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data archive 103 disk0/00/00/02/28 2025-11-04 16:08:26 2025-12-01 14:21:26 2025-12-01 12:54:58 data_collection show A large and diverse collection of 3636 hyperspectral images of 5756 apple samples from 3 seasons, 6 cultivars and 2 countries and their associated brix, firmness and starch data. Some models trained on this data Apple Hyperspectral images Maturity QP SB TR sch_ecs Tang Haidee haideet95@gmail.com University of Essex https://orcid.org/0000-0001-9353-2847 Niab, East Malling School of Computer Science and Electrical Engineering, University of Essex} The New Zealand Institute of Bioeconomy Science Ltd, Hawke's Bay Image Mixed Tang Haidee haideet95@gmail.com University of Essex https://orcid.org/0000-0001-9353-2847 2021-09-30 2025-09-29 2022-03-28 2024-10-23 Kent and Hawke's Bay Hyperspectral imaging using the hyperspectral Specim IQ camera (Specim Imaging Ltd., Oulu, Finland) in a dark room. Maturity data was collected after imaging using the following instruments: Firmness - Llyod LRX, UK and GÜSS, South Africa, Brix - portable benchtop palette series, model PR-32α and pocket PAL series, model PAL-1,and starch - spray or dip in a potassium iodide solution and record the staining percentage. English English https://gtr.ukri.org/projects?ref=BB/W510762/1 Using climatic and microbiome data to predict apple fruit quality website https://doi.org/10.5526/ERR-00042045 Using climatic and imaging data to predict apple phenology publication Tang Haidee haideet95@gmail.com University of Essex https://orcid.org/0000-0001-9353-2847 2025-09-24 University of Essex Tang Haidee haideet95@gmail.com University of Essex https://orcid.org/0000-0001-9353-2847 10.5526/ERDR-00000228 BB/W510762/1 Using climatic and imaging data to predict apple fruit maturity BBSRC 2021-09-30 2025-09-29 United Kingdom and New Zealand For research purposes only.