus detection
4 Molecular Diagnostics with a Special Focus on PCR-Based Approaches for The Detection of Plant Pathogens
5 Droplet Digital PCR in Fungal Pathogen Detection
6 Molecular PLANT-Dx System for Point-of-Use Detection of Pathogens associated with Plant disease
7 DNA Microarrays as a versatile tool for the detection of plant pathogens
8 Applications of robust isothermal amplification assays in the detection of fungal and viral plant pathogens
9 Next Generation Sequencing Approaches: Detection of Plant Pathogens with a Special Focus on Exploring Plant Virome
10 LabonChip Platform for field-based diagnosis of plant pathogens
11 Potential Use of Biosensors in Rapid Detection and Quantification of Pathogens Associated With Plant Disease
12 Applications of versatile CRISPR technology for the detection of targeted plant pathogen
13 High throughput phenomics and artificial intelligence in plant disease diagnosis
14 Artificial intelligence techniques in disease diagnosis
15 Applications of Nanotechnology for Rapid Detection of Plant Pathogens
