Abstract:
The field of plant pathology is currently experiencing an array of fascinating transformations on a
global scale, particularly in the realm of research, development, and commercialization of innovative
tools for plant disease assessments. The utilization of spectral sensing technologies, such as multi spectral and hyper-spectral sensing, is revolutionizing field scouting practices and enabling more
accurate and timely assessments of disease severity and hotspots in agricultural fields. Machine
learning and Artificial intelligence-based tools for image and object classification of plant diseases
imagery at the microscopic and macroscopic level is opening up opportunities for field classification
of plant diseases (and other biotic and abiotic issues) for farmers around the world including in
remote places. This also have scope in improving triaging of plant samples coming to plant disease
diagnostic labs in places where these facilities are available, and discovery of invasive diseases. Non destructive testing techniques like Raman spectroscopy is increasingly being used for detecting
changes in plants associated with plant diseases, and characterization of pathogens. Field-based
detection of DNA/RNA targets of plant pathogenic viruses, bacteria and fungi by Recombinase
Polymerase Amplification is increasingly becoming commercial. This is also focused on development
for use by non-skilled personnel. This presentation will offer a comprehensive overview of the latest
research findings conducted in our laboratory, as well as insights from other prominent research
groups in the field. Our discussion will revolve around the transformative potential of these cutting edge techniques for farmers worldwide. By highlighting the advancements in plant disease
assessments, we aim to demonstrate how these new tools can revolutionize farming practices and
contribute to improved crop health and yield. The practical applications and benefits of these
techniques will be explored during the presentation, with emphasis placed on their relevance and
impact in addressing the challenges faced by farmers on a global scale
