Crop Classification

Benchmarks archive 2025-07-28

5 leaderboard tables shown for this task, 5 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.

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

5 datasets 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.

Most implemented papers archive 2025-07-28

21 shown of 21 papers with code (48 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.

• Increasing the Robustness of Model Predictions to Missing Sensors in Earth Observation
  22 Jul 2024 2 repositories listed
  Multi-sensor ML models for EO aim to enhance prediction accuracy by integrating data from various sources.
• The CropAndWeed Dataset: A Multi-Modal Learning Approach for Efficient Crop and Weed Manipulation
  6 Jan 2023 2 repositories listed
  Precision Agriculture and especially the application of automated weed intervention represents an increasingly essential research area, as sustainability and efficiency considerations are becoming more and more relevant.
• 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…
• A Joint Learning Framework with Feature Reconstruction and Prediction for Incomplete Satellite Image Time Series in Agricultural Semantic Segmentation
  25 May 2025 1 repository listed
  The two tasks are guided by both ground-truth labels and the teacher model trained on complete SITS.
• SITSMamba for Crop Classification based on Satellite Image Time Series
  15 Sep 2024 1 repository listed
  In this paper, we proposed a Satellite Image Time Series Mamba (SITSMamba) method for crop classification based on remote sensing time series data.
• 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.
• Low-Resource Crop Classification from Multi-Spectral Time Series Using Lossless Compressors
  28 May 2024 1 repository listed
  In low-resource situations with fewer labeled samples, deep learning models perform poorly due to insufficient data.
• In the Search for Optimal Multi-view Learning Models for Crop Classification with Global Remote Sensing Data
  25 Mar 2024 1 repository listed
  The methods used in the MVL scenario can be structured based on the encoder architecture, the fusion strategy, and the optimization technique.
• Impact Assessment of Missing Data in Model Predictions for Earth Observation Applications
  21 Mar 2024 1 repository listed
  In this work, we assess the impact of missing temporal and static EO sources in trained models across four datasets with classification and regression tasks.
• A Comparative Assessment of Multi-view fusion learning for Crop Classification
  10 Aug 2023 1 repository listed
  Instead, we present a comparison of multi-view fusion methods for three different datasets and show that, depending on the test region, different methods obtain the best performance.
• Crop identification using deep learning on LUCAS crop cover photos
  8 May 2023 1 repository listed
  The aim of this paper is to select and publish a subset of LUCAS Cover photos for 12 mature major crops across the EU, to deploy, benchmark, and identify the best configuration of Mobile-net for the classification task,…
• Lightweight, Pre-trained Transformers for Remote Sensing Timeseries
  27 Apr 2023 1 repository listed Syntology ran 0 of 13 samples · 13 unverified
  Machine learning methods for satellite data have a range of societally relevant applications, but labels used to train models can be difficult or impossible to acquire.
• Activation Regression for Continuous Domain Generalization with Applications to Crop Classification
  14 Apr 2022 1 repository listed
  Geographic variance in satellite imagery impacts the ability of machine learning models to generalise to new regions.
• A Sentinel-2 multi-year, multi-country benchmark dataset for crop classification and segmentation with deep learning
  2 Apr 2022 1 repository listed
  In this work we introduce Sen4AgriNet, a Sentinel-2 based time series multi country benchmark dataset, tailored for agricultural monitoring applications with Machine and Deep Learning.
• Generalized Classification of Satellite Image Time Series with Thermal Positional Encoding
  17 Mar 2022 1 repository listed Syntology ran 3 of 3 samples · 0 unverified
  Unlike previous positional encoding based on calendar time (e.
• TimeMatch: Unsupervised Cross-Region Adaptation by Temporal Shift Estimation
  4 Nov 2021 1 repository listed
  However, when applied to target regions spatially different from the training region, these models perform poorly without any target labels due to the temporal shift of crop phenology between regions.
• 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.
• Crop mapping from image time series: deep learning with multi-scale label hierarchies
  17 Feb 2021 1 repository listed
  The three-level label hierarchy is encoded in a convolutional, recurrent neural network (convRNN), such that for each pixel the model predicts three labels at different level of granularity.
• Crop Classification under Varying Cloud Cover with Neural Ordinary Differential Equations
  4 Dec 2020 1 repository listed
  We propose to use neural ordinary differential equations (NODEs) in combination with RNNs to classify crop types in irregularly spaced image sequences.
• Spatio-temporal crop classification of low-resolution satellite imagery with capsule layers and distributed attention
  23 Apr 2019 1 repository listed
  Land use classification of low resolution spatial imagery is one of the most extensively researched fields in remote sensing.
• Attention-Based Deep Neural Networks for Detection of Cancerous and Precancerous Esophagus Tissue on Histopathological Slides
  20 Nov 2018 1 repository listed
  Deep learning-based methods, such as the sliding window approach for cropped-image classification and heuristic aggregation for whole-slide inference, for analyzing histological patterns in high-resolution microscopy…

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.