Beehive Analytics Platform

When honey bees unexpectedly moved into our owl box, I started photographing everything. Four years later, I had hundreds of photos scattered across devices with unhelpful names like “IMG_2847.jpg.” Experience told me that a little structure could transform this photo collection from digital clutter into actionable beekeeping intelligence. So I built a system that uses photo timestamps, computer vision, and weather data to automatically reconstruct our beekeeping story—turning raw documentation into structured intelligence, where proper cataloging unlocks insights that remain invisible in unorganized collections.

Problem

Apiary notes get trapped in photos and paper. Patterns (queen health, forage, pests) rarely make it into a system of record.

Approach

Extract EXIF + local weather; light CV to detect frames (brood, pollen, mite checks).
Model as a graph: Hives, Inspections, Observations, Conditions.
Friendly UI for queries (“show inspections before swarm events”).

Impact

Fewer missed signals, better seasonal prep, richer handoff notes.