Image classification of sugarcane aphid density using deep convolutional neural networks

Published: 30 September 2022| Version 1 | DOI: 10.17632/6rwc39pvfp.1
Contributors:
Ivan Grijalva, Brian McCornack, Brian Spiesman

Description

Computer codes for sugarcane aphid density image classification using deep convolutional neural networks. Because of limited storage, imagery will be available by request to the principal author after the embargo.

Files

Steps to reproduce

Computer codes can be run using Anaconda libraries, including the Jupyter notebook.

Institutions

  • Kansas State University

Categories

Insect Pest Management, Sorghum, Agricultural Entomology

Related Links

Article
https://doi.org/10.1016/j.atech.2022.100089
is related to this dataset

Licence