Precision Agriculture: Spatial and Temporal Variability of Environmental Quality
Spatial Variability of Soil Moisture Regimes at Different Scales: Implications in the Context of Precision Agriculture (M. Voltz).
Modelling Non-stationary Spatial Covariance Structure from Space-time Monitoring Data (P. Monestiez, et al.).
Ecological Constraints on the Ability of Precision Agriculture to Improve the Environmental Performance of Agricultural Production Systems (P. Groffman).
Predicting Wheat Yields: The Search for Valid and Precise Models (V. Barnett, et al.).
Geostatistics, Remote Sensing and Precision Farming (D. Mulla).
Space-time Statistics for Decision Support to Smart Farming (A. Stein, et al.).
Variability and Uncertainty in Spatial, Temporal and Spatiotemporal Crop-yield and Related Data (A. McBratney, et al.).
Spatial Sampling (S. Thompson).
GIS Support for Precision Agriculture: Problems and Possibilities (A. Bregt).
Modelling for Precision Weed Management (M. Kropff, et al.).
Optimal Mapping of Site-specific Multivariate Soil Properties (P. Burrough & J. Swindell).
Uncertainty in Hydrogeological Modelling (J. Gómez-Hernández).
General Reflections (J. Bouma).
Summary (R. Rabbinge).