Browse State-of-the-Art › Hyperspectral Image-Based Fruit Ripeness Prediction
Hyperspectral Image-Based Fruit Ripeness Prediction
2 papers with code · 1 benchmark · 1 dataset archive 2025-07-28
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).
Description from the archive archive 2025-07-28.
Benchmarks archive 2025-07-28
1 leaderboard table shown for this task, 1 with rows (a “benchmark” on this site is a table with at least one row, as on /sota), ordered by row count. “Best model” is the first row in the archive's own order at snapshot; nothing is re-ranked here and metric direction is not recorded in the archive. PwC's Trend sparklines are not in the archive, so that column is omitted.
| Dataset | Best model (first row in archive order) | Paper | Code | Syntology | Compare |
|---|---|---|---|---|---|
| DeepHS Fruit v2 (3 rows) | Fruit-HSNet | Fruit-HSNet: A Machine Learning Approach for Hyperspectral... | — | — | Compare |
Syntology column: samples harvested from the paper's repositories and executed on synthesized fixtures; “ran” is not a correctness claim and does not order the table. A dash means no Syntology record for that paper, not a recorded non-run. Read from the graph 2026-09-24.
Libraries
Not in the archive: the export carries no per-task library table, so there is nothing to show at snapshot 2025-07-28.
Datasets archive 2025-07-28
1 dataset whose archive record lists this task, ordered by the archive's paper count.
Subtasks archive 2025-07-28
No subtask under this task in the archive's task tree.
Parent tasks archive 2025-07-28
Most implemented papers archive 2025-07-28
2 shown of 2 papers with code (3 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.
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5 Sep 2022 1 repository listedTwo key challenges are the large channel dimension of the recordings and the incompatibility between cameras of different manufacturers.
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20 Apr 2021 1 repository listedWe present a system to measure the ripeness of fruit with a hyperspectral camera and a suitable deep neural network architecture.
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