DescriptionThis book investigates new agricultural systems such as organic and green manuring, as well as integrated pest management practices, and looks at how they can improve farm productivity against the enhancements for the environment. Much of the information presented focuses on microinvestigation of the soil, and on the effects of soil variability within fields on yields and nutrient flows.
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).