Farm-Level, In-Season Crop Identification for India | Paper Citation Record

Observation 8bdca8f5-3e87-41ba-84c4-08349eeb6272 · outbound

This paper cites Indian agriculture towards 2030, 1–7 (2022).

Farm-Level, In-Season Crop Identification for India Indian agriculture towards 2030, 1–7 (2022)

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:33:10.215286Z

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Observation 4d7f0b54-b79b-4282-a8d4-a23a6fadd77f · outbound

This paper cites Food and Agriculture Organization (2020).

Farm-Level, In-Season Crop Identification for India Food and Agriculture Organization (2020)

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:33:10.207706Z

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Observation 9655901c-770c-4db6-a3e2-a81fc3ee7dc6 · outbound

This paper cites Computers and Electronics in Agriculture 210, 107927 (2023).

Farm-Level, In-Season Crop Identification for India Computers and Electronics in Agriculture 210, 107927 (2023)

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:33:10.200215Z

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Observation 16402ed4-535b-4e92-bc1f-46986d595c76 · outbound

This paper cites ISPRS Journal of Photogrammetry and Remote Sensing 194, 250–266 (2022).

Farm-Level, In-Season Crop Identification for India ISPRS Journal of Photogrammetry and Remote Sensing 194, 250–266 (2022)

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:33:10.192598Z

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Observation 15d30ab6-e70a-4a39-8f1f-f1166e20231c · outbound

This paper cites In: Proceedings of the AAAI Conference on Artificial Intelligence, vol.

Farm-Level, In-Season Crop Identification for India In: Proceedings of the AAAI Conference on Artificial Intelligence, vol

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:33:10.184877Z

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Observation 15d4f660-c023-4d53-918a-24b87dd5e023 · outbound

This paper cites Remote Sensing 14(12), 2758 (2022).

Farm-Level, In-Season Crop Identification for India Remote Sensing 14(12), 2758 (2022)

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:33:10.177456Z

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Observation 89087d57-c5c9-418b-9249-11e5b566a593 · outbound

This paper cites Agricultural Systems 201, 103462 (2022).

Farm-Level, In-Season Crop Identification for India Agricultural Systems 201, 103462 (2022)

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:33:10.169802Z

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Observation 42a18a5b-9b30-4e61-80fd-fbff8eb42c76 · outbound

This paper cites Remote Sensing 13(7), 1394 (2021).

Farm-Level, In-Season Crop Identification for India Remote Sensing 13(7), 1394 (2021)

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:33:10.162314Z

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Observation da221bc6-825d-4caa-9de0-f0ef737b1271 · outbound

This paper cites ISPRS Journal of Photogrammetry and Remote Sensing 161, 109–123 (2020).

Farm-Level, In-Season Crop Identification for India ISPRS Journal of Photogrammetry and Remote Sensing 161, 109–123 (2020)

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:33:10.154609Z

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Observation bde1b1f3-7132-4965-a770-34a7500b6aa5 · outbound

This paper cites Resilient In-Season Crop Type Classification in Multispectral Satellite Observations using Growth Stage Normalization.

Farm-Level, In-Season Crop Identification for India Resilient In-Season Crop Type Classification in Multispectral Satellite Observations using Growth Stage Normalization

Reference 10

Resolution: metadata mismatch; local_arxiv, observed 2026-08-06T21:33:09.838495Z

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Observation e5943b1f-c65b-4a64-a65c-ca663497e2c3 · outbound

This paper cites Remote Sensing of Environment 274, 112994 (2022).

Farm-Level, In-Season Crop Identification for India Remote Sensing of Environment 274, 112994 (2022)

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:33:10.146355Z

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Observation c5f7f922-711f-4855-b722-1f3bbd0fd432 · outbound

This paper cites Frontiers in Plant Science 14 (2023).

Farm-Level, In-Season Crop Identification for India Frontiers in Plant Science 14 (2023)

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:33:10.138735Z

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Observation 53dfc1af-20b1-4fce-a9cf-99dd357eab51 · outbound

This paper cites Remote Sensing 15(3), 799 (2023).

Farm-Level, In-Season Crop Identification for India Remote Sensing 15(3), 799 (2023)

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:33:10.130885Z

Source-reported events for the cited work

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Observation 9ee03fc4-afbf-4f09-8c68-9bc1c87dd9c7 · outbound

This paper cites Lightweight, Pre-trained Transformers for Remote Sensing Timeseries.

Farm-Level, In-Season Crop Identification for India Lightweight, Pre-trained Transformers for Remote Sensing Timeseries

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-06T21:33:05.515779Z

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Observation 6a64549d-69aa-4289-8e3a-105308729e66 · outbound

This paper cites Agronomy 13(7) (2023) https://doi.org/10.3390/agronomy13071723.

Farm-Level, In-Season Crop Identification for India Agronomy 13(7) (2023) https://doi.org/10.3390/agronomy13071723

Reference 15

Resolution: verified exact; doi, observed 2026-08-06T21:33:09.342787Z

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Observation d66e4ec3-7f62-4c7c-a08c-daa744e29292 · outbound

This paper cites On the Generalizability of Foundation Models for Crop Type Mapping.

Farm-Level, In-Season Crop Identification for India On the Generalizability of Foundation Models for Crop Type Mapping

Reference 16

Resolution: metadata mismatch; local_arxiv, observed 2026-08-06T21:33:09.814590Z

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Observation dd92ef0b-414e-4743-b73e-052edf1d9758 · outbound

This paper cites Remote Sensing of Environment 264, 112603 (2021).

Farm-Level, In-Season Crop Identification for India Remote Sensing of Environment 264, 112603 (2021)

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:33:10.123032Z

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Observation c7b83bb3-5344-45e7-8915-05d3022a9bf5 · outbound

This paper cites Scientific Data 12(1), 664 (2025).

Farm-Level, In-Season Crop Identification for India Scientific Data 12(1), 664 (2025)

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:33:10.115162Z

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Observation 7d10d04a-d299-484c-a8a4-800c04b3bbde · outbound

This paper cites BreizhCrops: A Time Series Dataset for Crop Type Mapping.

Farm-Level, In-Season Crop Identification for India BreizhCrops: A Time Series Dataset for Crop Type Mapping

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-06T21:33:05.971385Z

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Observation d6345188-5a44-4301-9159-4ea68505c086 · outbound

This paper cites Remote sensing of Environment 202, 18–27 (2017).

Farm-Level, In-Season Crop Identification for India Remote sensing of Environment 202, 18–27 (2017)

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:33:10.107295Z

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Observation 19b3206b-1786-4900-9b35-e86d18e22f42 · outbound

This paper cites Remote Sensing of Environment 210, 35–47 (2018) https://doi.org/10.1016/j.rse.2018.02.045.

Farm-Level, In-Season Crop Identification for India Remote Sensing of Environment 210, 35–47 (2018) https://doi.org/10.1016/j.rse.2018.02.045

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-06T21:33:06.142977Z

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Observation 6e560165-971c-4cac-b402-f19762f3ecfa · outbound

This paper cites Remote Sensing 7, 16091–16107 (2015) https://doi.

Farm-Level, In-Season Crop Identification for India Remote Sensing 7, 16091–16107 (2015) https://doi

Reference 22

Resolution: verified exact; doi, observed 2026-08-06T21:33:09.327819Z

Source-reported events for the cited work

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Observation 10f94c75-7ad8-4951-a939-b4d3989c9e8b · outbound

This paper cites Journal of Agricultural Meteorology 72, 1–11 (2016) https://doi.

Farm-Level, In-Season Crop Identification for India Journal of Agricultural Meteorology 72, 1–11 (2016) https://doi

Reference 23

Resolution: verified exact; doi, observed 2026-08-06T21:33:09.318574Z

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Observation 12696cc0-7bd3-48e6-9483-f719d0171e8d · outbound

This paper cites In: IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium, pp.

Farm-Level, In-Season Crop Identification for India In: IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium, pp

Reference 24

Resolution: metadata mismatch; raw_fallback, observed 2026-08-06T21:33:09.793686Z

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Observation b6c7fba7-b584-4c49-b230-9794a083c975 · outbound

This paper cites In: 2012 IEEE International Geoscience and Remote Sensing Symposium, pp.

Farm-Level, In-Season Crop Identification for India In: 2012 IEEE International Geoscience and Remote Sensing Symposium, pp

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:33:10.099729Z

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Observation e995617b-bdb9-4803-ac3e-def18badc59a · outbound

This paper cites Remote sensing of environment 120, 9–24 (2012).

Farm-Level, In-Season Crop Identification for India Remote sensing of environment 120, 9–24 (2012)

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:33:10.091547Z

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Observation 4445fb4e-42d9-4173-8b81-52e5c4f740ea · outbound

This paper cites Remote Sensing of Environment 269, 112831 (2022) https://doi.org/10.1016/j.rse.2021.112831.

Farm-Level, In-Season Crop Identification for India Remote Sensing of Environment 269, 112831 (2022) https://doi.org/10.1016/j.rse.2021.112831

Reference 27

Resolution: metadata mismatch; raw_fallback, observed 2026-08-06T21:33:09.724633Z

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Observation 8ab5bc8e-d89d-43eb-8657-f0bc76b11f67 · outbound

This paper cites International Journal of Remote Sensing 40(17), 6553–6595 (2019) https://doi.org/10.1080/01431161.

Farm-Level, In-Season Crop Identification for India International Journal of Remote Sensing 40(17), 6553–6595 (2019) https://doi.org/10.1080/01431161

Reference 28

Resolution: metadata mismatch; raw_fallback, observed 2026-08-06T21:33:09.646390Z

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Observation e690f6cb-e449-4ae8-9d14-00109238354e · outbound

This paper cites In: Thirty-fifth Conference on Neural Infor- mation Processing Systems Datasets and Benchmarks Track (Round 2) (2021).

Farm-Level, In-Season Crop Identification for India In: Thirty-fifth Conference on Neural Infor- mation Processing Systems Datasets and Benchmarks Track (Round 2) (2021)

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:33:10.083749Z

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Observation bdd82aa4-bbe9-4c73-a30b-a219958a05d7 · outbound

This paper cites : Fields of the world: A machine learning benchmark dataset for global agricultural field boundary segmentation.

Farm-Level, In-Season Crop Identification for India : Fields of the world: A machine learning benchmark dataset for global agricultural field boundary segmentation

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:33:10.075579Z

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Observation 8f4ac137-5817-49e0-a533-2c35594c3ca3 · outbound

This paper cites Geocarto International 26(5), 341–358 (2011) https://doi.org/10.

Farm-Level, In-Season Crop Identification for India Geocarto International 26(5), 341–358 (2011) https://doi.org/10

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-06T21:33:06.970191Z

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Observation db631ad2-7321-4d09-a745-e8f49186ec70 · outbound

This paper cites In: AGU Fall Meeting Abstracts, vol.

Farm-Level, In-Season Crop Identification for India In: AGU Fall Meeting Abstracts, vol

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:33:10.067469Z

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Observation 09f1d410-ca8e-4a21-8ef9-26c29330c46a · outbound

This paper cites In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp.

Farm-Level, In-Season Crop Identification for India In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:33:10.059786Z

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Observation 71199b27-7376-46e3-adb6-ef2ffd99f1b4 · outbound

This paper cites Can SAM recognize crops? Quantifying the zero-shot performance of a semantic segmentation foundation model on generating crop-type maps using satellite imagery for precision agriculture.

Farm-Level, In-Season Crop Identification for India Can SAM recognize crops? Quantifying the zero-shot performance of a semantic segmentation foundation model on generating crop-type maps using satellite imagery for precision agriculture

Reference 34

Resolution: metadata mismatch; local_arxiv, observed 2026-08-06T21:33:09.507743Z

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

Observation d83394b6-9e0d-4835-99f8-9c8310c0c131 · outbound

This paper cites Remote Sensing 14(10), 2404 (2022).

Farm-Level, In-Season Crop Identification for India Remote Sensing 14(10), 2404 (2022)

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:33:10.052210Z

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Observation 62fbccbe-f6bf-498e-a651-bbd7c4ee2349 · outbound

This paper cites International Journal of Remote Sensing 25 (2004) https://doi.org/10.1080/01431160310001619580.

Farm-Level, In-Season Crop Identification for India International Journal of Remote Sensing 25 (2004) https://doi.org/10.1080/01431160310001619580

Reference 36

Resolution: verified exact; doi, observed 2026-08-06T21:33:09.309296Z

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.

Observation fe321594-be80-431e-bd36-eb0fca3570cb · outbound

This paper cites Remote Sensing 16(24) (2024) https://doi.org/10.3390/rs16244620.

Farm-Level, In-Season Crop Identification for India Remote Sensing 16(24) (2024) https://doi.org/10.3390/rs16244620

Reference 37

Resolution: verified exact; doi, observed 2026-08-06T21:33:09.299951Z

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Observation 5f88e4e5-3eba-4123-b17e-343ff07b932c · outbound

This paper cites Remote Sensing 16(1), 127 (2023).

Farm-Level, In-Season Crop Identification for India Remote Sensing 16(1), 127 (2023)

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:33:10.044577Z

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Observation 70ac39de-ad4b-4f62-b495-27d1ee76bb59 · outbound

This paper cites Remote sensing of environment 210, 12–24 (2018).

Farm-Level, In-Season Crop Identification for India Remote sensing of environment 210, 12–24 (2018)

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:33:10.037036Z

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.

Observation f0f3284c-e294-40a7-b03e-8dcdde8719de · outbound

This paper cites IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 14, 474–487 (2021) https://doi.org/10.1109/ JSTARS.2020.3036602.

Farm-Level, In-Season Crop Identification for India IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 14, 474–487 (2021) https://doi.org/10.1109/ JSTARS.2020.3036602

Reference 40

Resolution: malformed identifier; no resolver link, observed 2026-08-06T21:33:08.205859Z

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Observation 05a5f2be-2249-44b7-9fec-a703a130504e · outbound

This paper cites Agricultural Landscape Understanding At Country-Scale.

Farm-Level, In-Season Crop Identification for India Agricultural Landscape Understanding At Country-Scale

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-06T21:33:08.358000Z

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Observation f5abdfb9-9ddb-41b1-a378-b534269e2fbb · outbound

This paper cites http://s2geometry.io/resources/s2cell statistics.html.

Farm-Level, In-Season Crop Identification for India http://s2geometry.io/resources/s2cell statistics.html

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:33:10.029043Z

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Observation 447c3893-e12e-459e-ac50-96696191b129 · outbound

This paper cites Attention Is All You Need.

Farm-Level, In-Season Crop Identification for India Attention Is All You Need

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-06T21:33:08.805542Z

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Observation c82bf6ec-04fd-46cc-9a48-409e85d53842 · outbound

This paper cites Multimodal Learning with Transformers: A Survey.

Farm-Level, In-Season Crop Identification for India Multimodal Learning with Transformers: A Survey

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-06T21:33:08.866234Z

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Observation cbb88696-6075-4821-9a0b-e38867b93e16 · outbound

This paper cites Spatial Broadcast Decoder: A Simple Architecture for Learning Disentangled Representations in VAEs.

Farm-Level, In-Season Crop Identification for India Spatial Broadcast Decoder: A Simple Architecture for Learning Disentangled Representations in VAEs

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-06T21:33:08.948531Z

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Observation 4e1a0e42-380f-4902-8a04-3a77196cb8cb · outbound

This paper cites Ti-MAE: Self-Supervised Masked Time Series Autoencoders.

Farm-Level, In-Season Crop Identification for India Ti-MAE: Self-Supervised Masked Time Series Autoencoders

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-06T21:33:09.011540Z

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Observation d13188ee-e1b4-4a59-ba26-9201a6bd36e7 · outbound

This paper cites Masked Autoencoders Are Scalable Vision Learners.

Farm-Level, In-Season Crop Identification for India Masked Autoencoders Are Scalable Vision Learners

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-06T21:33:09.091505Z

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Observation a0b41a20-246b-4195-8c34-12a59722dac3 · outbound

This paper cites Journal of Applied Remote Sensing 15, 024513–024513 (2021).

Farm-Level, In-Season Crop Identification for India Journal of Applied Remote Sensing 15, 024513–024513 (2021)

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:33:10.020647Z

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

Observation c3faa499-f195-426d-a251-1e8313bf1465 · outbound

This paper cites https://upag.gov.in/.

Farm-Level, In-Season Crop Identification for India https://upag.gov.in/

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:33:10.012401Z

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.

Observation b9ce1043-cb43-46e6-a402-55f8d353a1cd · outbound

This paper cites Agronomy Journal 115(3), 1214–1236 (2023).

Farm-Level, In-Season Crop Identification for India Agronomy Journal 115(3), 1214–1236 (2023)

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:33:10.003474Z

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

Observation 00902d97-74a5-42ab-89eb-72399e2b8b4b · outbound

This paper cites Adam: A Method for Stochastic Optimization.

Farm-Level, In-Season Crop Identification for India Adam: A Method for Stochastic Optimization

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-06T21:33:09.220357Z

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Observation 84da3203-0d62-4321-915c-2fff56133a7e · outbound

This paper cites Focal Loss for Dense Object Detection.

Farm-Level, In-Season Crop Identification for India Focal Loss for Dense Object Detection

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-06T21:33:09.223098Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2272d69d-a01e-492a-92fb-a1ab5062321c · outbound

This paper cites an unresolved cited work.

Farm-Level, In-Season Crop Identification for India Unresolved cited work

Reference 53

Resolution: unresolved; raw_fallback, observed 2026-08-06T21:33:09.994271Z

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.

Observation 8a347437-7804-4d8b-8969-89a9acbfe1f7 · outbound

This paper cites an unresolved cited work.

Farm-Level, In-Season Crop Identification for India Unresolved cited work

Reference 54

Resolution: unresolved; raw_fallback, observed 2026-08-06T21:33:09.985772Z

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.

Observation 0a5e00e4-0954-4222-a5e1-537c9f4d41eb · outbound

This paper cites an unresolved cited work.

Farm-Level, In-Season Crop Identification for India Unresolved cited work

Reference 55

Resolution: unresolved; raw_fallback, observed 2026-08-06T21:33:09.977448Z

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.

Observation 19ca522b-01d3-4225-b47d-6a49b1904d5a · outbound

This paper cites A.2 Crop Label Distribution Distribution of the labels is visualized in Fig.

Farm-Level, In-Season Crop Identification for India A.2 Crop Label Distribution Distribution of the labels is visualized in Fig

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:33:09.970015Z

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.

Observation cdb2d41b-14eb-4105-ad97-096078480de8 · outbound

This paper cites We take the median per band across all locations in the field, similar to Sec.

Farm-Level, In-Season Crop Identification for India We take the median per band across all locations in the field, similar to Sec

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:33:09.961507Z

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.

Observation 077a3a57-7ca2-4a19-8bb1-afb66bf8b8ec · outbound

This paper cites This is again a time- series.

Farm-Level, In-Season Crop Identification for India This is again a time- series

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:33:09.952685Z

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.

Observation 86b17097-8fba-4afd-b7b0-7c828b318695 · outbound

This paper cites We drop all NDVI values where the cs cdf band from CloudScore+ is < 0.6, as suggested in the CloudScore+ manual.

Farm-Level, In-Season Crop Identification for India We drop all NDVI values where the cs cdf band from CloudScore+ is < 0.6, as suggested in the CloudScore+ manual

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:33:09.943783Z

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.

Observation 8dfcbe35-57d2-4621-877f-22a9204aa1aa · outbound

This paper cites an unresolved cited work.

Farm-Level, In-Season Crop Identification for India Unresolved cited work

Reference 60

Resolution: unresolved; raw_fallback, observed 2026-08-06T21:33:09.933621Z

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.

Observation 1e9a55ad-0a58-46c8-a58f-aa073d8fc307 · outbound

This paper cites an unresolved cited work.

Farm-Level, In-Season Crop Identification for India Unresolved cited work

Reference 61

Resolution: unresolved; raw_fallback, observed 2026-08-06T21:33:09.924347Z

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.

Observation 051450c1-1381-42de-8639-3bc6ac5b6e82 · outbound

This paper cites an unresolved cited work.

Farm-Level, In-Season Crop Identification for India Unresolved cited work

Reference 62

Resolution: unresolved; raw_fallback, observed 2026-08-06T21:33:09.914195Z

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.

Observation 8fb9057d-d175-42e3-ac0f-4df1e45de54b · outbound

This paper cites broadcasted.

Farm-Level, In-Season Crop Identification for India broadcasted

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:33:09.904733Z

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.

Observation e43cdda5-529b-4b2d-9a8c-d5ca1599be5c · outbound

This paper cites an unresolved cited work.

Farm-Level, In-Season Crop Identification for India Unresolved cited work

Reference 64

Resolution: unresolved; raw_fallback, observed 2026-08-06T21:33:09.895414Z

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.

Observation 60f39640-bfe2-420a-bf76-631956e34b3e · outbound

This paper cites We use an ensemble of the three models evaluated in the 4.

Farm-Level, In-Season Crop Identification for India We use an ensemble of the three models evaluated in the 4

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:33:09.885438Z

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.

Observation 15794a68-1c62-46e3-a05b-b3443ad3e366 · outbound

This paper cites When the pipeline is run for date t, the models are given access to satellite signals from before date t only.

Farm-Level, In-Season Crop Identification for India When the pipeline is run for date t, the models are given access to satellite signals from before date t only

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:33:09.876226Z

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.

Observation 4a6472c1-bcc8-4266-a050-7ad9c210586c · outbound

This paper cites Each prediction contains the season estimate.

Farm-Level, In-Season Crop Identification for India Each prediction contains the season estimate

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:33:09.867401Z

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.

Observation a88245d1-e78a-4b00-b31a-3f732f5ccf09 · outbound

This paper cites an unresolved cited work.

Farm-Level, In-Season Crop Identification for India Unresolved cited work

Reference 68

Resolution: unresolved; raw_fallback, observed 2026-08-06T21:33:09.857263Z

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.

Observation 6060a173-d623-49ce-aebf-6f8967e5bfa5 · outbound

This paper cites NaN” values for precision indicate that no predictions were made. “NaN.

Farm-Level, In-Season Crop Identification for India NaN” values for precision indicate that no predictions were made. “NaN

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:33:09.848274Z

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.

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