PMID- 37356390
OWN - NLM
STAT- MEDLINE
DCOM- 20230907
LR  - 20230907
IS  - 1873-3557 (Electronic)
IS  - 1386-1425 (Linking)
VI  - 302
DP  - 2023 Dec 5
TI  - New approach for sugarcane disease recognition through visible and near-infrared 
      spectroscopy and a modified wavelength selection method using machine learning 
      models.
PG  - 123037
LID - S1386-1425(23)00722-9 [pii]
LID - 10.1016/j.saa.2023.123037 [doi]
AB  - 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 
      near-infrared spectroscopy (380-1400 nm) combined with a novel wavelength 
      selection method, referred to as modified flower pollination algorithm (MFPA), 
      was utilized for sugarcane disease recognition. The selected wavelengths were 
      incorporated into machine learning models, including Naive Bayes, random forest, 
      and support vector machine (SVM). The developed simplified SVM model, which 
      utilized the MFPA wavelength selection method yielded the best performances, 
      achieving a precision value of 0.9753, a sensitivity value of 0.9259, a 
      specificity value of 0.9524, and an accuracy of 0.9487. These results 
      outperformed those obtained by other wavelength selection approaches, including 
      the selectivity ratio, variable importance in projection, and the baseline method 
      of the flower pollination algorithm.
CI  - Copyright (c) 2023 Elsevier B.V. All rights reserved.
FAU - Ong, Pauline
AU  - Ong P
AD  - College of Mathematics and Physics, Center for Applied Mathematics of Guangxi, 
      Guangxi Minzu University, Nanning 530006, China; Faculty of Mechanical and 
      Manufacturing Engineering, Universiti Tun Hussein Onn Malaysia, 86400 Parit Raja, 
      Batu Pahat, Johor, Malaysia. Electronic address: ongp@uthm.edu.my.
FAU - Jian, Jinbao
AU  - Jian J
AD  - College of Mathematics and Physics, Center for Applied Mathematics of Guangxi, 
      Guangxi Minzu University, Nanning 530006, China; Guangxi Key Laboratory of Hybrid 
      Computation and IC Design Analysis, Guangxi Minzu University, Nanning 530006, 
      China. Electronic address: jianjb@gxu.edu.cn.
FAU - Li, Xiuhua
AU  - Li X
AD  - School of Electrical Engineering, Guangxi University, Nanning 530005, China; 
      Guangxi Key Laboratory of Sugarcane Biology, Guangxi University, Nanning 530005, 
      China. Electronic address: lixh@gxu.edu.cn.
FAU - Zou, Chengwu
AU  - Zou C
AD  - Guangxi Key Laboratory of Sugarcane Biology and College of Agriculture, Guangxi 
      University, Nanning 530005, China; State Key Laboratory for Conservation and 
      Utilization of Subtropical Agro-Bioresources, Guangxi University, Nanning 530005, 
      China. Electronic address: zouchengwu@gxu.edu.cn.
FAU - Yin, Jianghua
AU  - Yin J
AD  - College of Mathematics and Physics, Center for Applied Mathematics of Guangxi, 
      Guangxi Minzu University, Nanning 530006, China. Electronic address: 
      jianghuayin1017@126.com.
FAU - Ma, Guodong
AU  - Ma G
AD  - College of Mathematics and Physics, Center for Applied Mathematics of Guangxi, 
      Guangxi Minzu University, Nanning 530006, China. Electronic address: 
      mgd2006@163.com.
LA  - eng
PT  - Journal Article
DEP - 20230617
PL  - England
TA  - Spectrochim Acta A Mol Biomol Spectrosc
JT  - Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy
JID - 9602533
SB  - IM
MH  - *Spectroscopy, Near-Infrared/methods
MH  - *Saccharum
MH  - Bayes Theorem
MH  - Algorithms
MH  - Edible Grain
MH  - Support Vector Machine
MH  - Least-Squares Analysis
OTO - NOTNLM
OT  - Flower pollination algorithm
OT  - Near-infrared
OT  - Plant disease
OT  - Sugarcane
OT  - Wavelength selection
COIS- Declaration of Competing Interest The authors declare that they have no known 
      competing financial interests or personal relationships that could have appeared 
      to influence the work reported in this paper.
EDAT- 2023/06/26 00:41
MHDA- 2023/09/07 06:42
CRDT- 2023/06/25 18:10
PHST- 2023/04/19 00:00 [received]
PHST- 2023/06/08 00:00 [revised]
PHST- 2023/06/16 00:00 [accepted]
PHST- 2023/09/07 06:42 [medline]
PHST- 2023/06/26 00:41 [pubmed]
PHST- 2023/06/25 18:10 [entrez]
AID - S1386-1425(23)00722-9 [pii]
AID - 10.1016/j.saa.2023.123037 [doi]
PST - ppublish
SO  - Spectrochim Acta A Mol Biomol Spectrosc. 2023 Dec 5;302:123037. doi: 
      10.1016/j.saa.2023.123037. Epub 2023 Jun 17.