Duncan Robertson
CEO
Dogtooth
Dogtooth develops intelligent robots for soft fruit harvesting, utilizing a patented inspection system that employs 360-degree imaging to assess berry mass, ripeness, and defects. By providing real-time yield insights and enabling night picking, Dogtooth addresses labor shortages and enhances efficiency in fruit production for growers.
- Agriculture Technology
- Hardware
- Robotics
Updated 7 months ago
Funding
Raised to date
$5.1MRaised 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.
Funding rounds are not available yet.
Founders
Product
Problem
Soft fruit growers face labor shortages and inefficiencies in harvesting, leading to potential yield losses and increased operational costs. Traditional harvesting methods lack real-time insights into crop yield and quality, hindering informed decision-making.
Solution
Dogtooth offers intelligent robots designed for soft fruit harvesting, addressing labor challenges and improving efficiency. These robots utilize a patented 360-degree imaging system to assess berry mass, ripeness, and defects, providing comprehensive quality insights. The robots are capable of night picking and can operate at scale, supporting standard tabletop infrastructure in glasshouses and polytunnels. A web portal provides growers with real-time data on crop conditions, yield, and defect rates, enabling remote adjustments to harvesting parameters.
Target Audience
The primary target audience includes soft fruit growers in the UK, Australia, and globally, particularly those utilizing tabletop infrastructure in glasshouse and polytunnel environments.
Features
- Patented 360-degree imaging system for assessing berry mass, ripeness, and defects
- Real-time yield monitoring and forecasting based on berry counts at each stage of maturity
- Web portal for remote control of robot fleet, including ripeness and grading settings
- Night picking capabilities for extended harvesting hours and increased throughput
- Defect identification to ensure high-quality fruit selection
- Scalable manufacturing, producing hundreds of robots per year
- Support for standard tabletop infrastructure in glasshouse and polytunnel environments