Analysis of tomato sepal fungal infection using hyperspectral imaging and deep learning

Abstract of the research on detection of fungal infection on tomato sepals using convolutional neural networks, presented at the WHISPERS conference in Helsinki, Finland, 2024.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2024-12-09
DOI
https://doi.org/10.5281/zenodo.15017581
Primary Topic
Spectroscopy and Chemometric Analyses
Type
article
Field-Weighted Citation Impact
0.00
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article

Analysis of tomato sepal fungal infection using hyperspectral imaging and deep learning

Zenodo (CERN European Organization for Nuclear Research)
Spectroscopy and Chemometric Analyses
article

Analysis of tomato sepal fungal infection using hyperspectral imaging and deep learning

article en

Abstract

Abstract of the research on detection of fungal infection on tomato sepals using convolutional neural networks, presented at the WHISPERS conference in Helsinki, Finland, 2024.

Zenodo (CERN European Organization for Nuclear Research)
BioSense Institute (RS), Institute of Crop Science (JP), Wageningen University & Research (NL)
Openalex Percentile: Top 64%
Spectroscopy and Chemometric Analyses
DOIOpen Access PDFOpenAlex
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