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Agriculture · seed R&D · Solutioning · 2026

Field Inspector

Measure every seed with a phone camera, in the field instead of at a bench.

Computer visionMobileOffline-first

Problem
Seed length, width and grade were measured with calipers and typed into Excel. Measuring happened at a desk, took minutes per tray, and field photos, notes and lab sheets lived apart.
Approach
A phone-native inspector app: calibrated capture with LiDAR or an ArUco marker, an ROI overlay, on-device segmentation, per-seed metadata with GPS, an offline-first sync queue and CSV export.

How it fits together

on the phone · works offlineno signal? later
Phone cameracalibrated by LiDAR or an ArUco marker
ROI overlayframe the tray
On-device segmentationYOLO26
Per-seed recordssize · grade · GPS
Offline sync queuesends when back online
CSV exportfor the lab
on the phone · works offline
Phone cameracalibrated by LiDAR or an ArUco marker
ROI overlayframe the tray
On-device segmentationYOLO26
Per-seed recordssize · grade · GPS
Offline sync queuesends when back online
CSV exportfor the lab
Result
Model refinement raised precision from 0.67 to 0.83 on the evaluation set.
What it took
YOLO26 segmentationNative mobileOffline syncLiDAR / ArUco calibration