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Paper Citation Record · LEDGER

A Survey on Data-Driven Models for Soil Moisture Regression and Classification

As of 22 August 2026, this Paper Citation Record lists 61 of 61 outbound references and 0 inbound Pith citation observations for arXiv:2606.18316.

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

pith.paper-citation-record.v1
2606.18316 v1

Coverage vector

measured 61 of 61 reference resolution

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measured 61 of 61 standing notices

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measured 0 of 0 inbound itemization

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Reference resolution

61 of 61 outbound references displayed

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Outbound references

Observation f8699afd-5cbd-48c5-8566-b695520e6c81 · outbound

This paper cites An Introductory Study on Time Series Modeling and Forecasting.

A Survey on Data-Driven Models for Soil Moisture Regression and Classification An Introductory Study on Time Series Modeling and Forecasting

Reference 1

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Observation 0353e32c-4c33-457a-88db-0d131802101e · outbound

This paper cites Frontiers in Soil Science5, 1612908 (2025).

A Survey on Data-Driven Models for Soil Moisture Regression and Classification Frontiers in Soil Science5, 1612908 (2025)

Reference 2

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This paper cites Computer Communications151, 495–517 (2020).

A Survey on Data-Driven Models for Soil Moisture Regression and Classification Computer Communications151, 495–517 (2020)

Reference 3

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This paper cites In: 2022 IEEE Interna- tional IOT, Electronics and Mechatronics Conference (IEMTRONICS).

A Survey on Data-Driven Models for Soil Moisture Regression and Classification In: 2022 IEEE Interna- tional IOT, Electronics and Mechatronics Conference (IEMTRONICS)

Reference 4

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Observation 6add95ca-2943-45b1-96d8-d4fbc3382268 · outbound

This paper cites John Wiley & Sons (2015).

A Survey on Data-Driven Models for Soil Moisture Regression and Classification John Wiley & Sons (2015)

Reference 5

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This paper cites Machine learning45(1), 5–32 (2001).

A Survey on Data-Driven Models for Soil Moisture Regression and Classification Machine learning45(1), 5–32 (2001)

Reference 6

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This paper cites Journal of hydrology593, 125840 (2021).

A Survey on Data-Driven Models for Soil Moisture Regression and Classification Journal of hydrology593, 125840 (2021)

Reference 7

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Observation f7722500-ad3c-4973-8959-cf54259416d6 · outbound

This paper cites Remote sensing14(21), 5584 (2022).

A Survey on Data-Driven Models for Soil Moisture Regression and Classification Remote sensing14(21), 5584 (2022)

Reference 8

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This paper cites John Wiley & Sons (2015).

A Survey on Data-Driven Models for Soil Moisture Regression and Classification John Wiley & Sons (2015)

Reference 9

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Reference 10

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Observation 5e939571-2724-42d3-bd01-7732be0d3880 · outbound

This paper cites In: Spatial statistics and computational methods, pp.

A Survey on Data-Driven Models for Soil Moisture Regression and Classification In: Spatial statistics and computational methods, pp

Reference 11

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Observation bfe12e70-6fec-451c-ab3d-112f2b61826e · outbound

This paper cites International Journal of Environmental Research and Public Health20(2), 1374 (2023).

A Survey on Data-Driven Models for Soil Moisture Regression and Classification International Journal of Environmental Research and Public Health20(2), 1374 (2023)

Reference 12

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Observation c2c4198e-7f17-4728-bda9-7c41bde1a053 · outbound

This paper cites Frontiers in Forests and Global Change7, 1353011 (2024).

A Survey on Data-Driven Models for Soil Moisture Regression and Classification Frontiers in Forests and Global Change7, 1353011 (2024)

Reference 13

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This paper cites Sensors22(20), 8062 (2022).

A Survey on Data-Driven Models for Soil Moisture Regression and Classification Sensors22(20), 8062 (2022)

Reference 14

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This paper cites arXiv preprint arXiv:2512.16231 (2025).

A Survey on Data-Driven Models for Soil Moisture Regression and Classification arXiv preprint arXiv:2512.16231 (2025)

Reference 15

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Observation a6d67dc1-f07b-46b8-bca5-6eb55cdec9ed · outbound

This paper cites In: Remote Sensing in Precision Agriculture, pp.

A Survey on Data-Driven Models for Soil Moisture Regression and Classification In: Remote Sensing in Precision Agriculture, pp

Reference 16

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Observation ac7b2fcc-0d07-4f91-a188-40d2c6b1218c · outbound

This paper cites In: 3rd International Conference on Applied Mathematics, Modelling, and Intelligent Computing (CAMMIC 2023).

A Survey on Data-Driven Models for Soil Moisture Regression and Classification In: 3rd International Conference on Applied Mathematics, Modelling, and Intelligent Computing (CAMMIC 2023)

Reference 17

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Observation 2b51e318-f50c-4e8f-ab54-2aae1b6e66e1 · outbound

This paper cites Plants12(12), 2309 (2023).

A Survey on Data-Driven Models for Soil Moisture Regression and Classification Plants12(12), 2309 (2023)

Reference 18

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This paper cites In: 2025 IEEE 19th International Conference on Ap- plication of Information and Communication Technologies (AICT).

A Survey on Data-Driven Models for Soil Moisture Regression and Classification In: 2025 IEEE 19th International Conference on Ap- plication of Information and Communication Technologies (AICT)

Reference 19

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Observation a1eb6c6a-a6b9-460c-a56d-35e517c2e8e3 · outbound

This paper cites Hydrology and Earth System Sciences27(5), 1173–1199 (2023).

A Survey on Data-Driven Models for Soil Moisture Regression and Classification Hydrology and Earth System Sciences27(5), 1173–1199 (2023)

Reference 20

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Observation b916b650-022e-42f0-a1db-be36351664f5 · outbound

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A Survey on Data-Driven Models for Soil Moisture Regression and Classification Remote Sensing17(14), 2397 (2025)

Reference 21

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This paper cites Journal of hydrology609, 127749 (2022).

A Survey on Data-Driven Models for Soil Moisture Regression and Classification Journal of hydrology609, 127749 (2022)

Reference 22

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This paper cites Catena256, 109079 (2025).

A Survey on Data-Driven Models for Soil Moisture Regression and Classification Catena256, 109079 (2025)

Reference 23

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A Survey on Data-Driven Models for Soil Moisture Regression and Classification Journal of Geophysics and Engineering p

Reference 24

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This paper cites Water12(11), 3085 (2020).

A Survey on Data-Driven Models for Soil Moisture Regression and Classification Water12(11), 3085 (2020)

Reference 25

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Observation 858ee2a9-394a-4eb3-941d-d32332d02717 · outbound

This paper cites Scientific Data12(1), 1170 (2025).

A Survey on Data-Driven Models for Soil Moisture Regression and Classification Scientific Data12(1), 1170 (2025)

Reference 26

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Observation fd73a3f0-d4dd-422c-8e92-ab05feb10b29 · outbound

This paper cites Soil Science Society of America Journal67(6), 1647–1656 (2003).

A Survey on Data-Driven Models for Soil Moisture Regression and Classification Soil Science Society of America Journal67(6), 1647–1656 (2003)

Reference 27

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A Survey on Data-Driven Models for Soil Moisture Regression and Classification Water Resources Research60(2), e2023WR034861 (2024)

Reference 28

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This paper cites Gepreel, K.: Utilising machine learning classification models for meteorological drought monitoring and analysis.

A Survey on Data-Driven Models for Soil Moisture Regression and Classification Gepreel, K.: Utilising machine learning classification models for meteorological drought monitoring and analysis

Reference 29

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This paper cites Geomechanics and Geoengineering17(3), 712–726 (2022).

A Survey on Data-Driven Models for Soil Moisture Regression and Classification Geomechanics and Geoengineering17(3), 712–726 (2022)

Reference 30

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This paper cites Science of the Total Environment833, 155066 (2022).

A Survey on Data-Driven Models for Soil Moisture Regression and Classification Science of the Total Environment833, 155066 (2022)

Reference 31

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This paper cites Advances in Remote Sensing12(04), 99–122 (2023).

A Survey on Data-Driven Models for Soil Moisture Regression and Classification Advances in Remote Sensing12(04), 99–122 (2023)

Reference 32

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This paper cites Journal of Hydrol- ogy651, 132572 (2025).

A Survey on Data-Driven Models for Soil Moisture Regression and Classification Journal of Hydrol- ogy651, 132572 (2025)

Reference 33

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This paper cites Inter- national Journal of Geosciences1(2), 87 (2010).

A Survey on Data-Driven Models for Soil Moisture Regression and Classification Inter- national Journal of Geosciences1(2), 87 (2010)

Reference 34

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A Survey on Data-Driven Models for Soil Moisture Regression and Classification Journal of Engineering Research 12(1), 75–85 (2024) Title Suppressed Due to Excessive Length 13

Reference 35

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A Survey on Data-Driven Models for Soil Moisture Regression and Classification Ecography40(8), 913–929 (2017)

Reference 36

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This paper cites Natural Hazards and Earth System Sciences22(8), 2725–2749 (2022).

A Survey on Data-Driven Models for Soil Moisture Regression and Classification Natural Hazards and Earth System Sciences22(8), 2725–2749 (2022)

Reference 37

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Observation 3dfb8397-52de-4b27-996b-7e6c876133a6 · outbound

This paper cites Remote Sensing16(12), 2067 (2024).

A Survey on Data-Driven Models for Soil Moisture Regression and Classification Remote Sensing16(12), 2067 (2024)

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Observation 8fdcbdcf-bf36-4e0a-8ec7-6e415e528900 · outbound

This paper cites Scientific Reports 15(1), 43170 (2025).

A Survey on Data-Driven Models for Soil Moisture Regression and Classification Scientific Reports 15(1), 43170 (2025)

Reference 39

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Observation d0b95806-6dbc-466d-b35a-8b7094bf59c1 · outbound

This paper cites Ieee Access11, 13605–13635 (2023).

A Survey on Data-Driven Models for Soil Moisture Regression and Classification Ieee Access11, 13605–13635 (2023)

Reference 40

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Observation 3b353a3b-51ad-4f70-ac5c-8f1e570b8ada · outbound

This paper cites Scientific Reports14(2024).

A Survey on Data-Driven Models for Soil Moisture Regression and Classification Scientific Reports14(2024)

Reference 41

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Observation 5bddd52c-6bb4-4fa1-b0cf-d879faedd468 · outbound

This paper cites Geoderma Regional25, e00396 (2021).

A Survey on Data-Driven Models for Soil Moisture Regression and Classification Geoderma Regional25, e00396 (2021)

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Observation 9e691f6b-1ccd-4725-8a19-da9a3b8d4bb8 · outbound

This paper cites European Review of Agri- cultural Economics51(3), 589–616 (2024).

A Survey on Data-Driven Models for Soil Moisture Regression and Classification European Review of Agri- cultural Economics51(3), 589–616 (2024)

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Observation 103a3a14-3c76-4113-8163-ee5e12a616d0 · outbound

This paper cites IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing14, 9899–9912 (2021).

A Survey on Data-Driven Models for Soil Moisture Regression and Classification IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing14, 9899–9912 (2021)

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Observation 0858b2e8-3798-4c01-9ffa-a59e97f24c58 · outbound

This paper cites Natural Hazards and Earth System Sciences22(4), 1325–1334 (2022).

A Survey on Data-Driven Models for Soil Moisture Regression and Classification Natural Hazards and Earth System Sciences22(4), 1325–1334 (2022)

Reference 45

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Observation 4550b273-6db2-4149-b018-4255f88fb1b8 · outbound

This paper cites Computers and Electronics in Agriculture212, 108118 (2023).

A Survey on Data-Driven Models for Soil Moisture Regression and Classification Computers and Electronics in Agriculture212, 108118 (2023)

Reference 46

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Observation b711f79b-89b6-43b8-8611-c124c84157bc · outbound

This paper cites Remote Sensing13(5), 1039 (2021).

A Survey on Data-Driven Models for Soil Moisture Regression and Classification Remote Sensing13(5), 1039 (2021)

Reference 47

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Observation 266eb0ab-57b3-4e5a-b588-a3b94f2d0ba9 · outbound

This paper cites Computers and Electronics in Agriculture232, 110104 (2025).

A Survey on Data-Driven Models for Soil Moisture Regression and Classification Computers and Electronics in Agriculture232, 110104 (2025)

Reference 48

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Observation 4b03754d-4db7-4813-b589-dda606d3bfa5 · outbound

This paper cites Scientific data8(1), 264 (2021).

A Survey on Data-Driven Models for Soil Moisture Regression and Classification Scientific data8(1), 264 (2021)

Reference 49

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Observation f30870fe-749c-4fff-b5ac-3a37da3cfd23 · outbound

This paper cites Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences379(2197) (2021).

A Survey on Data-Driven Models for Soil Moisture Regression and Classification Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences379(2197) (2021)

Reference 50

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Observation 74b6f920-f533-4926-8ba8-1bdcd76214db · outbound

This paper cites Computers and Electronics in Agriculture225, 109315 (2024).

A Survey on Data-Driven Models for Soil Moisture Regression and Classification Computers and Electronics in Agriculture225, 109315 (2024)

Reference 51

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Observation 79a96dcb-f681-47e2-962a-1df2ddb025c8 · outbound

This paper cites Hydrology and Earth System Sciences 28, 917–943 (2024).

A Survey on Data-Driven Models for Soil Moisture Regression and Classification Hydrology and Earth System Sciences 28, 917–943 (2024)

Reference 52

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Observation 70d063fa-b105-4614-b898-279395f66ee1 · outbound

This paper cites Agricultural Water Management300, 109120 (2024).

A Survey on Data-Driven Models for Soil Moisture Regression and Classification Agricultural Water Management300, 109120 (2024)

Reference 53

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Observation ba5ded8d-5495-4bde-912a-2637d3916a75 · outbound

This paper cites Hydrology and Earth System Sciences Discussions2023, 1–38 (2023).

A Survey on Data-Driven Models for Soil Moisture Regression and Classification Hydrology and Earth System Sciences Discussions2023, 1–38 (2023)

Reference 54

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Observation 399bc262-8a33-4bd7-be8c-d63f7137b03f · outbound

This paper cites Highlights in Science, Engineering and Technology (2023).

A Survey on Data-Driven Models for Soil Moisture Regression and Classification Highlights in Science, Engineering and Technology (2023)

Reference 55

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Observation 12315660-35e0-42aa-a3d0-3e553f61ea63 · outbound

This paper cites IEEE Transactions on Geoscience and Remote Sensing60, 1–17 (2022).

A Survey on Data-Driven Models for Soil Moisture Regression and Classification IEEE Transactions on Geoscience and Remote Sensing60, 1–17 (2022)

Reference 56

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Observation 61ef0d85-299c-4a03-bf67-3e438723b7fa · outbound

This paper cites Science of the Total Environment 782, 146602 (2021).

A Survey on Data-Driven Models for Soil Moisture Regression and Classification Science of the Total Environment 782, 146602 (2021)

Reference 57

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Observation dffea639-edc8-4f10-8a91-08c4e47efe4e · outbound

This paper cites Information Geography p.

A Survey on Data-Driven Models for Soil Moisture Regression and Classification Information Geography p

Reference 58

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Observation ea18bf1f-7f33-4ff7-bf69-bec0a495e3d2 · outbound

This paper cites Smart Agricultural Technology p.

A Survey on Data-Driven Models for Soil Moisture Regression and Classification Smart Agricultural Technology p

Reference 60

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Observation ea71988f-e4c6-4be8-82b0-311665ca8e55 · outbound

This paper cites Hydrology and Earth System Sciences Discussions4(3), 1185–1214 (2007).

A Survey on Data-Driven Models for Soil Moisture Regression and Classification Hydrology and Earth System Sciences Discussions4(3), 1185–1214 (2007)

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source=pdf_text observed=2026-06-27T01:50:14.516345Z digest=sha256:86783dac6b8024f9016d97d26aaef5f68994a62960ab6178a1a4fd505b8bf952

Observation 9000e9c5-2b34-40c6-819e-626481126478 · outbound

This paper cites Springer nature (2021).

A Survey on Data-Driven Models for Soil Moisture Regression and Classification Springer nature (2021)

Reference 62

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