Mapping Sugarcane Weeds Using Spectral Signatures Derived from Spectroscopic Data and Multispectral Images

Research output: Contribution to journal › Article › peer-review

Original language	Undefined/Unknown
Journal	AgriEngineering
DOIs	https://doi.org/10.3390/agriengineering8050172
State	Published - 1 May 2026

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@article{9e0dd741a4944b838765fa6a9b1fcbf0,

title = "Mapping Sugarcane Weeds Using Spectral Signatures Derived from Spectroscopic Data and Multispectral Images",

author = "Iglesias, \{Mar{\'i}a P.\} and Heenkenda, \{Muditha K.\} and \{Romero Calvo\}, Kerin",

year = "2026",

month = may,

day = "1",

doi = "10.3390/agriengineering8050172",

language = "Indefinido/desconocido",

journal = "AgriEngineering",

issn = "2624-7402",

}

TY - JOUR

T1 - Mapping Sugarcane Weeds Using Spectral Signatures Derived from Spectroscopic Data and Multispectral Images

AU - Iglesias, María P.

AU - Heenkenda, Muditha K.

AU - Romero Calvo, Kerin

PY - 2026/5/1

Y1 - 2026/5/1

UR - https://doi.org/10.3390/agriengineering8050172

U2 - 10.3390/agriengineering8050172

DO - 10.3390/agriengineering8050172

M3 - Artículo

SN - 2624-7402

JO - AgriEngineering

JF - AgriEngineering

ER -