Allard de Wit

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1 Similar Researchers

57 Article
23 Conference paper
14 Report
7 Abstract
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A weakly supervised framework for high-resolution crop yield forecasts
Paudel, D. R., Marcos Gonzalez, D., de Wit, A. J. W., Boogaard, H. L. & Athanasiadis, I. N., 18 May 2022. 10 p.
Research output: Contribution to conference › Conference paper

Open Access
Machine learning for regional crop yield forecasting in Europe
Paudel, D., Boogaard, H., de Wit, A., van der Velde, M., Claverie, M., Nisini, L., Janssen, S., Osinga, S. & Athanasiadis, I. N., 1 Feb 2022, In: Field Crops Research. 276, 108377.
Research output: Contribution to journal › Article › Academic › peer-review

Open Access
3 Citations (Scopus)
Modelling potential potato yields: Accounting for experimental differences in modern cultivars
ten Den, T., van de Wiel, I., de Wit, A., van Evert, F. K., van Ittersum, M. K. & Reidsma, P., Jul 2022, In: European Journal of Agronomy. 137, 126510.
Research output: Contribution to journal › Article › Academic › peer-review
A digital twin for arable and dairy farming
van Evert, F. K., Berghuijs, H. N. C., Hoving, I. E., de Wit, A. J. W. & Been, T. H., 25 Jun 2021, Precision Agriculture '21. Stafford, J. V. (ed.). Wageningen Academic Publishers, Vol. 1. p. 919-925
Research output: Chapter in Book/Report/Conference proceeding › Conference paper › Academic › peer-review
How well do crop modeling groups predict wheat phenology, given calibration data from the target population?
Wallach, D., Palosuo, T., Thorburn, P., Gourdain, E., Asseng, S., Basso, B., Buis, S., Crout, N., Dibari, C., Dumont, B., Ferrise, R., Gaiser, T., Garcia, C., Gayler, S., Ghahramani, A., Hochman, Z., Hoek, S., Hoogenboom, G., Horan, H., Huang, M. & 34 others, Jabloun, M., Jing, Q., Justes, E., Kersebaum, K. C., Klosterhalfen, A., Launay, M., Luo, Q., Maestrini, B., Mielenz, H., Moriondo, M., Nariman Zadeh, H., Olesen, J. E., Poyda, A., Priesack, E., Pullens, J. W. M., Qian, B., Schütze, N., Shelia, V., Souissi, A., Specka, X., Srivastava, A. K., Stella, T., Streck, T., Trombi, G., Wallor, E., Wang, J., Weber, T. K. D., Weihermüller, L., de Wit, A., Wöhling, T., Xiao, L., Zhao, C., Zhu, Y. & Seidel, S. J., Mar 2021, In: European Journal of Agronomy. 124, 126195.
Research output: Contribution to journal › Article › Academic › peer-review
13 Citations (Scopus)

A dataset of spectral and biophysical measurements over Russian wheat fields
de Wit, A. (Creator), Roerink, G. (Creator), Virchenko, O. (Creator), Kleschenko, A. (Creator), Bartalev, S. (Creator), Savin, I. (Creator), Plotnikov, D. (Creator), Defourny, P. (Creator) & d'Andrimont, R. (Creator), Wageningen University & Research, 26 Feb 2018
DOI: 10.7910/DVN/CG0UQB
Dataset
AgMIP's Global Gridded Crop Model Intercomparison (GGCMI) phase 1 output data set: CGMS-WOFOST soy
Hoek, S. (Creator) & de Wit, A. (Creator), Wageningen University and Research, 6 Sep 2018
DOI: 10.5281/zenodo.1408521
Dataset
AgMIP's Global Gridded Crop Model Intercomparison (GGCMI) phase 1 output data set: CGMS-WOFOST sorghum
Hoek, S. (Creator) & de Wit, A. (Creator), Wageningen University and Research, 6 Sep 2018
DOI: 10.5281/zenodo.1408523
Dataset
AgMIP's Global Gridded Crop Model Intercomparison (GGCMI) phase 1 output data set: CGMS-WOFOST rapeseed
Hoek, S. (Creator) & de Wit, A. (Creator), Wageningen University and Research, 6 Sep 2018
DOI: 10.5281/zenodo.1408531
Dataset
AgMIP's Global Gridded Crop Model Intercomparison (GGCMI) phase 1 output data set: CGMS-WOFOST barley
Hoek, S. (Creator) & de Wit, A. (Creator), Wageningen University and Research, 6 Sep 2018
DOI: 10.5281/zenodo.1408543
Dataset

2 Public lecture/debate/seminar
1 Invited talk

DISENTANGLE MECHANISMS OF NITROGEN AND WATER AVAILABILITY ON SOYBEAN YIELDS
J.G. Kroes (Speaker), P. Groenendijk (Speaker), I. Supit (Speaker), A.J.W. de Wit (Speaker), D. d'Abelleyra (Speaker) & Santiago Ramon Vero (Speaker)
15 Mar 2016
Activity: Talk or presentation › Public lecture/debate/seminar › Other
IMPACT ANALYSES OF LAND USE CHANGES ON SOIL NITROGEN AND CROP WATER PRODUCTIVITY IN THE DELTA OF THE HUANGHE RIVER
J.G. Kroes (Speaker), H.L. Boogaard (Speaker), N. Yan (Speaker), M. Zhang (Speaker), P. Groenendijk (Speaker), I. Supit (Speaker) & A.J.W. de Wit (Speaker)
16 May 2016
Activity: Talk or presentation › Public lecture/debate/seminar › Other
Overview of the role of remote sensing in crop monitoring and yield forecasting
Allard de Wit (Speaker)
14 Oct 2010
Activity: Talk or presentation › Invited talk › Other

6 Finished

Data assimilation in the Digital Future Farm: from prototypes to operational use (KB-41-003-008)
de Wit, A.
1/01/21 → 31/12/21
Project: EZproject
Data assimilation with an ensemble Kalman filter for the Digital Future Farm (KB-41-003-002)
de Wit, A.
1/01/20 → 31/12/20
Project: EZproject
Connecting WOFOST and W-FLOW for integrated modelling of hydrology and agricultural production systems (KB-35-008-002)
de Wit, A.
1/01/19 → 31/12/19
Project: EZproject
Geoland2 (KB-14-003-026, KB-14-004-019)
de Wit, A.
1/01/11 → 31/12/12
Project: EZproject
Geoland (KB-04-004-077, KB-04-001-064)
de Wit, A.
1/01/09 → 31/12/10
Project: EZproject

Allard de Wit

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A weakly supervised framework for high-resolution crop yield forecasts

Machine learning for regional crop yield forecasting in Europe

Modelling potential potato yields: Accounting for experimental differences in modern cultivars

A digital twin for arable and dairy farming

How well do crop modeling groups predict wheat phenology, given calibration data from the target population?

A dataset of spectral and biophysical measurements over Russian wheat fields

AgMIP's Global Gridded Crop Model Intercomparison (GGCMI) phase 1 output data set: CGMS-WOFOST soy

AgMIP's Global Gridded Crop Model Intercomparison (GGCMI) phase 1 output data set: CGMS-WOFOST sorghum

AgMIP's Global Gridded Crop Model Intercomparison (GGCMI) phase 1 output data set: CGMS-WOFOST rapeseed

AgMIP's Global Gridded Crop Model Intercomparison (GGCMI) phase 1 output data set: CGMS-WOFOST barley

DISENTANGLE MECHANISMS OF NITROGEN AND WATER AVAILABILITY ON SOYBEAN YIELDS

IMPACT ANALYSES OF LAND USE CHANGES ON SOIL NITROGEN AND CROP WATER PRODUCTIVITY IN THE DELTA OF THE HUANGHE RIVER

Overview of the role of remote sensing in crop monitoring and yield forecasting

Data assimilation in the Digital Future Farm: from prototypes to operational use (KB-41-003-008)

Data assimilation with an ensemble Kalman filter for the Digital Future Farm (KB-41-003-002)

Connecting WOFOST and W-FLOW for integrated modelling of hydrology and agricultural production systems (KB-35-008-002)

Geoland2 (KB-14-003-026, KB-14-004-019)

Geoland (KB-04-004-077, KB-04-001-064)

Allard de Wit

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