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Image dataset of plant-parasitic nematodes associated with cool-season turfgrass for machine learning and deep learning classification algorithms

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posted on 2025-08-07, 21:34 authored by BENJAMIN WALDOBENJAMIN WALDO, Shiguang Li, Vikram Rangarajan, Fereshteh Shahoveisi
<p dir="ltr">The dataset contains micrographs of <i>Hoplolaimus</i>, <i>Helicotylenchus</i>, <i>Meloidogyne</i>, <i>Mesocriconema,</i> <i>Pratylenchus</i>, <i>Trichodorus</i>, and <i>Tylenchorhynchus </i>nematodes. The data were collected using 10×, 20× objectives with a Zeiss Observer Z1 fitted with a Zeiss Axiocam 503 color camera and with 10× and 40× objectives using an Olympus BX51 fitted with a DP74 Olympus camera. Data collected with the Zeiss microscope setup were processed with Zen blue version 2.6 and data collected with the Olympus microscope were processed with CellSens version 4.1. Individual images in the dataset were extracted from videos recorded with Zen blue and CellSens software.</p><p dir="ltr">Micrographs are grouped by three objectives (10×, 20×, 40×) for seven nematode genera (<i>Hoplolaimus, Helicotylenchus, Meloidogyne, Mesocriconema, Pratylenchus, Trichodorus, Tylenchorhynchus</i>). </p><p dir="ltr">Number of images:</p><p dir="ltr"><i>Helicotylenchus</i></p><p>827</p><p dir="ltr"><br></p><p dir="ltr"><i>Hoplolaimus</i></p><p>995</p><p dir="ltr"><br></p><p dir="ltr"><i>Mesocriconema</i></p><p>527</p><p dir="ltr"><br></p><p dir="ltr"><i>Meloidogyne</i></p><p>433</p><p dir="ltr"><br></p><p dir="ltr"><i>Pratylenchus</i></p><p>666</p><p dir="ltr"><br></p><p dir="ltr"><i>Trichodorus</i></p><p>507</p><p dir="ltr"><br></p><p dir="ltr"><i>Tylenchorhynchus</i></p><p>1425</p><p dir="ltr"><br></p>

Funding

USDA-ARS: 8042-22000-322-000D

History

Data contact name

Waldo, Benjamin, D.

Data contact email

Benjamin.Waldo@usda.gov

Publisher

Ag Data Commons

Intended use

The image dataset is intended to serve as a resource for training or validating machine learning algorithms for identification of plant-parasitic nematodes.

Use limitations

1. Lighting conditions vary in the dataset. 2. Background debris may be present in some images. 3. Nematodes only identified to genus level. 4. Single individual contained in each image.

Temporal Extent Start Date

2022-06-16

Temporal Extent End Date

2024-07-30

Frequency

  • notPlanned

Theme

  • Non-geospatial

Geographic location - description

Nematode specimens extracted from samples collected in Maryland from golf courses and the USDA Beltsville Agricultural Research Center.

ISO Topic Category

  • biota
  • environment

National Agricultural Library Thesaurus terms

data collection; Hoplolaimus; Helicotylenchus; Meloidogyne; Mesocriconema; Pratylenchus; Trichodorus; Tylenchorhynchus; photographs; microscopes; color; cameras; computer software; plant parasitic nematodes; cool season grasses; turf grasses; artificial intelligence; algorithms; golf courses; Maryland

OMB Bureau Code

  • 005:18 - Agricultural Research Service

OMB Program Code

  • 005:040 - National Research

ARS National Program Number

  • 303

ARIS Log Number

418435

Pending citation

  • Yes

Related material without URL

Vikram Rangarajan, Fereshteh Shahoveisi, Benjamin D. Waldo, and Sadegh Jafari. Identification of plant-parasitic nematode genera in turfgrass using deep learning algorithms. Scientific Reports (in press)

Public Access Level

  • Public