Agrifood AI Field Guide

A working knowledge base for public education on artificial intelligence in agrifood systems. The project develops in four layers: a content library of source-attributed units; a methodology layer of repeatable talk archetypes; a public-facing website (this one); and slide-deck tooling.

What this site contains

133 units Substantive knowledge units with source attribution. 19 scans Regional or topic scans synthesising multiple units. 8 talks Methodology and templates for assembling talks. 6 archetypes Repeatable talk-assembly patterns. 28 quotes Speaker voices, verbatim and paraphrased.

Project voice

The cover image above is the project's visual identity: a mountain-goat herd on a rocky outcrop, looking out over an agricultural valley. Three goats with three differentiated postures evoke diverse grazing method and distributed observation. The goats are a graphical offset to academic prose; they do not appear in unit, scan, or quote files, and they are not referenced in cycle annotations or commit messages.

See VISION.md on the source repository for the full project architecture.