Research notes
In-depth pieces, written slowly.
We're preparing the first articles on AI applications in premium agriculture. Notes published here aim to be useful months after they appear — sourced, technically specific, and free of dashboard-magic marketing.
First articles expected late 2026. The shortlist below is the queue.
In the queue
What is being written.
- 01
A primer on AI in precision viticulture
What the literature actually says about phenology models, ripeness prediction, and disease detection — and where the field is still hand-waving.
- 02
Truffle moisture modelling: what works, what does not
Sensor networks for truffières, with honest signal-to-noise considerations and a discussion of why generic crop models fail under Quercus.
- 03
Acoustic monitoring for apiculture
From hobby projects to commercial monitoring. The hardware, the open-source models, and the open question of foraging-route inference.
- 04
Olive frost: predicting the night nobody wants
Microclimate stations, machine learning frost models, and what the orchard manager can actually do with a 12-hour warning.