With tractor-mounted cameras and cloud-based analytics, Orchard Robotics is giving fruit growers a data-rich view of their crops — and aiming to become the operating system for the farm of the future.
From Family Roots to Farm Tech
Charlie Wu, a former Cornell computer science student and Thiel Fellow, didn’t plan to revolutionize farming — until he realized how little modern fruit growers actually know about what’s growing in their fields.
- Inspired by his grandparents’ work as apple farmers in China, Wu combined his tech background with insights from Cornell’s top agricultural researchers.
- In 2022, he dropped out to found Orchard Robotics, a startup that uses AI-powered cameras to analyze fruit crops with precision and speed.
“Even the largest farms in the nation basically have no idea what is actually growing out in their fields,” Wu said.
$22M to Scale AI for Agriculture
On Wednesday, Orchard Robotics announced a $22 million Series A funding round.
- Led by Quiet Capital and Shine Capital.
- Returning investors include General Catalyst and Contrary.
- The new capital will help expand into more crop types, refine the platform, and grow its footprint with U.S. growers.
How It Works: Smart Cameras + AI Analysis
Orchard Robotics’ solution is both simple and powerful:
- A small camera is mounted to tractors or farm vehicles.
- As the vehicle moves through an orchard or vineyard, it captures ultra-high-res images of every fruit and plant it passes.
- AI then analyzes the footage for key metrics like fruit size, color, and health.
- The data is sent to Orchard’s cloud-based platform, which acts as a central dashboard for decision-making.
This system replaces traditional manual crop sampling, which covers only a tiny fraction of a field and often leads to inaccurate planning around chemical use, labor, and sales forecasting.
“If you don’t know what you’re growing in the field, you don’t know how much chemical to apply, how many workers to hire, or what you can actually sell,” Wu explained.
Expanding Beyond Apples and Grapes
Initially focused on apples and grapes, Orchard Robotics is now being tested on a variety of other high-value crops:
- Blueberries
- Cherries
- Almonds & Pistachios
- Citrus
- Strawberries
These are all specialty crops, which often require more targeted management than commodity grains and are harder to automate.
Competitive Landscape: It’s Getting Crowded
While Wu’s vision is ambitious, Orchard isn’t alone in the space.
- Bloomfield Robotics, now owned by Kubota, also uses AI and cameras to analyze fruit crops.
- Other emerging competitors include Vivid Robotics and Green Atlas, both in earlier funding stages.
But Orchard hopes to stand out with its platform-first approach — combining data collection, analysis, and decision-making in one place.
Beyond Insights: Building the Farm OS
Wu sees Orchard Robotics evolving beyond data into a full farm operating system.
- Current systems help with fertilization, pruning, and thinning.
- Future versions may support autonomous decisions, similar to how platforms like Flock Safety evolved from data capture to infrastructure control.
- Wu envisions tools for automated spraying, workforce planning, and even yield optimization, all informed by real-time AI insights.
“We want to collect the data, then build an operating system on top of it — and eventually own all the workflows in the farm,” Wu said.
Why It Matters: A Smarter, More Sustainable Future
With climate pressures rising and labor becoming more expensive, precision agriculture is increasingly vital to maintain profitability and reduce environmental impact.
- Orchard Robotics helps reduce chemical overuse, labor waste, and crop loss.
- It brings real-time awareness to a process that’s still largely guesswork on most farms.
- By capturing and understanding what’s actually happening in the field, growers can make smarter, faster decisions.
