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EarthSense is a robotics company founded 2016, based in United States, developing 4 robots primarily in the Agricultural category.
Autonomous, AI-powered robots for precision farming and field data
EarthSense builds autonomous, AI-powered agricultural robots including TerraSentia, TerraSentia+, TerraMax, and TerraPreta. Its systems are used in row-crop breeding and field phenotyping to collect under-canopy plant-trait data and support precision farming for corn, soybeans, and other row crops.
Total funding
US$1.0M
Active products
4
Robo Score
61
A
View factor breakdown
Top-rated product
BBB
Robo Index
TerraSentia+
Company facts
- HQ
- Champaign, United States
- Founded
- 2016 · 10 yrs
- Stage
- Seed (2019)
- Website
- www.earthsense.co
Robo Score
Products, Range, Traction set the number — the three factors present for every company. Momentum, Attention, Readiness describe the brand but never move it. A value we don't have reads —, never zero. Claiming or paying moves nothing.
5 of 6 factors known. How it's calculated
Awards & recognition
- North American Agriculture & Food Regional Champion at Startup World Cup 20252025earthsense.co ↗
Milestones
Closed a $1M seed round to commercialize the TerraSentia field-phenotyping platform.
Positioned TerraSentia as the first ultracompact autonomous teachable robot for under-canopy plant-trait data collection.
Press coverage
- EarthSense | Research Park - University of Illinois
University of Illinois Research Park
- EarthSense, Inc. - F6S
F6S
Active products by EarthSense
4 shown| # | Category | Key specs | ||||
|---|---|---|---|---|---|---|
| 1 |  | TerraSentia+ | Agricultural | Payload 100 kg·Runtime 8 hr | 2016 | BBB |
| 2 | TerraSentia | Agricultural | Payload 100 kg·Runtime 3 hr | 2018 | BBB | |
| 3 |  | TerraMax | Agricultural | Payload 453.6 kg·Runtime 3 hr | 2024 | BBB |
| 4 |  | TerraPreta | Agricultural | Payload 453.6 kg·Runtime 3 hr | 2024 | BBB |
Agricultural buying guides
Industry Knowledge →
Ag Robot Vendor Selection: Pilot Data, Financing Options, and Exit Terms
Most agricultural robot procurement decisions optimize for demo quality and sticker price. The farms that make durable vendor choices optimize for data transpar…
From Research Plot to Commercial Scale: A Two-Season Playbook
Most ag robot programs fail not in the technology lab but in the transition from controlled trial to commercial operation. The farms that navigate it successful…
Field Constraints That Kill Robot Deployments: Terrain, Weather, Crop Spacing
Slope gradients, seasonal mud windows, crop-row geometry, and end-of-row headland length are the four variables that most reliably predict whether an ag robot d…