Modular robot platform for precision farming
The Robot Platform focuses on developing a modular platform for autonomous crop operations in greenhouses. The robot is designed for specific tasks, such as tomato leaf removal and harvesting of vine tomatoes. This technology increases efficiency and reduces dependence on manual labor in greenhouse horticulture.
Background Use Case 12
Flexible automation for various greenhouse environments
The robot platform is being designed as a flexible system capable of performing various tasks depending on the specific needs within the greenhouse. Its modular structure allows it to be adapted for different crops and processes. The robot is equipped with smart sensors and AI technology for precise crop detection and handling. After the development phase, the system will be tested in real-life greenhouse environments to validate its performance.
The system includes an interface that enables integration with existing greenhouse infrastructures. Through data exchange and machine learning, the robot can autonomously determine its routes and optimize its operations based on changing conditions. The technology offers a scalable solution that can be easily adapted to different greenhouse environments and crop types.
"By automating cultivation processes, labor costs are reduced and yields are increased."
Public summaries Use Case 12
Online training and validation for the deployment of autonomous vehicles
Contribution to the ecosystem and the sector
More efficient production through scalable automation
The modular design enables a quick and cost-efficient response to changes in the cultivation process. The use of autonomous robots reduces dependence on seasonal labor and ensures consistent harvest quality. By combining multiple tasks—such as harvesting and pruning—into a single platform, productivity is increased and operations are simplified.
The technology not only supports Dutch greenhouse horticulture but also offers scalability for international markets. Thanks to its universal design, the platform can be easily adapted to specific crop requirements, accelerating the adoption of robotics across different regions.
Deliverables Use Case 12
Flexible and modular robot platform for greenhouses
Development of a modular robot platform for various cultivation processes
Testing and validation of the platform in real-life greenhouse environments
Optimization of the platform for both harvesting and pruning functions
Reduction of labor dependency through autonomous operation
Integration of AI and sensor technology for precise detection and processing
Added value for Human Capital
Increased knowledge of robotics and system integration required
The implementation of the robot platform requires new skills in robotics and systems management. Growers and technology companies will need to retrain in calibrating, maintaining, and optimizing autonomous robotic systems. Additional expertise in AI, sensor technology, and mechanical systems is necessary to deploy the platform efficiently and adapt it to various crops.
Furthermore, the use of machine learning and data analysis calls for additional knowledge. Growers must learn how to interpret and utilize data to enable the robot platform to respond independently to changing conditions in the greenhouse. The project encourages training and upskilling in data-driven process optimization and system integration.
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