Multi-output 1-dimensional convolutional neural networks for simultaneous prediction of different traits of fruit based on near-infrared spectroscopy
In spectral data predictive modelling of fresh fruit, often the models are calibrated to predict multiple responses. A common method to deal with such a multi-response predictive modelling is the partial least-squares (PLS2) regression. Recently, deep learning (DL) has shown to outperform partial le...
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| Format: | article |
| Language: | eng |
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2021
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| Online Access: | http://hdl.handle.net/10400.1/17263 |
| Country: | Portugal |
| Oai: | oai:sapientia.ualg.pt:10400.1/17263 |