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Paper Citation Record · LEDGER

Domain Adaptation for Big Data in Agricultural Image Analysis: A Comprehensive Review

As of 20 August 2026, this Paper Citation Record lists 100 of 155 outbound references and 2 inbound Pith citation observations for arXiv:2506.05972.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2506.05972 v5

Coverage vector

measured 100 of 155 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T10:17:32.074467Z

measured 102 of 102 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-28T15:36:55.675366Z

measured 1 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

100 of 155 outbound references displayed

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External citation measurements

2
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

Observation 94a62121-2fd3-45c5-b5c7-d3827647ac9b · outbound

This paper cites Latent do- main generation for unsupervised domain adaptation object counting,.

Domain Adaptation for Big Data in Agricultural Image Analysis: A Comprehensive Review Latent do- main generation for unsupervised domain adaptation object counting,

Reference 1

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Observation 7aa64568-a13c-498f-a1fe-e2a6dfa30077 · outbound

This paper cites Qui ˜nonero-Candela, Dataset shift in machine learning.

Domain Adaptation for Big Data in Agricultural Image Analysis: A Comprehensive Review Qui ˜nonero-Candela, Dataset shift in machine learning

Reference 2

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Observation b60ff8e5-1547-4292-88c4-c486e2f3b22a · outbound

This paper cites A review of deep learning techniques for identification and diagnosis of plant leaf disease,.

Domain Adaptation for Big Data in Agricultural Image Analysis: A Comprehensive Review A review of deep learning techniques for identification and diagnosis of plant leaf disease,

Reference 3

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Observation bfbd73b0-51df-4c4f-80aa-8bca3ee34f01 · outbound

This paper cites Cumulative unsupervised multi-domain adaptation for holstein cattle re-identification,.

Domain Adaptation for Big Data in Agricultural Image Analysis: A Comprehensive Review Cumulative unsupervised multi-domain adaptation for holstein cattle re-identification,

Reference 4

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Observation b9970d93-2b78-4f19-b66a-e3103bba79c2 · outbound

This paper cites Convolutional neural networks for image-based high-throughput plant phenotyping: a review,.

Domain Adaptation for Big Data in Agricultural Image Analysis: A Comprehensive Review Convolutional neural networks for image-based high-throughput plant phenotyping: a review,

Reference 5

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Observation eb1514bb-9bb7-4179-8399-592a57f570a1 · outbound

This paper cites A comprehensive survey on domain adaptation for visual applications,.

Domain Adaptation for Big Data in Agricultural Image Analysis: A Comprehensive Review A comprehensive survey on domain adaptation for visual applications,

Reference 6

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Observation 3b57c048-1a8c-4be5-9cb7-95b6d1827d08 · outbound

This paper cites Deep visual domain adaptation: A survey,.

Domain Adaptation for Big Data in Agricultural Image Analysis: A Comprehensive Review Deep visual domain adaptation: A survey,

Reference 7

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Observation b3e5b0eb-bc7b-4066-9db0-24e48404c525 · outbound

This paper cites A survey of unsupervised deep domain adaptation,.

Domain Adaptation for Big Data in Agricultural Image Analysis: A Comprehensive Review A survey of unsupervised deep domain adaptation,

Reference 8

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Observation 0127531c-5d76-4a09-957c-431334ad7e41 · outbound

This paper cites A review of domain adaptation without target labels,.

Domain Adaptation for Big Data in Agricultural Image Analysis: A Comprehensive Review A review of domain adaptation without target labels,

Reference 9

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Observation f8fe39ac-02ee-4962-9ec3-3a41146b383b · outbound

This paper cites Visual domain adaptation: A survey of recent advances,.

Domain Adaptation for Big Data in Agricultural Image Analysis: A Comprehensive Review Visual domain adaptation: A survey of recent advances,

Reference 10

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Observation 6f61b975-d912-4c03-90d4-787f53f373cd · outbound

This paper cites A survey of multi-source domain adaptation,.

Domain Adaptation for Big Data in Agricultural Image Analysis: A Comprehensive Review A survey of multi-source domain adaptation,

Reference 11

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Observation ee086d2c-c823-478e-8a30-4fb734f508e9 · outbound

This paper cites Multi-source Domain Adaptation in the Deep Learning Era: A Systematic Survey.

Domain Adaptation for Big Data in Agricultural Image Analysis: A Comprehensive Review Multi-source Domain Adaptation in the Deep Learning Era: A Systematic Survey

Reference 12

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Observation 65aa0ec7-d2b7-4e12-9927-880c7cb58230 · outbound

This paper cites Yang,“a survey on transfer learning,.

Domain Adaptation for Big Data in Agricultural Image Analysis: A Comprehensive Review Yang,“a survey on transfer learning,

Reference 13

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Observation 990001d4-7c4d-4839-9f02-2c5ad6f5711c · outbound

This paper cites Transfer learning for visual categorization: A survey,.

Domain Adaptation for Big Data in Agricultural Image Analysis: A Comprehensive Review Transfer learning for visual categorization: A survey,

Reference 14

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Observation bf3dc022-8590-43c5-ba42-161e2a26ab2c · outbound

This paper cites Recent advances in transfer learning for cross-dataset visual recognition: A problem-oriented per- spective,.

Domain Adaptation for Big Data in Agricultural Image Analysis: A Comprehensive Review Recent advances in transfer learning for cross-dataset visual recognition: A problem-oriented per- spective,

Reference 15

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Observation f38dfc88-3f29-49b7-bb23-a2bd0f77b46e · outbound

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Domain Adaptation for Big Data in Agricultural Image Analysis: A Comprehensive Review A survey on deep transfer learning,

Reference 16

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Observation 615d50ef-a660-4b77-9609-bbe011732d00 · outbound

This paper cites A comprehensive survey on transfer learning,.

Domain Adaptation for Big Data in Agricultural Image Analysis: A Comprehensive Review A comprehensive survey on transfer learning,

Reference 17

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Observation 3dae2b56-7f02-4a6a-8895-638bf00348b2 · outbound

This paper cites Rich feature hierarchies for accurate object detection and semantic segmentation,.

Domain Adaptation for Big Data in Agricultural Image Analysis: A Comprehensive Review Rich feature hierarchies for accurate object detection and semantic segmentation,

Reference 18

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Observation 03b602bc-b179-464a-8670-ffc785c7c617 · outbound

This paper cites Fast r-cnn,.

Domain Adaptation for Big Data in Agricultural Image Analysis: A Comprehensive Review Fast r-cnn,

Reference 19

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Observation c3349d9d-a91d-4c6e-aede-7466636ac6cc · outbound

This paper cites Towards real-time object detection with region proposal networks,.

Domain Adaptation for Big Data in Agricultural Image Analysis: A Comprehensive Review Towards real-time object detection with region proposal networks,

Reference 20

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Observation bb96e21f-4ac4-44b6-81ae-420f6ccd4331 · outbound

This paper cites A robust deep- learning-based detector for real-time tomato plant diseases and pests recognition,.

Domain Adaptation for Big Data in Agricultural Image Analysis: A Comprehensive Review A robust deep- learning-based detector for real-time tomato plant diseases and pests recognition,

Reference 21

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Observation 69795de8-9c69-4609-9a90-07cc02ef2a79 · outbound

This paper cites Transfer joint matching for unsupervised domain adaptation,.

Domain Adaptation for Big Data in Agricultural Image Analysis: A Comprehensive Review Transfer joint matching for unsupervised domain adaptation,

Reference 22

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Observation 6dcee90c-9456-4a3b-968c-2ad40670ae97 · outbound

This paper cites Diafan-tl: An instance weighting-based transfer learning algorithm with application to phe- nology forecasting,.

Domain Adaptation for Big Data in Agricultural Image Analysis: A Comprehensive Review Diafan-tl: An instance weighting-based transfer learning algorithm with application to phe- nology forecasting,

Reference 23

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Observation 61828039-8fd1-4276-a685-b61a67f7aef2 · outbound

This paper cites Ran- domized histogram matching: A simple augmentation for unsupervised domain adaptation in overhead imagery,.

Domain Adaptation for Big Data in Agricultural Image Analysis: A Comprehensive Review Ran- domized histogram matching: A simple augmentation for unsupervised domain adaptation in overhead imagery,

Reference 24

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Observation d1a9c377-e5ae-41d2-a54b-24951a3957a4 · outbound

This paper cites Iterative weighted active transfer learning hyperspectral image classification,.

Domain Adaptation for Big Data in Agricultural Image Analysis: A Comprehensive Review Iterative weighted active transfer learning hyperspectral image classification,

Reference 25

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This paper cites Cost-sensitive self-paced learning with adaptive regularization for classification of image time series,.

Domain Adaptation for Big Data in Agricultural Image Analysis: A Comprehensive Review Cost-sensitive self-paced learning with adaptive regularization for classification of image time series,

Reference 26

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Observation 54b0d950-f54d-4565-9f62-e393e859ab65 · outbound

This paper cites Domain adaptation for the classification of remote sensing data: An overview of recent advances,.

Domain Adaptation for Big Data in Agricultural Image Analysis: A Comprehensive Review Domain adaptation for the classification of remote sensing data: An overview of recent advances,

Reference 27

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Observation d4bc28f3-ca55-406a-9ad4-ea39c7cb253a · outbound

This paper cites Identifying autism spectrum disorder with multi-site fmri via low-rank domain adaptation,.

Domain Adaptation for Big Data in Agricultural Image Analysis: A Comprehensive Review Identifying autism spectrum disorder with multi-site fmri via low-rank domain adaptation,

Reference 28

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Domain Adaptation for Big Data in Agricultural Image Analysis: A Comprehensive Review Unsupervised visual domain adaptation using subspace alignment,

Reference 29

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This paper cites Return of frustratingly easy domain adaptation,.

Domain Adaptation for Big Data in Agricultural Image Analysis: A Comprehensive Review Return of frustratingly easy domain adaptation,

Reference 30

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This paper cites A modified correlation alignment algorithm for the domain adaptation of gf-5 hyperspectral image,.

Domain Adaptation for Big Data in Agricultural Image Analysis: A Comprehensive Review A modified correlation alignment algorithm for the domain adaptation of gf-5 hyperspectral image,

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This paper cites Early crop classification via multi-modal satellite data fusion and temporal attention,.

Domain Adaptation for Big Data in Agricultural Image Analysis: A Comprehensive Review Early crop classification via multi-modal satellite data fusion and temporal attention,

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This paper cites An adversarial generative network for crop classification from remote sensing timeseries images,.

Domain Adaptation for Big Data in Agricultural Image Analysis: A Comprehensive Review An adversarial generative network for crop classification from remote sensing timeseries images,

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This paper cites Cross domain early crop mapping with label spaces discrepancies using multicropgan,.

Domain Adaptation for Big Data in Agricultural Image Analysis: A Comprehensive Review Cross domain early crop mapping with label spaces discrepancies using multicropgan,

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This paper cites Domain adaptation for agricultural image recognition and segmentation using category maps,.

Domain Adaptation for Big Data in Agricultural Image Analysis: A Comprehensive Review Domain adaptation for agricultural image recognition and segmentation using category maps,

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This paper cites A novel approach to the selection of spatially invariant features for the classification of hyperspectral images with improved generalization capability,.

Domain Adaptation for Big Data in Agricultural Image Analysis: A Comprehensive Review A novel approach to the selection of spatially invariant features for the classification of hyperspectral images with improved generalization capability,

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This paper cites Kernel-based domain-invariant feature selection in hyperspectral images for transfer learning,.

Domain Adaptation for Big Data in Agricultural Image Analysis: A Comprehensive Review Kernel-based domain-invariant feature selection in hyperspectral images for transfer learning,

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This paper cites A sensor-driven hierarchical method for domain adaptation in classification of remote sensing images,.

Domain Adaptation for Big Data in Agricultural Image Analysis: A Comprehensive Review A sensor-driven hierarchical method for domain adaptation in classification of remote sensing images,

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Observation 9b857931-6567-42d1-8ec1-cdd35ab2d789 · outbound

This paper cites Tradaboost based on improved particle swarm optimization for cross-domain scene classification with limited samples,.

Domain Adaptation for Big Data in Agricultural Image Analysis: A Comprehensive Review Tradaboost based on improved particle swarm optimization for cross-domain scene classification with limited samples,

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Observation e6b2ddd5-e1b0-4ff8-b627-8ce03e4695bf · outbound

This paper cites Set-based similarity learning in subspace for agricultural remote sensing classification,.

Domain Adaptation for Big Data in Agricultural Image Analysis: A Comprehensive Review Set-based similarity learning in subspace for agricultural remote sensing classification,

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Observation 09e086fa-12de-4eaa-97ba-b465fbf0c1ac · outbound

This paper cites Hierarchical subspace learning based unsupervised domain adaptation for cross-domain classification of remote sensing images,.

Domain Adaptation for Big Data in Agricultural Image Analysis: A Comprehensive Review Hierarchical subspace learning based unsupervised domain adaptation for cross-domain classification of remote sensing images,

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Observation a2adc75c-b479-4643-94ed-ac43786ecc66 · outbound

This paper cites Morphological features for leaf based plant recognition,.

Domain Adaptation for Big Data in Agricultural Image Analysis: A Comprehensive Review Morphological features for leaf based plant recognition,

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Observation 502810a8-602f-40dd-bb81-bcf02c1e5f75 · outbound

This paper cites Domain adaptation via transfer component analysis,.

Domain Adaptation for Big Data in Agricultural Image Analysis: A Comprehensive Review Domain adaptation via transfer component analysis,

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Observation 5a3057ae-459c-421b-9b10-853e82d0c714 · outbound

This paper cites Unsupervised retraining of a maximum likelihood classifier for the analysis of multitemporal remote sensing images,.

Domain Adaptation for Big Data in Agricultural Image Analysis: A Comprehensive Review Unsupervised retraining of a maximum likelihood classifier for the analysis of multitemporal remote sensing images,

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Observation 549919a3-a35e-4950-bffb-5b60d0bb780e · outbound

This paper cites A partially unsupervised cascade classifier for the analysis of multitemporal remote-sensing images,.

Domain Adaptation for Big Data in Agricultural Image Analysis: A Comprehensive Review A partially unsupervised cascade classifier for the analysis of multitemporal remote-sensing images,

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Observation d7eac2c9-5dae-4e54-8606-9faf6128eb78 · outbound

This paper cites A multiple-cascade-classifier system for a robust and partially unsupervised updating of land-cover maps,.

Domain Adaptation for Big Data in Agricultural Image Analysis: A Comprehensive Review A multiple-cascade-classifier system for a robust and partially unsupervised updating of land-cover maps,

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Observation fd660597-7c0a-4823-8b65-f868453e827e · outbound

This paper cites Combining parametric and non-parametric algorithms for a partially unsupervised classification of multitemporal remote-sensing images,.

Domain Adaptation for Big Data in Agricultural Image Analysis: A Comprehensive Review Combining parametric and non-parametric algorithms for a partially unsupervised classification of multitemporal remote-sensing images,

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Observation a99f46ed-46f9-40e3-8ef2-65dbb17f2169 · outbound

This paper cites An iterative training sample updating ap- proach for domain adaptation in hyperspectral image classification,.

Domain Adaptation for Big Data in Agricultural Image Analysis: A Comprehensive Review An iterative training sample updating ap- proach for domain adaptation in hyperspectral image classification,

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Observation 25213bce-ccf1-4311-8706-e3fb30920bf9 · outbound

This paper cites Combining multiple classifiers for domain adaptation of remote sensing image classification,.

Domain Adaptation for Big Data in Agricultural Image Analysis: A Comprehensive Review Combining multiple classifiers for domain adaptation of remote sensing image classification,

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Observation 54d40616-9fc4-46fe-9372-bc30b20ee127 · outbound

This paper cites An open set domain adaptation algorithm via exploring transferability and discriminability for remote sensing image scene classification,.

Domain Adaptation for Big Data in Agricultural Image Analysis: A Comprehensive Review An open set domain adaptation algorithm via exploring transferability and discriminability for remote sensing image scene classification,

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Observation db11614b-3780-4b4c-93a9-8888bd93b911 · outbound

This paper cites Adapting remote sensing to new domain with elm parameter transfer,.

Domain Adaptation for Big Data in Agricultural Image Analysis: A Comprehensive Review Adapting remote sensing to new domain with elm parameter transfer,

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Observation 01a4ed45-7fa3-4c6a-a2f9-8cf1347eea50 · outbound

This paper cites Exploiting class hierarchies for knowledge transfer in hyperspectral data,.

Domain Adaptation for Big Data in Agricultural Image Analysis: A Comprehensive Review Exploiting class hierarchies for knowledge transfer in hyperspectral data,

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Observation 4ca21e02-c20a-44fc-93b8-3efe05f2febc · outbound

This paper cites Domain adaptation problems: A dasvm classification technique and a circular validation strategy,.

Domain Adaptation for Big Data in Agricultural Image Analysis: A Comprehensive Review Domain adaptation problems: A dasvm classification technique and a circular validation strategy,

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Observation 132de714-dc65-476e-8043-5b10aef68c10 · outbound

This paper cites Active multi-kernel domain adaptation for hyperspectral image classification,.

Domain Adaptation for Big Data in Agricultural Image Analysis: A Comprehensive Review Active multi-kernel domain adaptation for hyperspectral image classification,

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Observation 2bee1628-602d-4a04-9e03-0a6dcf0bbfad · outbound

This paper cites Deep learning-based cross- sensor domain adaptation under active learning for land cover classi- fication,.

Domain Adaptation for Big Data in Agricultural Image Analysis: A Comprehensive Review Deep learning-based cross- sensor domain adaptation under active learning for land cover classi- fication,

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Observation 8d5a57b1-5a38-4e10-ac5f-d249902729a1 · outbound

This paper cites Active multiple kernel fredholm learning for hyperspectral images classification,.

Domain Adaptation for Big Data in Agricultural Image Analysis: A Comprehensive Review Active multiple kernel fredholm learning for hyperspectral images classification,

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Observation e9d20ea0-4c29-4109-8d93-51d726113892 · outbound

This paper cites Encoding invariances in remote sensing image classification with svm,.

Domain Adaptation for Big Data in Agricultural Image Analysis: A Comprehensive Review Encoding invariances in remote sensing image classification with svm,

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Observation 64ffe06e-dd43-4f19-b84c-717c6cd2dcd7 · outbound

This paper cites Easy transfer learning by exploiting intra-domain structures,.

Domain Adaptation for Big Data in Agricultural Image Analysis: A Comprehensive Review Easy transfer learning by exploiting intra-domain structures,

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Observation 166942c2-4b78-49e4-870b-244f2ab0d595 · outbound

This paper cites Combining generative adversarial networks and agricultural transfer learning for weeds identification,.

Domain Adaptation for Big Data in Agricultural Image Analysis: A Comprehensive Review Combining generative adversarial networks and agricultural transfer learning for weeds identification,

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Observation cd673f2d-ca30-47d7-8f1f-7b960e4f1f91 · outbound

This paper cites Extraction of agricultural fields via dasfnet with dual attention mechanism and multi-scale feature fusion in south xinjiang, china,.

Domain Adaptation for Big Data in Agricultural Image Analysis: A Comprehensive Review Extraction of agricultural fields via dasfnet with dual attention mechanism and multi-scale feature fusion in south xinjiang, china,

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Observation c8da143a-1d32-4bf3-ae29-049d02e450a8 · outbound

This paper cites Full convo- lution neural network combined with contextual feature representation for cropland extraction from high-resolution remote sensing images,.

Domain Adaptation for Big Data in Agricultural Image Analysis: A Comprehensive Review Full convo- lution neural network combined with contextual feature representation for cropland extraction from high-resolution remote sensing images,

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Observation 77fb24d9-e547-4f4d-83ef-1958bcab0a57 · outbound

This paper cites Multi- scale adaptive feature fusion network for semantic segmentation in remote sensing images,.

Domain Adaptation for Big Data in Agricultural Image Analysis: A Comprehensive Review Multi- scale adaptive feature fusion network for semantic segmentation in remote sensing images,

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Observation 26b6e22d-81ec-4c02-a43c-82bf7e7a6f88 · outbound

This paper cites High-resolution boundary refined convolutional neural network for automatic agricultural green- houses extraction from gaofen-2 satellite imageries,.

Domain Adaptation for Big Data in Agricultural Image Analysis: A Comprehensive Review High-resolution boundary refined convolutional neural network for automatic agricultural green- houses extraction from gaofen-2 satellite imageries,

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Observation 1ada7105-3a41-4e42-9a83-afcac3aebded · outbound

This paper cites The cityscapes dataset for semantic urban scene understanding,.

Domain Adaptation for Big Data in Agricultural Image Analysis: A Comprehensive Review The cityscapes dataset for semantic urban scene understanding,

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Observation 3ea63515-bc0b-4d36-938f-6c1e56cea4bc · outbound

This paper cites Semi-self-supervised domain adaptation: Developing deep learning models with limited annotated data for wheat head segmentation,.

Domain Adaptation for Big Data in Agricultural Image Analysis: A Comprehensive Review Semi-self-supervised domain adaptation: Developing deep learning models with limited annotated data for wheat head segmentation,

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Observation 52893d3e-95a3-4b44-b507-0478f499421c · outbound

This paper cites Unsuper- vised intra-domain adaptation for semantic segmentation through self- supervision,.

Domain Adaptation for Big Data in Agricultural Image Analysis: A Comprehensive Review Unsuper- vised intra-domain adaptation for semantic segmentation through self- supervision,

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Observation a38ce429-e66b-4669-a964-5fca34176190 · outbound

This paper cites Self- supervised learning: A succinct review,.

Domain Adaptation for Big Data in Agricultural Image Analysis: A Comprehensive Review Self- supervised learning: A succinct review,

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Observation 7ef3a2fa-f657-410f-8870-d4c882a6c09b · outbound

This paper cites Detection of fusarium damaged kernels in wheat using deep semi- supervised learning on a novel wheatseedbelt dataset,.

Domain Adaptation for Big Data in Agricultural Image Analysis: A Comprehensive Review Detection of fusarium damaged kernels in wheat using deep semi- supervised learning on a novel wheatseedbelt dataset,

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Observation 1b6c06c8-e069-4557-b1d8-a37a82d92890 · outbound

This paper cites A semi-self-supervised learning approach for wheat head detection using extremely small number of labeled samples,.

Domain Adaptation for Big Data in Agricultural Image Analysis: A Comprehensive Review A semi-self-supervised learning approach for wheat head detection using extremely small number of labeled samples,

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Observation f868c972-68aa-4cea-b66a-d5551d2c7989 · outbound

This paper cites Semi-self-supervised learning for se- mantic segmentation in images with dense patterns,.

Domain Adaptation for Big Data in Agricultural Image Analysis: A Comprehensive Review Semi-self-supervised learning for se- mantic segmentation in images with dense patterns,

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Observation 16b4dcf8-d08f-435d-8057-2259a858dcac · outbound

This paper cites Tomato detection method using domain adaptive learning for dense planting environments.

Domain Adaptation for Big Data in Agricultural Image Analysis: A Comprehensive Review Tomato detection method using domain adaptive learning for dense planting environments

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Observation c70b6e7a-8c82-44ea-b334-ccb827e6afd0 · outbound

This paper cites Classifier-constrained deep adversarial domain adaptation for cross-domain semisupervised classification in remote sensing images,.

Domain Adaptation for Big Data in Agricultural Image Analysis: A Comprehensive Review Classifier-constrained deep adversarial domain adaptation for cross-domain semisupervised classification in remote sensing images,

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Observation 60f27f2b-2593-46a5-9dff-42776db11a79 · outbound

This paper cites an unresolved cited work.

Domain Adaptation for Big Data in Agricultural Image Analysis: A Comprehensive Review Unresolved cited work

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Observation bab079f3-cc69-4319-ba96-b024af6c34d2 · outbound

This paper cites Subtype-aware dynamic unsupervised domain adaptation,.

Domain Adaptation for Big Data in Agricultural Image Analysis: A Comprehensive Review Subtype-aware dynamic unsupervised domain adaptation,

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Observation d5231159-7bb0-46dd-9ccb-865aae55bd84 · outbound

This paper cites Transfer adaptation learning for target recognition in sar images: A survey,.

Domain Adaptation for Big Data in Agricultural Image Analysis: A Comprehensive Review Transfer adaptation learning for target recognition in sar images: A survey,

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Observation 268b066f-37df-4551-9b90-d84bd606c886 · outbound

This paper cites Generative adversarial nets,.

Domain Adaptation for Big Data in Agricultural Image Analysis: A Comprehensive Review Generative adversarial nets,

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Observation 675f86d4-efbe-403b-8922-b0683ba96b6c · outbound

This paper cites Unsupervised domain adaptation by backpropagation,.

Domain Adaptation for Big Data in Agricultural Image Analysis: A Comprehensive Review Unsupervised domain adaptation by backpropagation,

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verified fuzzy
raw_fallback, observed 2026-08-07T10:17:33.164609Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T10:17:31.991378Z digest=sha256:e3927fa55fa9f5d4d50cd33a09a87ffffd62f3bc8da8c97335003cd42e22b652

Observation 10993d5e-ac6f-43b3-a397-c746021718f7 · outbound

This paper cites The mnist database of handwritten digits,.

Domain Adaptation for Big Data in Agricultural Image Analysis: A Comprehensive Review The mnist database of handwritten digits,

Reference 80

Resolution
unresolved
no resolver link, observed 2026-08-07T10:17:31.994488Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:17:31.994488Z digest=sha256:1a7d4ca29d8246ece7fc134d48089e782a313e1dbe1f9c4b39de9b717b7fe581

Observation cc777d85-b1fe-4f4b-9a17-4e7520167ba2 · outbound

This paper cites LSUN: Construction of a Large-scale Image Dataset using Deep Learning with Humans in the Loop.

Domain Adaptation for Big Data in Agricultural Image Analysis: A Comprehensive Review LSUN: Construction of a Large-scale Image Dataset using Deep Learning with Humans in the Loop

Reference 81

Resolution
unresolved
no resolver link, observed 2026-08-07T10:17:31.997616Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:17:31.997616Z digest=sha256:3c37d0f8baed8ca23344d7ef3727a173902343706b7536fe29a428e0be4f756c

Observation a3153dd7-f8a6-4808-84dd-23c233adce17 · outbound

This paper cites Learning multiple layers of features from tiny images,.

Domain Adaptation for Big Data in Agricultural Image Analysis: A Comprehensive Review Learning multiple layers of features from tiny images,

Reference 82

Resolution
unresolved
no resolver link, observed 2026-08-07T10:17:32.001163Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:17:32.001163Z digest=sha256:b4498841f85ebc2779d83ad0e6f0bfe184ac4660c489668456e67cb6159116ef

Observation 555dfd00-8dbd-4010-8dde-819d554214c7 · outbound

This paper cites Imagenet large scale visual recognition challenge,.

Domain Adaptation for Big Data in Agricultural Image Analysis: A Comprehensive Review Imagenet large scale visual recognition challenge,

Reference 83

Resolution
unresolved
no resolver link, observed 2026-08-07T10:17:32.004632Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:17:32.004632Z digest=sha256:ba0fe5abe931dc61ac07920612ad434090005e588f08a42f40f31c92f14e55b0

Observation 496cf42d-da36-4b5b-8d34-d06933c1501b · outbound

This paper cites Road segmentation for remote sensing images using adversarial spatial pyramid networks,.

Domain Adaptation for Big Data in Agricultural Image Analysis: A Comprehensive Review Road segmentation for remote sensing images using adversarial spatial pyramid networks,

Reference 84

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:17:33.133987Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T10:17:32.011072Z digest=sha256:b83fd9df66b1fe62a934241d5080d806ec3e71da1a9162dfd17c831b9884651f

Observation 69e0ef17-f169-4ffe-8e5f-8169116d7a2a · outbound

This paper cites Unsupervised domain adaptation with adversarial self-training for crop classification using remote sensing images,.

Domain Adaptation for Big Data in Agricultural Image Analysis: A Comprehensive Review Unsupervised domain adaptation with adversarial self-training for crop classification using remote sensing images,

Reference 85

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:17:33.123153Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T10:17:32.015005Z digest=sha256:8d1c4027440c53cbb6661f9968ea91fe38b64d766af6482d3c703ce83251fd20

Observation e288870e-bdc2-449a-abab-30f6c79ee5e5 · outbound

This paper cites Unsupervised adversarial domain adaptation for agricultural land extraction of remote sensing images,.

Domain Adaptation for Big Data in Agricultural Image Analysis: A Comprehensive Review Unsupervised adversarial domain adaptation for agricultural land extraction of remote sensing images,

Reference 86

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:17:33.111953Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T10:17:32.018661Z digest=sha256:e6c5a89ac892933dc0dc69f9f1a702b952d0131308a63464b9953087b25df7d8

Observation c9bde301-47ce-42e0-b31c-863ae4418fb4 · outbound

This paper cites Generative adversarial network- based full-space domain adaptation for land cover classification from multiple-source remote sensing images,.

Domain Adaptation for Big Data in Agricultural Image Analysis: A Comprehensive Review Generative adversarial network- based full-space domain adaptation for land cover classification from multiple-source remote sensing images,

Reference 87

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:17:33.100128Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T10:17:32.022310Z digest=sha256:918824cb1d7e6402d4c0df272348c0a7e74c9f76dd40854572ab8eb90f9e9ec5

Observation e0619484-fd66-4590-a7ef-a031ec4c7fe2 · outbound

This paper cites Standardgan: Multi-source domain adaptation for semantic segmentation of very high resolution satellite images by data standardization,.

Domain Adaptation for Big Data in Agricultural Image Analysis: A Comprehensive Review Standardgan: Multi-source domain adaptation for semantic segmentation of very high resolution satellite images by data standardization,

Reference 88

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:17:33.087952Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T10:17:32.025223Z digest=sha256:d57fa5d11bd0a4f392dd5e719d7899ec2d2adf32fb4c51d937c01800a32650b0

Observation ac7a1708-68ff-4ec3-aa0d-5a3452a6522a · outbound

This paper cites Appearance based deep domain adaptation for the classification of aerial images,.

Domain Adaptation for Big Data in Agricultural Image Analysis: A Comprehensive Review Appearance based deep domain adaptation for the classification of aerial images,

Reference 89

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:17:33.076342Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T10:17:32.028702Z digest=sha256:7aaa28dfa1e009213efd4b0591dc69a98b7b7e2223e20329348436b8d6544029

Observation 06c02431-d5cf-4d92-8760-4763e41fdaf3 · outbound

This paper cites A novel unsupervised adversarial domain adaptation network for remotely sensed scene classification,.

Domain Adaptation for Big Data in Agricultural Image Analysis: A Comprehensive Review A novel unsupervised adversarial domain adaptation network for remotely sensed scene classification,

Reference 90

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:17:33.065100Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T10:17:32.031908Z digest=sha256:e25296373723b8608697b3b58cdf128abd3ac9d7d97e5bf002bcf17d5986518a

Observation b65961ff-5af9-4d6e-ba36-162d7d758f9f · outbound

This paper cites Triplet adversarial domain adaptation for pixel-level classification of vhr remote sensing images,.

Domain Adaptation for Big Data in Agricultural Image Analysis: A Comprehensive Review Triplet adversarial domain adaptation for pixel-level classification of vhr remote sensing images,

Reference 91

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:17:33.053611Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T10:17:32.035673Z digest=sha256:2711edead50d165e7a10565c39618b8ac77aa8d9d59140d4f0332556c0eeafb8

Observation d8ec4f1f-1383-4824-b0dd-d974c89e1d7d · outbound

This paper cites Cross-scene wetland mapping on hyperspectral remote sensing im- ages using adversarial domain adaptation network,.

Domain Adaptation for Big Data in Agricultural Image Analysis: A Comprehensive Review Cross-scene wetland mapping on hyperspectral remote sensing im- ages using adversarial domain adaptation network,

Reference 92

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:17:33.042250Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T10:17:32.040114Z digest=sha256:e25f7a37a59ab3bd06354cdc6c518f8011b9f5d4d0b1e377a1deee68dc4c5572

Observation ed0a656f-46f1-4433-b272-77b918aaa854 · outbound

This paper cites Domain adversarial neural networks for large-scale land cover classification,.

Domain Adaptation for Big Data in Agricultural Image Analysis: A Comprehensive Review Domain adversarial neural networks for large-scale land cover classification,

Reference 93

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:17:33.027509Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T10:17:32.043687Z digest=sha256:321a0e43c096f6a9623710a6d9cd527a59e3bb4e67d192567eacb4bd8ba084fa

Observation 2a996b2d-e093-4af4-8da1-6605f0bc2893 · outbound

This paper cites Adversarial learning for knowledge adaptation from multiple remote sensing sources,.

Domain Adaptation for Big Data in Agricultural Image Analysis: A Comprehensive Review Adversarial learning for knowledge adaptation from multiple remote sensing sources,

Reference 94

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:17:33.015770Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T10:17:32.047566Z digest=sha256:4593249e541505cc1ee8c8e50e92ee6cc49b87a3b7058e9c70a812f3d9914eb5

Observation 28d4ec6a-0034-4e04-963a-d02270326637 · outbound

This paper cites Domain adaptation using representation learning for the classification of remote sensing images,.

Domain Adaptation for Big Data in Agricultural Image Analysis: A Comprehensive Review Domain adaptation using representation learning for the classification of remote sensing images,

Reference 95

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:17:33.003951Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T10:17:32.050982Z digest=sha256:113eb5903c9275e739cd2625ea6d4b9b8aeaf6ef46d2994c5ac88ab3c6849afb

Observation 7cf015f2-4779-4d83-bdc0-b64ea5de4314 · outbound

This paper cites Domain- adversarial training of self-attention-based networks for land cover classification using multi-temporal sentinel-2 satellite imagery,.

Domain Adaptation for Big Data in Agricultural Image Analysis: A Comprehensive Review Domain- adversarial training of self-attention-based networks for land cover classification using multi-temporal sentinel-2 satellite imagery,

Reference 96

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:17:32.992780Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T10:17:32.054261Z digest=sha256:8ec7bbc48aa4b9d3c48c294a284ed4a8b7b9ddf2731d1df53e62ec9428ebccea

Observation 6a8a1b98-e035-4c92-a7a6-8d3b0e96bc3b · outbound

This paper cites Cross-sensor adversarial domain adaptation of landsat-8 and proba-v images for cloud detection,.

Domain Adaptation for Big Data in Agricultural Image Analysis: A Comprehensive Review Cross-sensor adversarial domain adaptation of landsat-8 and proba-v images for cloud detection,

Reference 97

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:17:32.981793Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T10:17:32.057488Z digest=sha256:27478a407c1a982ee75eae39bba92230eb618b66b2da2c830425dcf963591a13

Observation bf4d8c1f-0812-4e71-ac02-e6faf5a6300c · outbound

This paper cites Deep neural network-based domain adaptation for classification of remote sensing images,.

Domain Adaptation for Big Data in Agricultural Image Analysis: A Comprehensive Review Deep neural network-based domain adaptation for classification of remote sensing images,

Reference 98

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:17:32.971210Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T10:17:32.060537Z digest=sha256:988c1a4caced95178cf46cf6a0c83e9ee6b73e52c3942e7e51a4323437a6c27d

Observation c4ba89cc-24b0-422c-ab79-2f7cbae717c0 · outbound

This paper cites Stagewise unsupervised domain adaptation with adversarial self-training for road segmentation of remote-sensing images,.

Domain Adaptation for Big Data in Agricultural Image Analysis: A Comprehensive Review Stagewise unsupervised domain adaptation with adversarial self-training for road segmentation of remote-sensing images,

Reference 99

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:17:32.959735Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T10:17:32.063874Z digest=sha256:4e0526db1421a2b9ac39c0a34db92d9d45ca85fc5b6daa35cde3d55b40af4f5b

Observation 690b7d13-115e-4b76-9f3a-40d3cf6fd344 · outbound

This paper cites Unsupervised domain- invariant feature learning for cloud detection of remote sensing im- ages,.

Domain Adaptation for Big Data in Agricultural Image Analysis: A Comprehensive Review Unsupervised domain- invariant feature learning for cloud detection of remote sensing im- ages,

Reference 100

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:17:32.949629Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T10:17:32.067516Z digest=sha256:59d320081f93cdceaf39f81b3ab6074b56d3e7676d35f568046f16b9b3bedc6e

Observation de54de4c-513d-40f3-a90e-33736b2bb25b · outbound

This paper cites FCNs in the Wild: Pixel-level Adversarial and Constraint-based Adaptation.

Domain Adaptation for Big Data in Agricultural Image Analysis: A Comprehensive Review FCNs in the Wild: Pixel-level Adversarial and Constraint-based Adaptation

Reference 101

Resolution
unresolved
no resolver link, observed 2026-08-07T10:17:32.071025Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:17:32.071025Z digest=sha256:f70626228cda593118917ae686f82fe26457a6c82ddc487891e2721c04be139f

Observation 2799f57a-b099-4aaf-99fb-7ca2e5f0dd91 · outbound

This paper cites Learning to adapt structured output space for semantic segmentation,.

Domain Adaptation for Big Data in Agricultural Image Analysis: A Comprehensive Review Learning to adapt structured output space for semantic segmentation,

Reference 102

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:17:32.938865Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T10:17:32.074467Z digest=sha256:f9cbca95e669bebbad6eb7fe20b32440f5a491fae24583b5d3b6102ae88a7544

Pith citing papers

Observation a6d58cad-ddbf-4427-9fd2-22f486b7dac3 · inbound

Are vision-language models ready to zero-shot replace supervised classification models in agriculture? cites this paper.

Are vision-language models ready to zero-shot replace supervised classification models in agriculture? Domain Adaptation for Big Data in Agricultural Image Analysis: A Comprehensive Review

Reference 38

Resolution
verified exact
arxiv_id, observed 2026-05-16T21:18:32.276022Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-05-16T21:15:20.717705Z digest=sha256:cff89a3788f13c121644b7526b71c36ba0ab17e880d6ef4411f199b5d5f8017d

Observation 3a31c465-84a5-4b99-8a9a-9d6a288b2238 · inbound

Attention mechanisms and transfer learning for robust peach leaf damage classification under domain shift cites this paper.

Attention mechanisms and transfer learning for robust peach leaf damage classification under domain shift Domain Adaptation for Big Data in Agricultural Image Analysis: A Comprehensive Review

Reference 113

Resolution
verified exact
arxiv_id, observed 2026-07-01T22:16:16.144333Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-06-28T15:36:55.675366Z digest=sha256:dec814a7731adcfaa29992d615ed569b9a940d83a3a2a84e1b0856a6974ae793