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About this book
Modern agricultural practice, with its overwhelming emphasis on high productivity, has had adverse effects on the environment. New forms of sustainable management are being developed which consider agricultural production systems to be part of a much broader ecological system in which soil and water quality and health aspects are important. This type of agricultural management system is called Precision Agriculture. This book investigates these new agricultural systems and looks at how they can improve farm productivity against the enhancements for the environment.
Contents
Precision Agriculture: Introduction to the Spatial and Temporal Variability of Environmental Quality (J. Bouma). 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. G?mez-Hern?ndez). General Reflections (J. Bouma). Summary (R. Rabbinge). Indexes.
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