R&D Active — Rajkot, Gujarat

The farm
works itself.

An autonomous vehicle that sees every plant, understands every crop, and operates with centimeter precision — on any farm, from the first day.

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100kg
Payload capacity
±2cm
RTK-GPS precision
<0.8%
Depth error at 2m
17
Engineers building
01 Boundary mapping

Walk the edge once.
The robot knows
the farm forever.

Drive along the perimeter one time. RTK-GPS logs centimeter-accurate waypoints, building a permanent boundary polygon. Any farm shape, any size — no satellite subscriptions, no pre-programming needed.

±2cm
GPS accuracy
~10min
Setup time
Once
Per farm, forever
RTK-GPS FIXED
Lat: 23.0225°N
Lng: 70.6890°E
Points logged: 0
Accuracy: ±0.02m
02 Stereo depth perception

Sees crop rows
in any light.

Orbbec Gemini 335L reads the 3D shape of every row — active infrared for darkness, passive stereo for bright Gujarat sunlight. The vehicle finds the centerline and follows it with millimeter precision.

<0.8%
Depth error at 2m
90°
Field of view
IP65
Dust + water proof
GEMINI 335L ACTIVE
Mode: Active IR + Passive
Depth FPS: 30
Row offset: +0.0cm
Centerline: LOCKED
03 Living crop map

The map updates
itself. Every trip.

AI classifies every plant it passes. Zones auto-tag with crop type, health, and growth stage. When the farmer plants a new season — the vehicle discovers the change on its next trip. Zero manual input, ever.

8+
Crop types
Auto
Season updates
3×
Confirm before change
AI CLASSIFICATION
Current: Cotton
Confidence: 94.2%
Zone health: Good
04 Modular implements

One carrier.
Snap on. Auto-detect. Work.

01
Software only
Plant health intelligence
Every trip generates a georeferenced health heatmap. Disease, pests, nutrient deficiency — scored per plant, reported per zone.
→ Zero hardware cost. Sell as a service from day one.
02
Mountable hardware
Precision spraying
Solenoid nozzles fire per-plant. Crop map tells it where. Camera confirms in real-time. Skips non-target crops automatically.
→ Up to 80% chemical savings. Three intelligence levels.
03
Mountable hardware
Autonomous weeding
Mechanical blade between rows, AI-guided within rows. CAN heartbeat — blade stops in 200ms if link drops.
→ Zero herbicide. Fail-safe blade with auto height control.
05 The team

Built by engineers
who understand
the field.

A team of 17 engineers across robotics, computer vision, embedded systems, and agricultural science — building from Rajkot, in the heart of Gujarat's farming belt.

17
Engineers
4
Disciplines
Rajkot
Headquarters
2026
Field trials
Founder & Team Lead
Sejpalsinh Jadeja
B.Tech Gold Medalist · M.Tech · PhD Researcher
Leading a cross-disciplinary team of 17 engineers to bring autonomous intelligence from the lab to real farms. Research focus on vision-based crop row navigation and real-time AI inference at the edge.
Computer Vision Edge AI Agricultural Robotics NVIDIA Jetson ROS

We're building this for
570 million farmers.

ZetaEarth is open for funding, R&D collaboration, and pilot farm partnerships. If you believe autonomous intelligence will transform agriculture — let's build it together.

Get in touch → Download pitch deck
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