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Data · dataset · 2026

EWIS1: Maize, Sorghum & Weed Dataset

Listed in Teesside University Research Data Repository

Precision agriculture relies on Site-Specific Weed Management (SSWM) to replace traditional, uniform spraying with data-driven herbicide application and mechanical weeding.

Description

As weeds compete with crops for space and nutrients, they remain a primary threat to harvest quality. As a first step, the implementation of SSWM requires high precision in automated detection and classification of weed species.

Therefore we publish a manually annotated and expert curated drone image dataset for weed segmentation (crop vs weed) in sorghum and maize fields with different crop growth stages and weather conditions.

Links

Where it is published

Catalogue records · 1

Topics

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Provenance · 1 source records, 10 field assertions
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