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Add dataset
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@ -8,6 +8,9 @@ The other three dataset (corn, marzipan, soil) were preprocessed manually with M
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The mango dataset is not in Matlab .m file format, so we save them with the `process.py`.
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The mango dataset is not in Matlab .m file format, so we save them with the `process.py`.
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Meanwhile, we drop the useless part and only save the data between 684 and 900 nm.
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Meanwhile, we drop the useless part and only save the data between 684 and 900 nm.
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All these datasets are available at this [link](https://drive.google.com/drive/folders/1RFREskNcI2sDv6p7lvLhxFRLUgVTwho6?usp=sharing)
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> The data set used in this study comprises a total of 11,691 NIR spectra (684–990 nm in 3 nm sampling with a total 103 variables) and DM measurements performed on 4675 mango fruit across 4 harvest seasons 2015, 2016, 2017 and 2018 [24].
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> The data set used in this study comprises a total of 11,691 NIR spectra (684–990 nm in 3 nm sampling with a total 103 variables) and DM measurements performed on 4675 mango fruit across 4 harvest seasons 2015, 2016, 2017 and 2018 [24].
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The detailed preprocessing progress can be found in [./preprocess.ipynb](./preprocess.ipynb)
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The detailed preprocessing progress can be found in [./preprocess.ipynb](./preprocess.ipynb)
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