Commercial-scale system for autonomous strawberry harvesting
Dogtooth Technologies' AI-powered harvest robot identifies ripe fruit in the field, performs precise stem cutting, and keeps quality standards stable throughout production.
Fertima brings this system to growers in Turkey; it reduces labor dependency, enables 24/7 continuous harvesting, and delivers measurable operational efficiency.
With 3 shifts under suitable conditions.
Night harvesting increases yield.
Target ripeness band.
Harvest systems powered by Dogtooth infrastructure
Dogtooth Technologies' robotic harvesting infrastructure turns the imaging and decision layer into a field standard. The Fertima team supports this technology with local commissioning and operational processes.
4 steps from data to field execution
Imaging, decision, execution, and quality control run in a single loop.
Imaging
Ripe fruit is selected precisely with cameras and algorithms.
Precision picking
Dual-arm design enables fast harvesting with minimal damage.
Quality control
16-parameter grading maintains the target ripeness band.
Performance plan
Shift, battery, and capacity planning turns into operations.
Sustainable harvest flow against labor shortages
Labor scarcity and seasonal losses make robotic harvesting a strategic investment. It standardizes production while protecting quality for delicate crops like strawberries.
Stable quality band
AI vision selects ripe fruit and keeps the quality standard consistent.
Labor efficiency
Autonomous harvesting enables predictable, continuous labor flow.
Operational visibility
Harvest rhythm, quality criteria, and capacity become measurable.
Turn investment into measurable performance
Harvest robotics delivers measurable impact on labor cost, quality loss, and daily capacity planning.
Lower labor cost
Seasonal labor volatility is reduced and shift planning becomes clear.
Reduced quality loss
Picking at the right ripeness lowers loss rates.
Operational efficiency
Capacity, route, and harvest rhythm align with a single standard.
Assumptions vary by greenhouse size, shift plan, crop type, and seasonal intensity.
Operational assurance after commissioning
System performance is maintained not only through installation but also through field follow-up and operational training.
- Commissioning and go-live plan.
- Operator training and shift scenarios.
- Periodic maintenance and remote support.
Operations that need a sustainable harvest standard
Robotic harvesting makes performance measurable where labor is scarce and quality standards are critical.
- Growers seeking consistent quality for delicate crops like strawberries.
- Producers aiming to reduce seasonal labor volatility.
- Greenhouses targeting cooler night harvesting to reduce heat stress.