Orchard Robotics develops a computer vision and AI-driven operating system that provides precise data on fruit size and crop load for orchards. This technology enables growers to optimize yield and quality while facilitating accurate forecasting and supply chain management for packhouses and marketers.
Funding
$3.8M 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
Orchards face challenges in accurately assessing fruit size and crop load, leading to suboptimal yield management and difficulties in forecasting supply for packhouses and marketers. Traditional methods lack the precision needed to optimize fruit quality and meet yield targets effectively.
Solution
Orchard Robotics provides a computer vision and AI-powered system that delivers precise data on fruit size and crop load at the individual tree level. Their technology utilizes advanced camera systems mounted on standard farm vehicles to scan orchards and gather detailed information on visible fruit. This data enables growers to strategically manage crop load, optimize fruit size and quality, and improve overall yield. Packhouses and marketers benefit from accurate early-season yield and size estimates, facilitating efficient planning, reliable forecasting, and improved contract management.
Target Audience
The primary customers are fruit growers seeking to optimize yield and quality, as well as packhouses and marketers aiming to improve supply chain management through accurate forecasting.
Features
- Custom-built computer vision and AI software for "seeing," sizing, and tracking visible fruit on every tree
- Advanced camera systems with over 10 internal sensors and patent-pending technology, easily mounted to any tractor or farm vehicle
- Ability to scan orchards whenever and wherever needed, providing hassle-free data collection
- Data analysis and visualization tools for detecting and sizing fruit, enabling informed decision-making
- Integration of data insights to improve fruit quality and yield through precision crop load management