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Data from: CitDet a benchmark dataset for citrus fruit detection

dataset
posted on 2023-11-30, 14:12 authored by Amanda Hulse-KempAmanda Hulse-Kemp

Images in this project represent the raw data in support of "CitDet: A Benchmark Dataset for Citrus Fruit Detection". The images are of the front and back of citrus trees, collected in 2021 and 2022 in Ft. Pierce, Florida from two trials "Bingo2017" or "T50" (.jpg files). These images were collected in a field in which all trees are experiencing 'greening disease' in contrast to trees that have not been exposed. Corresponding observed yield information for the Bingo2017 trial is also available (.txt file).

Resources in this dataset:

  • CitDet Image Files File Name: SharedImages.zip

  • Key for Images File Name: CitDetImageKey.csv

  • Yield Estimates File Name: BingoYieldEstimates.csv

Funding

Agricultural Research Service, 6034-21000-018-000-D

Agricultural Research Service, 6066-21310-006-000-D

History

Data contact name

Hulse-Kemp, Amanda

Data contact email

amanda.hulse-kemp@usda.gov

Publisher

Ag Data Commons

Temporal Extent Start Date

2022-10-14

Theme

  • Not specified

Geographic Coverage

{"type":"FeatureCollection","features":[{"geometry":{"type":"Point","coordinates":[-80.327396392822,27.445858114992]},"type":"Feature","properties":{}}]}

Geographic location - description

Ft. Pierce, FL

ISO Topic Category

  • farming

National Agricultural Library Thesaurus terms

data collection; citrus fruits; Citrus; trees; Florida; artificial intelligence; digital images; image analysis; crop yield; greening disease

OMB Bureau Code

  • 005:00 - Department of Agriculture

OMB Program Code

  • 005:040 - National Research

ARS National Program Number

  • 301

Pending citation

  • No

Public Access Level

  • Public

Preferred dataset citation

Hulse-Kemp, Amanda M. (2023). Data from: CitDet a benchmark dataset for citrus fruit detection. Ag Data Commons. https://doi.org/10.15482/USDA.ADC/1529611

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