Infrared Physics & Technology
 2022
DOI: 10.1016/j.infrared.2022.104203
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An impact analysis of pre-processing techniques in spectroscopy data to classify insect-damaged in soybean plants with machine and deep learning methods

Lucas Prado Osco
1
,
Danielle Elis Garcia Furuya
2
,
Michelle Taís Garcia Furuya
3
et al.
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Cited by 6 publications
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References 21 publications
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Improved retrieval of phylogenetic signals from normalized foliar reflectance spectra in Neotropical forest gaps

Diniz
1
,
Amaral
2
,
Telles
3
et al. 2023
COMMUNITY ECOLOGY
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Improved retrieval of phylogenetic signals from normalized foliar reflectance spectra in Neotropical forest gaps

Diniz
1
,
Amaral
2
,
Telles
3
et al. 2023
COMMUNITY ECOLOGY
0
0
0
0
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A research review on deep learning combined with hyperspectral Imaging in multiscale agricultural sensing

Shuai,
Li,
Chen
et al. 2024
Computers and Electronics in Agriculture
25
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Rapidly and accurately determining the resin and volatile content of CF/PPBESK thermoplastic prepreg by NIR spectroscopy

Hao
1
,
Cheng
2
,
Ren
3
et al. 2023
Composites Part A: Applied Science and Manufacturing
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