2026-10-15T17:55:24Z https://data.mendeley.com/oai

oai:data.mendeley.com/6j5pxgf437.1 2026-03-18T16:53:06Z

Genze, Nikita EWIS1: Maize, Sorghum & Weed Dataset Mendeley Data Precision agriculture relies on Site-Specific Weed Management (SSWM) to replace traditional, uniform spraying with data-driven herbicide application and mechanical weeding. 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. Image Segmentation Object Detection Unmanned Aerial Vehicle (Space Vehicle) Maize Sorghum Weed-Mapping Deep Learning Drone (Aircraft) Grieb, Michael Grimm, Dominik Dataset doi:10.17632/6j5pxgf437.1 oai:data.mendeley.com/6j5pxgf437.1 Creative Commons Attribution 4.0 International http://creativecommons.org/licenses/by/4.0 https://data.mendeley.com/datasets/6j5pxgf437 2026-03-18T16:53:06Z