AI in Plant Pathogen Interactions

Artificial Intelligence (AI) is opening powerful new avenues for understanding the complex dynamics between plants and their pathogens. From predicting resistance mechanisms to uncovering molecular and ecological patterns, AI promises to accelerate discoveries in plant pathology. The true impact of these tools, however, depends on their ability to generate insights that are validated in real-world biological contexts.

This Research Topic seeks contributions that connect AI innovation with biological experimentation by testing computational predictions against original laboratory, greenhouse, or field datasets. Such approaches not only advance algorithms but also deepen biological understanding and practical application.

We invite original research, reviews, and perspectives, covering (but not limited to):

- AI-driven modeling of plant immune responses
- Applications of AI in genetic and epigenetic analyses
- Studies linking computational predictions of pathogen evolution to resistance assays
- Integration of AI within precision agriculture workflows
- Automated experimental design or feedback loops, where AI continually informs and improves laboratory or field experiments

By fostering contributions that bridge computation and experimentation, this Topic aims to accelerate progress toward practical solutions for plant health, crop productivity, and sustainable agriculture.

Article types and fees

This Research Topic accepts the following article types, unless otherwise specified in the Research Topic description:

• Brief Research Report
• Editorial
• FAIR² Data
• Hypothesis and Theory
• Methods
• Mini Review
• Opinion
• Original Research
• Perspective
• ... View all formats

Articles that are accepted for publication by our external editors following rigorous peer review incur a publishing fee charged to Authors, institutions, or funders.

Article types

This Research Topic accepts the following article types, unless otherwise specified in the Research Topic description:

• Brief Research Report
• Editorial
• FAIR² Data
• Hypothesis and Theory
• Methods
• Mini Review
• Opinion
• Original Research
• Perspective
• Review
• Systematic Review

Keywords: artificial intelligence, plant-pathogen interactions, molecular mechanisms, genetic dynamics, AI-driven modeling

Important note: All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.