The vineyard is now being read row by row
the vineyard is now being read row by row: concha y toro runs ai across its cellars with drones, an argentine model reads grape bunches from images at 96 percent accuracy, and adopters report up to 40 percent less agrochemical use.
the vintage now writes its own report card.
Context
Viña Concha y Toro's Centre for Research and Innovation has worked on AI and drone harvest volume prediction, and a machine learning vineyard yield forecasting system it reported is documented by Fundación Innova. Inria Chile and Concha y Toro partner on predictive models for vineyard management.
A PMC paper on low-cost unsupervised image recognition estimates vineyard yield from images.
Concha y Toro's AI and drone work matches the sources. The 96 percent grape bunch accuracy, the 40 percent agrochemical reduction and the cellar AI were not seen in the excerpts read, so unsupported here, not refuted.
'the vintage now writes its own report card' is the author's opinion.
Related work
- Concha y Toro: AI and drones, new harvest volume prediction system ↗Company innovation story.
- Fundación Innova: ML system for vineyard yield forecasting ↗Yield forecasting.
- Inria Chile and Concha y Toro ↗Partnership.
Watch next
- Find the 96 percent grape bunch model paper.
Sources
- Concha y Toro CRI, Mar 1, 2018vinacyt.com
- Inria Chile, Apr 30, 2024inria.cl
- PMC: image recognition for vineyard yieldpmc.ncbi.nlm.nih.gov
Provenance
The note above is reproduced unedited from the original post, first published on Threads on 3 October 2026 at 05:46 IST. Sources are the papers and datasets the note draws on.
View the original post ↗Embed this note
More notes
The air is now being asked to keep its own ledger
the air is now being asked to keep its own ledger: ecmwf’s aifs compo becomes the first ai model to forecast atmospheric composition globally every three hours, cleanair simulates 365 days of pm2.5 over china in ten seconds, and a unified framework maps six pollutants at one kilometer across the whole country. the air now files its own composition report.
read the note →The current is now being asked to draw its own map
the current is now being asked to draw its own map: china’s langya 2.0 predicts six ocean phenomena including internal waves and mesoscale eddies, a deep net called wenhai resolves eddies globally with air sea flux formulas built in, and scripps infers surface currents from the way temperature patterns deform in satellite images. the ocean now files its own circulation report.
read the note →The soil is now being asked to report its own carbon
the soil is now being asked to report its own carbon: a nix color sensor paired with generative data augmentation predicts soil organic carbon without a lab, random forest drives 74 percent of soil health mapping studies, and sentinel 2 tracks five year carbon change across france and italy from 922 samples. the dirt now files its own carbon account.
read the note →