AutoBCS proof page
Catch condition changes before they cost you.
AutoBCS is built around a simple habit: take a photo of the animal periodically, then use those photos to follow condition over months. That makes it easier to notice cows slipping after calving, recovering on feed, or becoming a health, breeding, or cull-list concern.
Accepted estimate
Condition history and visible evidence are shown before approval.
Manual review
Weak photos stay out of the BCS column so a bad estimate does not distort the trend.
Why it is handy
A quick photo can become months of health context.
Most producers can take a cattle photo faster than they can stop and write a full note. If that happens every few weeks or at normal handling points, Pasturize can help show whether each animal is holding, gaining, or losing condition beside weights, treatments, breeding, calving, and cull qualification points.
That turns AutoBCS from a one-time estimate into an early-warning tool for health, feeding, breeding, and culling decisions over the course of months.
When the photo is usable
Pasturize can stage a BCS estimate when the animal is visible enough for body-condition landmarks.
- Full side profile or near-side profile
- Ribs, hooks, pins, tailhead, and topline visible enough to cite
- Score stored as a draft until reviewed
When the evidence is weak
The safer result is no automatic BCS column update. The review card explains why the estimate was held.
- Animal cropped or partly hidden
- Bad angle, shadows, mud, distance, or group overlap
- Generic evidence instead of visible BCS details
Review before records change
AutoBCS is decision support, not a silent record writer. Producers approve, edit, or ignore the draft.
- Original photo stays attached
- Estimate and evidence stay together
- Audit trail shows what was accepted
How AutoBCS moves through Pasturize
From an easy photo habit to a useful condition timeline.
Evidence examples
The useful part is not just the number.
The score should come with plain-language evidence a cattle producer can challenge. If the explanation is generic, AutoBCS should hold the estimate instead of filling the record.
Why this matters
Trust comes from refusing bad inputs.
BCS is useful only when the photo is good enough and the reason is visible. Pasturize should be conservative: a held estimate is better than a confident bad record.
Beta focus: current testing is tuning photo quality gates, cattle landmark evidence, review-card language, and fallback behavior for slow or failed model calls.