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