{"url":"/task/hyperspectral-image-based-fruit-ripeness","name":"Hyperspectral Image-Based Fruit Ripeness Prediction","slug":"hyperspectral-image-based-fruit-ripeness","description_markdown":"Fruit ripeness prediction (FRP) is a classification-based agricultural computer vision task that aims to determine the maturity level of fruits from images. The objective is to assess the degree of ripeness by identifying and distinguishing between various stages (e.g., unripe, ripe, and overripe).","categories":[{"name":"Adversarial","url":"/area/adversarial"},{"name":"Audio","url":"/area/audio"},{"name":"Computer Code","url":"/area/computer-code"},{"name":"Computer Vision","url":"/area/computer-vision"},{"name":"Graphs","url":"/area/graphs"},{"name":"Medical","url":"/area/medical"},{"name":"Methodology","url":"/area/methodology"},{"name":"Miscellaneous","url":"/area/miscellaneous"},{"name":"Natural Language Processing","url":"/area/natural-language-processing"},{"name":"Reasoning","url":"/area/reasoning"},{"name":"Time Series","url":"/area/time-series"}],"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","slug_source":"archive_url"},"counts":{"papers_tagged":3,"papers_with_code":2,"benchmarks":1,"benchmark_tables_in_archive":1,"benchmark_tables_shown":1,"benchmark_tables_withheld_as_spam":0,"benchmark_definition":"a leaderboard table with at least one row; benchmark_tables_shown also counts the zero-row tables; benchmark_tables_in_archive adds the tables withheld as spam","datasets":1,"subtasks":0,"parent_tasks":1},"benchmarks":[{"leaderboard":"/sota/hyperspectral-image-based-fruit-ripeness","slug":"hyperspectral-image-based-fruit-ripeness","dataset":"DeepHS Fruit v2","dataset_url":"/dataset/deephs-fruit-v2","rows_in_archive":3,"metrics":["Overall Classification Accuracy"],"first_row_in_archive_order":{"model":"Fruit-HSNet","paper_title":"Fruit-HSNet: A Machine Learning Approach for Hyperspectral Image-Based Fruit Ripeness Prediction","paper_url":"/paper/fruit-hsnet-a-machine-learning-approach-for","paper_date":"2025-02-28","arxiv_id":null,"code_links":[],"syntology":null}}],"datasets":[{"url":"/dataset/deephs-fruit-v2","name":"DeepHS Fruit v2","full_name":"","num_papers_in_archive":4}],"subtasks":[],"parent_tasks":[{"url":"/task/classification-1","name":"Classification"}],"papers":{"order":"repositories listed in the archive (desc), then date (desc); the archive holds no stars","population":"papers tagged with this task that list at least one repository in the archive","shown":2,"of":2,"tagged_in_all":3,"items":[{"url":"/paper/wavelength-aware-2d-convolutions-for","title":"Wavelength-aware 2D Convolutions for Hyperspectral Imaging","date":"2022-09-05","arxiv_id":"2209.03136","repositories_listed":1,"syntology":null},{"url":"/paper/measuring-the-ripeness-of-fruit-with","title":"Measuring the Ripeness of Fruit with Hyperspectral Imaging and Deep Learning","date":"2021-04-20","arxiv_id":"2104.09808","repositories_listed":1,"syntology":null}],"syntology_records":0,"syntology_note":"a paper without a record is not a recorded non-run: it may lack an arXiv id or simply be absent from the graph layer"},"description_links":{"kept":0,"unwrapped_to_text":0,"bare_urls_linked":0,"relative_images_dropped":0,"rule":"internal links are kept only when the target slug exists in the catalog"},"syntology":{"read_at":"2026-09-24T18:15:14+00:00","claim":"Per-sample execution status on synthesized fixtures ('ran N of M samples'); not a correctness claim and not a ranking signal.","status_vocabulary":{"ran_honours":"ran, honoured the contract we drafted","ran_violates":"ran, violated the contract we drafted","ran_draft_wrong":"ran; our contract draft was wrong, not the code","ran_fixture":"ran; our fixture could not drive it","ran":"ran on a synthesized input","unverified":"unverified (harvested, no recorded run)"}},"not_shown":{"libraries":"the archive has no per-task library table","trend_sparklines":"the Trend column of the benchmarks table was a rendered image; it is not in the archive","social_and_latest_sorts":"stars and social signals are not in the archive"}}