Fecha de publicación: 01/01/2025 Fuente: Citrus Byproducts Extraction Abstract
Effective diagnostic, detection, and real-time monitoring tools have become the key components for the effective management of plant pathogens. Climate change, increased demands, and intensified global trade have made the timely detection and identification of diseases in crops to ensure global food productivity and agricultural sustainability. A number of advanced pathogen detection and monitoring techniques have been developed for various plant pathogens, and this field of research is continuously progressing. This chapter describes and reviews various techniques, both direct and indirect, for the identification of plant diseases used in agriculture. Laboratory-based techniques such as polymerase chain reaction (PCR), lateral flow immunoassays (LFIA), fluorescence in-situ hybridization (FISH), enzyme-linked immunosorbent assay (ELISA), gas chromatography-mass spectrometry (GC–MS) are discussed along with an overview of biosensors capable to exhibit selective bio-recognition. The application of the Internet of Things (IoT) and Information and Communication Technology (ICT) in agriculture for phytopathological management has been discussed.