Stout offers an AI‑driven agricultural robotics platform that retrofits existing farm equipment with edge‑mounted computer‑vision modules to identify, assess, and act on each individual plant in real time. The system creates detailed phenotypic maps and executes precise in‑row and inter‑row weeding, enabling growers to apply inputs only where needed, reduce labor costs, and improve yield forecasting.
Funding
$7.5M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Farm operations face high labor costs, reliance on manual weed control, and limited ability to monitor individual plant health at scale, leading to inefficient input use and uncertain yield outcomes.
Solution
Stout provides an AI-driven agricultural robotics platform that equips existing farm equipment with computer‑vision and autonomous control to identify, assess, and act on each plant in real time. The system captures millions of images across the field, processes them on‑edge to generate detailed phenotypic maps, and executes precise in‑row and inter‑row weeding without human intervention. By delivering plant‑level insights—from size and spacing to health status—Stout enables growers to apply inputs only where needed, improve labor efficiency, and generate accurate in‑season yield forecasts. The platform integrates with farm management software to turn visual data into actionable dosing and operational decisions, supporting higher productivity and reduced chemical usage.
Target Audience
Primary customers are specialty crop growers and large‑scale farm operators seeking to automate weed control, reduce input costs, and gain granular plant‑level intelligence for better yield management.
Features
- Edge‑mounted AI vision modules that capture and analyze high‑resolution images of every plant across the field
- Autonomous smart cultivator capable of in‑row and inter‑row weeding with 99% accuracy, eliminating manual labor
- Real‑time phenotypic mapping that quantifies plant size, spacing, and health from emergence to harvest
- Precision input dosing based on plant‑specific data to maximize efficiency of fertilizers and pesticides
- Integrated yield forecasting models that use plant‑level metrics to predict pre‑harvest output
- Compatibility with existing farm equipment, allowing retrofitting of current machinery with Stout’s AI hardware and software stack