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, , 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