Wheat_Coccinellid

Published: 7 May 2024| Version 1 | DOI: 10.17632/j9735xjspw.1
Contributors:
Ivan Grijalva,
,
,
,
,
,
, Brian McCornack

Description

Dataset for coccinellid detection using images

Files

Steps to reproduce

The dataset was collected across subplots planted with different wheat varieties in the North Agronomy Farm at Kansas State University during normal weather conditions. The subplots were located at GPS coordinates of 39°12'16.7"N 96°35'50.3"W. Each sampler performed transects of 1 m within row alleys of subplots to capture individual images with coccinellid presence on wheat plants using mobile devices, specifically iPhone models of 6, 10, 12 pro, 13, and a Samsung model S21 FE 5G.

Institutions

Kansas State University

Categories

Machine Learning, Wheat, Computer Vision Technology, Coccinellids

Funding

National Science Foundation

2019-67021-28995

Licence