Will AI replace plant pathologists?

Why AI struggles to replace this job

• Physical manipulation of delicate biological samples in a lab setting is difficult to automate fully.
• Designing novel research experiments for emerging, unknown pathogens requires high-level scientific creativity.
• Interpreting anomalous data that falls outside of trained machine learning datasets requires human expertise.
• Providing expert testimony for agricultural regulations involves ethical and legal accountability AI cannot hold.

Tasks AI could automate

• Identifying common crop diseases through computer vision analysis of leaf photos.
• Processing large genomic datasets to identify potential resistance markers.
• Cataloging and sorting digital records of historical disease outbreaks.
• Simulating the spread of airborne spores using climatic and geographic variables.

The 10-year outlook

Employment will grow as global food security becomes a higher priority and new pests emerge due to global trade. The role will transition toward bio-informatics, requiring pathologists to manage sophisticated AI diagnostic pipelines.

Common questions