Crop Type Mapping

Benchmarks archive 2025-07-28

No benchmark for this task in the archive.

Libraries

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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

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Most implemented papers archive 2025-07-28

7 shown of 7 papers with code (20 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.

• BreizhCrops: A Time Series Dataset for Crop Type Mapping
  28 May 2019 2 repositories listed Syntology ran 1 of 1 samples · 0 unverified · 1 pointer-only (licence)
  We present Breizhcrops, a novel benchmark dataset for the supervised classification of field crops from satellite time series.
• End-to-End Learned Early Classification of Time Series for In-Season Crop Type Mapping
  30 Jan 2019 2 repositories listed
  In this work, we present an End-to-End Learned Early Classification of Time Series (ELECTS) model that estimates a classification score and a probability of whether sufficient data has been observed to come to an early…
• On the Generalizability of Foundation Models for Crop Type Mapping
  14 Sep 2024 1 repository listed
  Foundation models pre-trained using self-supervised learning have shown powerful transfer learning capabilities on various downstream tasks, including language understanding, text generation, and image recognition.
• SpectralEarth: Training Hyperspectral Foundation Models at Scale
  15 Aug 2024 1 repository listed Syntology ran 3 of 7 samples · 4 unverified
  To close this gap, we introduce SpectralEarth, a large-scale multi-temporal dataset designed to pretrain hyperspectral foundation models leveraging data from the Environmental Mapping and Analysis Program (EnMAP).
• SICKLE: A Multi-Sensor Satellite Imagery Dataset Annotated with Multiple Key Cropping Parameters
  29 Nov 2023 1 repository listed
  Out of the 2, 370 samples, 351 paddy samples from 145 plots are annotated with multiple crop parameters; such as the variety of paddy, its growing season and productivity in terms of per-acre yields.
• Crop Rotation Modeling for Deep Learning-Based Parcel Classification from Satellite Time Series
  15 Oct 2021 1 repository listed
  While annual crop rotations play a crucial role for agricultural optimization, they have been largely ignored for automated crop type mapping.
• Semantic segmentation of crop type in Africa: A novel dataset and analysis of deep learning methods
  1 Jun 2019 1 repository listed
  To address this gap in the literature, we provide the first crop type semantic segmentation dataset of small holder farms, specifically in Ghana and South Sudan.

Syntology lines on 2 of the papers shown; no Syntology record for the others (a paper without an arXiv id cannot be joined to the graph, and absence from the graph layer is not a recorded non-run). “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced. Read from the graph 2026-09-24.