New approach for sugarcane disease recognition through visible and near-infrared spectroscopy and a modified wavelength selection method using machine learning models

• Main Authors: Pauline Ong, Pauline Ong, Jinbao Jian, Jinbao Jian, Xiuhua Li, Xiuhua Li, Chengwu Zou, Chengwu Zou, Jianghua Yin, Jianghua Yin, Guodong Ma, odong Ma
• Format: Article
• Language: English
• Published: Elsevier 2023
• Subjects: TA170-171 Environmental engineering
• Online Access: http://eprints.uthm.edu.my/10107/1/J16248_dfba6cf89b35312a27fbc7fff1ce39b0.pdf; http://eprints.uthm.edu.my/10107/; https://doi.org/10.1016/j.saa.2023.123037

The proliferation of pathogenic fungi in sugarcane crops poses a significant threat to agricultural productivity and economic sustainability. Early identification and management of sugarcane diseases are therefore crucial to mitigate the adverse impacts of these pathogens. In this study, visible and...