Not a one-shot "what's wrong with this leaf" app. A per-tree record that watches the same tree over months, so something changing shows up before it's obvious by eye.
The wrong question
Point a phone at a leaf and a dozen free apps will tell you what it is and guess what's wrong with it. That part is solved, and it's free — it will stay free. It also isn't the question anyone who actually cares about a tree is asking.
The record
A name, a spot on the map, a tag on the trunk. GPS alone isn't accurate enough at typical planting spacing — this is what keeps every later photo pointed at the right tree.
Canopy, foliage, trunk — from the same anchor point, with a ghost overlay of last time so framing stays consistent. Consistency of capture matters more than sophistication of model.
A health score, specific findings with the evidence behind them, and a confidence level — never a bare verdict.
Marginal photos and low-confidence findings get flagged for a human look, not quietly resolved. Triage, not diagnosis — a wrong "it's fine" costs you the tree, and that's the one mistake this is built to avoid.
Why the on-grove test comes first. Before this is anyone else's tool, it has to prove one thing on real trees: does the change detection actually catch something you'd have otherwise missed by eye? That's running now — 80 olive and fruit trees at Piccolo Paradiso, near Collie, Western Australia.