Intelligent robotic solution for autonomous plant tissue sampling in greenhouses

Overview

The intelligent robotic solution for autonomous plant tissue sampling is designed to revolutionize greenhouse operations. By leveraging advanced computer vision and dynamic analysis, this system autonomously collects and stores plant tissue samples with efficiency comparable to human labor. This innovation addresses the challenges of labor-intensive manual sampling by providing a scalable and precise alternative. With the ability to identify and target diverse plant species, this solution enhances breeding and other agricultural processes by ensuring accurate and efficient sampling.

Technical specifications

Key features:

• Autonomous Sampling: Utilizes computer vision to identify plant species and determine 3D coordinates for precise sample collection and storage.
• Advanced End-Effectors: Developed with three revolute joints for reduced spatial requirements, enhancing flexibility and precision in tissue sampling.
• Integrated Robotic System: Combines revolute and prismatic joints (3R and 3P) for superior kinematics and dynamics, minimizing singularity and optimizing path planning.
• SLAM Navigation: Employs SLAM-based algorithms for autonomous navigation within greenhouse environments, ensuring efficient operation and reduced human intervention.

Technology readiness level

This technology is currently at TRL 4, indicating that it has been validated in laboratory settings. The next steps involve further development and integration of computer vision models and end-effector mechanisms, followed by rigorous lab and greenhouse testing to ensure operational accuracy and efficiency.