Data Structure ?
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Data Structure ?
*The above analysis is the result extracted and analyzed by the system, and the specific actual data shall prevail.
README.md
作物品種識別は農業研究、産業、政策の基礎です。このデータは、小型近赤外分光器を用いて収集した可視光/近赤外高分解能分光データがエチオピアにおけるオオムギ、ヒヨコマメ、ソルガムの品種識別における実行可能性を調査したものです。従来の実験室ベースの分光器と比較して、小型NIR分光器は最小限の機器とユーザーの関与しか必要としません。本研究の目的のために、消費者向け物理機器SCIOを購入しました。これは、この文章を書いている時点で1000ドルの開発ツールキットとして提供されています。この機器はスマートフォンアプリを用いて操作され、インターネット接続が必要で、分光データは遠隔で保存されます。この機器の全波長範囲は740 - 1070 nm（331個の変数）です。すべての穀物サンプルは同じ位置で注意深くスキャンされました。最近発売された小型近赤外分光器SCIOを用いて、2650粒のオオムギ、ヒヨコマメ、ソルガムの品種がスキャンされました。各品種からランダムに50粒が選ばれてスキャンされました。列予測子は品種名を表し、列740から1070はSCIOの波長（ナノメートル単位）に対応しています。このデータセットは以下の研究の一部として作成されました：「[品種識別のための小型NIR分光器の評価：エチオピアのオオムギ、ヒヨコマメ、ソルガムの事例][2]」。着想：小型分光器の分光データで作物品種を識別できるでしょうか？[1]: https://www.consumerphysics.com/business/technology/ [2]: http://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0193620&type=printable
The dataset is currently being organized and other channels have been prepared for you. Please use them
The dataset is currently being organized and other channels have been prepared for you. Please use them
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- 1. The data originates from internet data collection or provided by service providers, and this platform offers users the ability to view and browse datasets.
- 2. This platform serves only as a basic information display for datasets, including but not limited to image, text, video, and audio file types.
- 3. Basic dataset information comes from the original data source or the information provided by the data provider. If there are discrepancies in the dataset description, please refer to the original data source or service provider's address.
- 1. All datasets on this site are copyrighted by their original publishers or data providers.
- 1. If you need to repost data from this site, please retain the original data source URL and related copyright notices.
- 1. If any data on this site involves infringement, please contact us promptly, and we will arrange for the data to be taken offline.
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