Land use mapping and monitoring in the Netherlands using remote sensing data. - Allard J. W. de Wit (IGARSS, 2003)

Using quadtree segmentation to support error modelling in categorical raster data. - Sytze de Bruin; Allard J. W. de Wit; Pepijn A. J. van Oort; Ben Gorte (Int. J. Geogr. Inf. Sci., 2004)

Spatial variability in classification accuracy of agricultural crops in the Dutch national land-cover database. - Pepijn A. J. van Oort; Arnold K. Bregt; Sytze de Bruin; Allard J. W. de Wit; Alfred Stein (Int. J. Geogr. Inf. Sci., 2004)

Stochastic simulation of large grids using free and public domain software. - Sytze de Bruin; Allard J. W. de Wit (Comput. Geosci., 2005)

A review on reflective remote sensing and data assimilation techniques for enhanced agroecosystem modeling. - Wouter Dorigo; Raúl Zurita-Milla; Allard J. W. de Wit; Jason Brazile; Ranvir Singh; Michael E. Schaepman (Int. J. Appl. Earth Obs. Geoinformation, 2007)

Crop growth modelling and crop yield forecasting using satellite-derived meteorological inputs. - Allard J. W. de Wit; Cees A. Van Diepen (Int. J. Appl. Earth Obs. Geoinformation, 2008)

Preface. - Allard J. W. de Wit; Katarzyna Dabrowska-Zielinska; Cees A. Van Diepen (Int. J. Appl. Earth Obs. Geoinformation, 2008)

Scatterometer-Derived Soil Moisture Calibrated for Soil Texture With a One-Dimensional Water-Flow Model. - Remko de Lange; Rob Beck; Nick van de Giesen; Jan Friesen; Allard de Wit; Wolfgang Wagner 001 (IEEE Trans. Geosci. Remote. Sens., 2008)

China crop growth monitoring system-methodology and operational activities overview. - Qing Huang; Zhongxin Chen; Wenbin Wu; Allard de Wit; Fei Teng; Dandan Li (IGARSS, 2011)

A Dutch multi-date land use database: Identification of real and methodological changes. - Gerard W. Hazeu; Arnold K. Bregt; Allard J. W. de Wit; Jan G. P. W. Clevers (Int. J. Appl. Earth Obs. Geoinformation, 2011)

Yield estimation using SPOT-VEGETATION products: A case study of wheat in European countries. - Wanda Kowalik; Katarzyna Dabrowska-Zielinska; Michele Meroni; Teresa Urszula Raczka; Allard J. W. de Wit (Int. J. Appl. Earth Obs. Geoinformation, 2014)

WOFOST developer's response to article by Stella et al., Environmental Modelling & Software 59 (2014): 44-58. - Allard de Wit; Hendrik Boogaard; Kees van Diepen; Daniel van Kraalingen; Reimund P. Rötter; Iwan Supit; Joost Wolf; Martin K. van Ittersum (Environ. Model. Softw., 2015)

Joint Assimilation of Leaf Area Index and Soil Moisture from Sentinel-1 and Sentinel-2 Data into the WOFOST Model for Winter Wheat Yield Estimation. - Haizhu Pan; Zhongxin Chen; Allard de Wit; Jianqiang Ren (Sensors, 2019)

WISS a Java Continuous Simulation Framework for Agro-Ecological Modelling. - D. W. G. van Kraalingen; M. J. Rob Knapen; Allard de Wit; H. L. Boogaard (ISESS, 2020)

The chaos in calibrating crop models: Lessons learned from a multi-model calibration exercise. - Daniel Wallach 001; Taru Palosuo; Peter J. Thorburn; Zvi Hochman; Emmanuelle Gourdain; Fety Andrianasolo; Senthold Asseng; Bruno Basso; Samuel Buis; Neil Crout; Camilla Dibari; Benjamin Dumont; et al. (Environ. Model. Softw., 2021)

A weakly supervised framework for high-resolution crop yield forecasts. - Dilli R. Paudel; Diego Marcos; Allard de Wit; Hendrik Boogaard; Ioannis N. Athanasiadis (CoRR, 2022)

Interpretability of deep learning models for crop yield forecasting. - Dilli R. Paudel; Allard de Wit; Hendrik Boogaard; Diego Marcos; Sjoukje A. Osinga; Ioannis N. Athanasiadis (Comput. Electron. Agric., 2023)

Efficient and scalable crop growth simulations using standard big data and distributed computing technologies. - Rob Knapen; Allard de Wit; Eliya Buyukkaya; Petros Petrou; Dilli Paudel; Sander Janssen; Ioannis N. Athanasiadis (Comput. Electron. Agric., 2025)