Project Harvest
Can farmers see tomorrow's crop problems today?
Turn satellite, weather and soil signals into a short list of what will go wrong in a field next week.
ResearchThe problem
Crop problems are visible from orbit days before they are visible from the gate. By the time stress is obvious on foot, the decision that would have mattered has already passed.
What we built
Turn satellite, weather and soil signals into a short list of what will go wrong in a field next week.
Where it is now
Research — reading public imagery against known outbreak years to see whether the signal was there first.
Research questions
- Can farmers see tomorrow's crop problems today?
Future concepts
Research only. These are not existing features.
Who it's for
Components
Research question
“Can farmers see tomorrow's crop problems today?”
Why this matters
Crop problems are visible from orbit days before they are visible from the gate. By the time stress is obvious on foot, the decision that would have mattered has already passed.
Current progress
Research — reading public imagery against known outbreak years to see whether the signal was there first.
Workflow
Research
Researching: satellite imagery, disease prediction, weather forecasting, crop stress, ai field analysis.
How it could work
Problem
Field problems are found late, on foot, by accident.
Current world
Walk the field, notice the patch, act a week after it mattered.
Quinn Labs idea
Join satellite, weather and soil into one weekly answer: here is what to look at, and why.
Potential future
Fields that raise their own hand before the damage is done.
Research board
Sentinel-2 revisit
Five days, cloud permitting. In a British spring that is the real constraint, not the model.
One action
Agronomy reports are long. The output has to fit on a phone screen at 6am.
Open questions
Would they act?
A warning nobody acts on is noise. Test whether growers change behaviour, not whether the model is accurate.
Future possibilities
Research directions only. None of these exist, and some never will.
Questions we're asking
- Can farmers see tomorrow's crop problems today?
- Free public satellite imagery re-read for individual field boundaries
- Disease pressure models tied to local weather rather than regional averages
- Change detection that flags the anomaly rather than reporting the average
Potential collaborators
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We prototype possibilities. Not every question has an answer. Every answer begins with a question.
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