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# In the search for an optimal multi-view crop classifier
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<a href="https://github.com/fmenat/mvlearning"> <img src="https://img.shields.io/badge/Package-mvlearning-blue"/> </a> [![paper](https://img.shields.io/badge/arXiv-2308.05407-D12424)](https://www.arxiv.org/abs/2308.05407)
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<a href="https://github.com/fmenat/mvlearning"> <img src="https://img.shields.io/badge/Package-mvlearning-blue"/> </a>
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[![paper](https://img.shields.io/badge/arXiv-2308.05407-D12424)](https://www.arxiv.org/abs/2308.05407)
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Public repository of our work in the search for an optimal multi-view crop classifier
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## Data
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The data used comes from https://github.com/nasaharvest/cropharvest. However we also share the code used to generate the data structures that we used in [data folder](./data).
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# :scroll: Source
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Mena, Francisco, Diego Arenas, and Andreas Dengel. "*In the Search for Optimal Multi-view Learning Models for Crop Classification with Global Remote Sensing Data.*", 2024.
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* :unlock: [Preprint](https://arxiv.org/abs/2403.16582)

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