ce), Rc: corrected hyperspectral image. Data source location Data are stored at Agricultural University of Athens (AUA) premises. Iera Odos 75, 11855 Athens, Greece, Department of Horticultural Engineering Data accessibility Repository name:Zenodo Table data Data identification number: 10.5281/zenodo.8362947 Direct URL to data: https://zenodo.org/record/8362947 Hyperspectral image data 1) Data identification number: 10.5281/zenodo.10301753 Direct URL to data: https://zenodo.org/records/10301753 2) Data identification number: 10.5281/zenodo.10302438 Direct URL to data: https://zenodo.org/records/10302438 3) Data identification number: 10.5281/zenodo.10302426 Direct URL to data: https:/
Open resource ↗Zenodo · 10.5281/zenodo.8362947 · lines:1-65Unverified paper record
SpectroFood dataset: A comprehensive fruit and vegetable hyperspectral meta-dataset for dry matter estimation.
Data in brief · 11 Jan 2024 · 10.1016/j.dib.2024.110040
Abstract
In the dataset presented in this article, samples belonging to one of the following crops, apple, broccoli, leek, and mushroom, were measured by hyperspectral cameras in the visible/near-infrared spectral domain (430-900 nm). The dataset was compiled by putting together measurements from different calibrated hyperspectral imaging cameras and crops to facilitate the training of artificial intelligence models, helping to overcome the generalization problem of hyperspectral models. In particular, this dataset focuses on estimating dry matter content across various crops by a single model in a non-destructive way using hyperspectral measurements. This dataset contains extracted mean reflectance spectra for each sample (n=1028) and their respective dry matter content (%).
Plant phenotyping relevance
複数作物の果実・器官について、ハイパースペクトル画像から乾物含量を非破壊推定するデータセットを構築しており、形質取得・推定手法と再利用可能なベンチマークが研究の中心である。
abstractThe dataset was compiled by putting together measurements from different calibrated hyperspectral imaging cameras and crops to facilitate the training of artificial intelligence models, helping to overcome the generalization problem of hyperspectral models.
abstractThis dataset contains extracted mean reflectance spectra for each sample (n=1028) and their respective dry matter content (%).
Code and data availability
The paper is a data descriptor for the SpectroFood hyperspectral dataset; all five Zenodo deposits (meta-dataset plus per-crop hyperspectral image data) are public, paper-specific phenotype/trait datasets with direct URLs in the Specifications Table.
Odos 75, 11855 Athens, Greece, Department of Horticultural Engineering Data accessibility Repository name:Zenodo Table data Data identification number: 10.5281/zenodo.8362947 Direct URL to data: https://zenodo.org/record/8362947 Hyperspectral image data 1) Data identification number: 10.5281/zenodo.10301753 Direct URL to data: https://zenodo.org/records/10301753 2) Data identification number: 10.5281/zenodo.10302438 Direct URL to data: https://zenodo.org/records/10302438 3) Data identification number: 10.5281/zenodo.10302426 Direct URL to data: https://zenodo.org/records/10302426 4) Data identification number: 10.5281/zenodo.10302386 Direct URL to data: https://zenodo.org/records/10302
Open resource ↗Zenodo · 10.5281/zenodo.10301753 · lines:1-65do Table data Data identification number: 10.5281/zenodo.8362947 Direct URL to data: https://zenodo.org/record/8362947 Hyperspectral image data 1) Data identification number: 10.5281/zenodo.10301753 Direct URL to data: https://zenodo.org/records/10301753 2) Data identification number: 10.5281/zenodo.10302438 Direct URL to data: https://zenodo.org/records/10302438 3) Data identification number: 10.5281/zenodo.10302426 Direct URL to data: https://zenodo.org/records/10302426 4) Data identification number: 10.5281/zenodo.10302386 Direct URL to data: https://zenodo.org/records/10302386 1. Value of the Data • Spectra were acquired using calibrated hyperspectral imaging systems under the same
Open resource ↗Zenodo · 10.5281/zenodo.10302438 · lines:1-658362947 Hyperspectral image data 1) Data identification number: 10.5281/zenodo.10301753 Direct URL to data: https://zenodo.org/records/10301753 2) Data identification number: 10.5281/zenodo.10302438 Direct URL to data: https://zenodo.org/records/10302438 3) Data identification number: 10.5281/zenodo.10302426 Direct URL to data: https://zenodo.org/records/10302426 4) Data identification number: 10.5281/zenodo.10302386 Direct URL to data: https://zenodo.org/records/10302386 1. Value of the Data • Spectra were acquired using calibrated hyperspectral imaging systems under the same controlled conditions for four crops with high variation of dry matter values amongst the same crop and across
Open resource ↗Zenodo · 10.5281/zenodo.10302426 · lines:1-65ps://zenodo.org/records/10301753 2) Data identification number: 10.5281/zenodo.10302438 Direct URL to data: https://zenodo.org/records/10302438 3) Data identification number: 10.5281/zenodo.10302426 Direct URL to data: https://zenodo.org/records/10302426 4) Data identification number: 10.5281/zenodo.10302386 Direct URL to data: https://zenodo.org/records/10302386 1. Value of the Data • Spectra were acquired using calibrated hyperspectral imaging systems under the same controlled conditions for four crops with high variation of dry matter values amongst the same crop and across all four. • The dry matter content of the four crops is the common variable when considering the quality of the
Open resource ↗Zenodo · 10.5281/zenodo.10302386 · lines:1-65This is an automatically classified, unverified record. Curator approval is required before any resource enters the Catalog.