SiEUGreen - Data for 'Deep Learning in Hyperspectral Image Reconstruction from Single RGB images—A Case Study on Tomato Quality Parameters'

<p>Dataset used in the scientific publication <a href="https://zenodo.org/record/4671852">&#39;Deep Learning in Hyperspectral Image Reconstruction from Single RGB images&mdash;A Case Study on Tomato Quality Parameters&#39;</a>. The&nbsp;data includes chemical contents of tomatoes that was measured,&nbsp;images and scripts used in the paper.&nbsp;The scripts here aim to predict tomato quality parameters, sugar content, acidity, sugar acid ratio and lycopene, of automatically segmented tomato through hyperspectral image reconstruction from single RGB image. The same data can also be found at the <a href="https://github.com/ZJiangsan/TomatoQualityPredictionOnAutomaticallySegmentedTomato">Github repository</a>. The data collection and scientific paper was produced by SiEUGreen partners at Norwegian Institute of Bioeconomy Research (NIBIO).</p>