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Field Trial

Robotic Transplanting Trial at a Vegetable Nursery

Trial design: a machine-vision-guided seedling planter transplanting tomato and chilli seedlings at consistent depth and spacing to cut per-acre planting labour.

Niphad, Nashik, MaharashtraTomato & Chilli2 May 2026

This page describes a trial or pilot design. The figures below are illustrative design targets — not yet measured field results. Verified numbers will replace them as deployments complete.

62%

less planting labour per acre

±4 mm

consistent transplanting depth

+7 pts

stand uniformity vs. hand planting

94%

viable-seedling placement accuracy

The Challenge

The problem on the ground

Transplanting is one of the most labour-intensive steps in commercial vegetable production. The trial design targets a commercial nursery supplying plug trays to dozens of contracted acres each season, where every transplanting window compresses into a handful of weeks and trained crews must place tens of thousands of seedlings by hand.

Hand-planting quality varies with crew fatigue: uneven depth and inconsistent spacing produce ragged stands, complicate later weeding passes, and shave yield at harvest. Labour availability during peak windows is the binding constraint this trial is designed around.

Our Approach

What we deployed

The trial protocol runs the AnaVruksha Seedling Planter across successive transplanting blocks alongside hand-planting crews. Camera-guided grippers assess each seedling's orientation and vigour, placing only viable plants while skipping tray cells flagged as weak.

Active depth control adapts to varying bed preparation across blocks, and multi-row tooling is designed to keep per-pass throughput close to crew pace with a single operator.

Technology Used

Machine VisionSoft-Touch ActuationReal-Time Depth Control

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