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04.5 · Open dataset

Sugarbeet
disease dataset

High-resolution RGB images of sugarbeets from four stripe field experiments, collected approximately weekly and geotagged.

Period 2022-07-11 → 2022-09-06

Images 21,470

Size ~47 GB


This dataset is a re-hosting of the Sugarbeet disease dataset, originally co-created by Anders Krogh Mortensen and hosted by Aarhus University at https://vision.eng.au.dk/sugarbeet-disease-dataset (archived version). We thank Department of Agroecology, Aarhus University for their foundational contribution to this data.

This dataset was collected from mid July to early September 2022 and contains high-resolution RGB images of sugarbeets from four stripe field experiments. Images were collected approximately weekly and geotagged.

A subset of the collected images were annotated pixelwise. For inqueries, please contact Anders Krogh Mortensen.

Sugarbeet rows recorded in the field
Sugarbeet stripe field experiment

Download

Date #images File size File
2022-07-11 1958 4.2GB Download
2022-07-19 2552 4.8GB Download
2022-07-26 2550 5.2GB Download
2022-08-09 2588 5.7GB Download
2022-08-17 2655 5.5GB Download
2022-08-23 2531 5.3GB Download
2022-08-30 2569 5.6GB Download
2022-09-01 2531 5.4GB Download
2022-09-06 2536 5.5GB Download

More details

Nordic Beet Research annual reports

More details (including data collection, deep learning models and results) can be found in Nordic Beet Research’s Annual Reports:

Citation

If you use this dataset in your research or elsewhere, please cite/reference the following Nordic Beet Research’s Annual Report (2022):

@inbook{ece8b721f3fe497ba532c7f2ed9b0cfd,
title    = "Kamera og kunstig intelligens til vurdering af sygdomstryk i sukkerroer",
abstract = "Form{aa}let med fors{o}get er at unders{o}ge, om et h{o}j kvalitets farvekamera
            sammen med kunstig intelligens kan anvendes til automatisk genkendelse af
            bladsygdomme i sukkerroer.",
author   = "Mortensen, {Anders Krogh} and Hansen, {Anne Lisbet} and Ren{'e} Gislum",
year     = "2023",
month    = jan,
language = "Dansk",
pages    = "53--56",
booktitle = "Faglig beretning 2022",
publisher = "NBR Nordic Beet Research Foundation",
}

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