TerraClear Releases Autonomous Field Robot for Real-Time Rock, Weed Detection

Insider Brief

  • TerraClear has launched TerraScout, an autonomous field robot that captures 1mm-resolution imagery and generates real-time action plans for rock detection, weed mapping and stand counts using onboard edge computing.
  • According to TerraClear, the system can map more than 1,000 acres per day at speeds up to 15 mph, operate autonomously for up to six hours and run 24/7 with onboard lighting in most weather conditions.
  • The company is expanding into AI-driven weed identification and precision spraying, with field trials underway and broader deployments planned as it scales commercialization.

TerraClear has announced its launch of TerraScout, an autonomous field robot designed to collect ultra-high-resolution imagery and convert it into precision action plans for existing farm equipment.

The Washington-based agricultural automation company said TerraScout gathers 1mm ground-sample-distance imagery across entire fields and processes the data onboard using edge computing to generate actionable maps in real time. The system is designed to support tasks such as rock detection, weed mapping and stand counts, with mission plans that can be sent directly to spray drones and ground-based equipment.

“We replace field-level guesswork with plant-level precision to slash input costs and maximize yields,” CEO Devin Lammers said in the announcement. “TerraScout will scout entire fields in almost any condition and turn that intelligence into precise action for existing crews and equipment. Today we focus that output on rock and weed management, but the future applications for this platform are vast. It is my firm belief that this technology will drive the next era of farm productivity gains.”

What are TerraScout’s Capabilities?

According to TerraClear, the autonomous field robot:

  • Captures imagery at 1mm ground sample distance (GSD), generating more than 4 billion image samples per acre.
  • Uses onboard edge computing to process data and produce actionable maps in real time.
  • Maps more than 1,000 acres per day at speeds up to 15 mph with a 60-foot swath.
  • Operates autonomously for up to six hours without refueling, reducing the need for field crews.
  • Runs 24/7 with onboard artificial lighting, enabling data collection in most weather conditions, day or night.

TerraClear is now expanding into AI-driven weed identification and management, analyzing fields on a one-square-foot grid to assess weed pressure and, over time, distinguish species and maturity. The company said its approach is intended to make existing sprayers precision-capable without requiring farmers to replace equipment.

Field trials of TerraScout began earlier this year, with broader trials planned in spring 2026 and a limited release targeted for fall 2026, according to TerraClear. The company, founded in 2017, is positioning the platform as a full-stack system that links high-resolution imagery directly to in-field execution.

Image credit: TerraClear

Greg Bock

Greg Bock is an award-winning investigative journalist with more than 25 years of experience in print, digital, and broadcast news. His reporting has spanned crime, politics, business and technology, earning multiple Keystone Awards and a Pennsylvania Association of Broadcasters honors. Through the Associated Press and Nexstar Media Group, his coverage has reached audiences across the United States.

Share this article:

AI Insider

Discover the future of AI technology with "AI Insider" - your go-to platform for industry data, market insights, and groundbreaking AI news

Subscribe today for the latest news about the AI landscape