A digital twin for arable and dairy farming

F.K. van Evert; H.N.C. Berghuijs; I.E. Hoving; A.J.W. de Wit; T.H. Been

doi:10.3920/978-90-8686-916-9_110

A digital twin for arable and dairy farming

F.K. van Evert^*, H.N.C. Berghuijs, I.E. Hoving, A.J.W. de Wit, T.H. Been

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference paper › Academic › peer-review

Abstract

The Digital Future Farm (DFF) is a modeling framework that allows models of arable and dairy farms to be assembled from sub-models such as crop, soil and livestock models. The DFF is also a digital twin (DT): a model of a physical object with emphasis on (1) the connection between the real-world object and its virtual counterpart and (2) the use of real-time data from sensors to keep the model synchronized. In this study, an Ensemble Kalman Filter was used to synchronize a grass model and a potato model in the DFF with observations made in experiments. Results indicate that special care must be taken to prevent divergence of the Ensemble Kalman Filter when it is used with a crop growth model.

Original language	English
Title of host publication	Precision Agriculture '21
Editors	J.V. Stafford
Publisher	Wageningen Academic Publishers
Chapter	110
Pages	919-925
Volume	1
ISBN (Electronic)	9789086869169
ISBN (Print)	9789086863631
DOIs	https://doi.org/10.3920/978-90-8686-916-9_110
Publication status	Published - 25 Jun 2021
Event	European Conference on Precision Agriculture 2021, Budapest, Hungary, 19-22 July 2021 - Budapest, Hungary Duration: 19 Jul 2021 → 22 Jul 2021

Conference

Conference	European Conference on Precision Agriculture 2021, Budapest, Hungary, 19-22 July 2021
Country/Territory	Hungary
City	Budapest
Period	19/07/21 → 22/07/21

Access to Document

10.3920/978-90-8686-916-9_110

https://edepot.wur.nl/561826Licence: Taverne

Digital Future Farm (DFF) (KB-41-002-005)
Kempenaar, C.
1/01/19 → 31/12/22
Project: LNV project

Cite this

@inproceedings{c00efceb727941ba86b9f5209ab897b9,

title = "A digital twin for arable and dairy farming",

abstract = "The Digital Future Farm (DFF) is a modeling framework that allows models of arable and dairy farms to be assembled from sub-models such as crop, soil and livestock models. The DFF is also a digital twin (DT): a model of a physical object with emphasis on (1) the connection between the real-world object and its virtual counterpart and (2) the use of real-time data from sensors to keep the model synchronized. In this study, an Ensemble Kalman Filter was used to synchronize a grass model and a potato model in the DFF with observations made in experiments. Results indicate that special care must be taken to prevent divergence of the Ensemble Kalman Filter when it is used with a crop growth model. ",

author = "{van Evert}, F.K. and H.N.C. Berghuijs and I.E. Hoving and {de Wit}, A.J.W. and T.H. Been",

year = "2021",

month = jun,

day = "25",

doi = "10.3920/978-90-8686-916-9_110",

language = "English",

isbn = "9789086863631",

volume = "1",

pages = "919--925",

editor = "J.V. Stafford",

booktitle = "Precision Agriculture '21",

publisher = "Wageningen Academic Publishers",

address = "Netherlands",

note = "European Conference on Precision Agriculture 2021, Budapest, Hungary, 19-22 July 2021 ; Conference date: 19-07-2021 Through 22-07-2021",

}

van Evert, FK , Berghuijs, HNC , Hoving, IE , de Wit, AJW & Been, TH 2021, A digital twin for arable and dairy farming. in JV Stafford (ed.), Precision Agriculture '21. vol. 1, Wageningen Academic Publishers, pp. 919-925, European Conference on Precision Agriculture 2021, Budapest, Hungary, 19-22 July 2021, Budapest, Hungary, 19/07/21. https://doi.org/10.3920/978-90-8686-916-9_110

TY - GEN

T1 - A digital twin for arable and dairy farming

AU - van Evert, F.K.

AU - Berghuijs, H.N.C.

AU - Hoving, I.E.

AU - de Wit, A.J.W.

AU - Been, T.H.

PY - 2021/6/25

Y1 - 2021/6/25

N2 - The Digital Future Farm (DFF) is a modeling framework that allows models of arable and dairy farms to be assembled from sub-models such as crop, soil and livestock models. The DFF is also a digital twin (DT): a model of a physical object with emphasis on (1) the connection between the real-world object and its virtual counterpart and (2) the use of real-time data from sensors to keep the model synchronized. In this study, an Ensemble Kalman Filter was used to synchronize a grass model and a potato model in the DFF with observations made in experiments. Results indicate that special care must be taken to prevent divergence of the Ensemble Kalman Filter when it is used with a crop growth model.

AB - The Digital Future Farm (DFF) is a modeling framework that allows models of arable and dairy farms to be assembled from sub-models such as crop, soil and livestock models. The DFF is also a digital twin (DT): a model of a physical object with emphasis on (1) the connection between the real-world object and its virtual counterpart and (2) the use of real-time data from sensors to keep the model synchronized. In this study, an Ensemble Kalman Filter was used to synchronize a grass model and a potato model in the DFF with observations made in experiments. Results indicate that special care must be taken to prevent divergence of the Ensemble Kalman Filter when it is used with a crop growth model.

U2 - 10.3920/978-90-8686-916-9_110

DO - 10.3920/978-90-8686-916-9_110

M3 - Conference paper

SN - 9789086863631

VL - 1

SP - 919

EP - 925

BT - Precision Agriculture '21

A2 - Stafford, J.V.

PB - Wageningen Academic Publishers

T2 - European Conference on Precision Agriculture 2021, Budapest, Hungary, 19-22 July 2021

Y2 - 19 July 2021 through 22 July 2021

ER -

A digital twin for arable and dairy farming

Abstract

Conference

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Projects

Digital Future Farm (DFF) (KB-41-002-005)

Cite this