First published · Last updated
Proximal sensing pipeline for field-scale mapping of individual weeds using low-cost components and YOLO object detection
Journal article describes a proximal sensing pipeline for field-scale mapping of individual weeds using low-cost components and YOLO object detection. Publisher listed as Elsevier BV and published 2026-12-01.
Categories: science-and-space, technology, environment-and-climate
Generated scores
Scores are based on the cited reporting and use a 1–10 scale. Read the methodology.
- Confidence
- 6/10
- Geographic reach
- 1/10
- Global importance
- 3/10
- Impact magnitude
- 3/10
- Positivity
- 7/10
- Urgency
- 2/10
Why it matters
The work describes a low-cost sensing and YOLO-based detection approach for mapping individual weeds at field scale, which is relevant to agricultural monitoring and precision weed management.

