About
Contact & Profiles
A5035740235
Research Areas
- Spectroscopy and Chemometric Analyses
- Smart Agriculture and AI
- Identification and Quantification in Food
Eskişehir Osmangazi University
2019
The sustainable management of agricultural resources requires the integration cutting-edge science with observation and identification crops. This assists experts to make correct decisions. aim this study is assess robustness a commonly used deep learning tool, VGG16, in improving categorization wheat kernels. Two fusion methodologies were considered simultaneously. We performed experiments on visible light (RGB), short wave infrared (SWIR), visible-near (VNIR) datasets, including 40...
10.1002/jsfa.9732
article
EN
Journal of the Science of Food and Agriculture
2019-04-12
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