Uplatz Blog presents a detailed analysis of agricultural precision robotics that fuse GNSS-RTK navigation, computer vision, and robotic manipulators to automate selective harvesting, weeding, and plant care for sustainable, efficient farming.
Key points
- Fusion of GNSS-RTK, LiDAR, and vision systems delivers centimeter-level autonomous navigation.
- CNN-based computer vision performs pixel-accurate crop vs. weed segmentation for targeted weeding.
- Soft-robotic end-effectors and manipulators enable damage-free harvesting of delicate produce.
Why it matters: By enabling targeted interventions and automation, precision robotics reshapes agriculture, boosting productivity and sustainability while tackling labor shortages.
Q&A
- What is GNSS-RTK?
- How do Convolutional Neural Networks detect weeds?
- What is soft robotics and why is it used?
- How does Robotics-as-a-Service lower adoption barriers?