Address the challenges and management strategies for newly emerging diseases in rice in the US and globally in this full-day workshop. The morning session will focus on rice kernel smut, Hoja Blanca virus, bacterial leaf blight (Pantoea ananatis), bacterial panicle blight (Burkhoderia glumae), etc. The afternoon will be dedicated to False Smut, an emerging global disease, and will serve as the annual meeting for the International Rice False Smut Consortium. This meeting, which includes representativees from 22 member organizations across 15 countries is expected to attract additional top research scientists from abroad.
Python and Machine Learning for Plant Pathologists
Saturday, August 2 • 8:00 a.m.–12:00 p.m. • $89 Add to RegistrationWAITLIST
This in-person workshop will focus on leveraging machine learning to analyze and interpret complex data sets, particularly in the context of plant disease detection and management. You’ll engage in both theoretical and hands-on sessions, learning how to utilize Python for data manipulation, visualization, and implementing machine learning algorithms.
Whether you're new to programming or an experienced researcher, this workshop is designed to accommodate varying levels of expertise. Gain valuable insights into interpreting data for informed decision-making and standardizing methodologies for broader applicability across global plant health networks.
Don't miss this opportunity to enhance your skills and contribute to the future of plant health!
Automated Analysis of Pathogen Genomes using PathogenSurveillance and the GenomeRxiv Web Server
Saturday, August 2 • 1:00–5:00 p.m. • $89 Add to Registration
Generation and analysis of whole genome sequence data remains challenging. However, new computational technologies are rapidly making whole genome sequence analysis more accessible. Learn to use the nf-core pipeline PathogenSurveillance (PS) and the genomeRxiv web server, which are tools designed for pathogen diagnosis, variant detection, and biosurveillance, making genome sequencing more accessible and efficient.
Gain hands-on experience with PS and how to use genomeRxiv to infer the identities of fungal and bacterial pathogens at within-species resolution. Together, these tools automate genome processing and analyses, accelerating disease diagnosis and fundamental research.
Tackling Global Challenges in Plant Pathology with AI: Forecasting, Imaging, and Protein Prediction
Saturday, August 2 • 1:00–5:00 p.m. • $89 Add to Registration
Learn how the cutting-edge tools of artificial intelligence (AI) and machine learning (ML) are revolutionizing plant pathology by enhancing prediction accuracy in epidemic forecasts, identifying complex patterns in multidimensional datasets, and developing systems for instant disease identification through images.
You'll gain hands-on experience with AI and ML applications in R and Python, focusing on real-world scenarios. Explore ML pipelines for epidemiological data, create a prototype symptom recognition tool using deep learning, and develop protein structure predictions with AlphaFold3. Complete interactive exercises and competitive subgroup activities to foster teamwork, innovation, and problem-solving.
