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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.

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