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Emerald
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Fuzzy Partial Differential Equations and Relational Equations
During last decade significant progress has been made in the oil indus try by using soft computing technology. Underlying this evolving technology there have, been ideas transforming the very language we use to describe problems with imprecision, uncertainty and partial truth. These developments offer exciting opportunities, but at the same time it is becoming clearer that further advancements are confronted by funda mental problems. The whole idea of how human process information lies at the core of the challenge. There are already new ways of thinking about the problems within theory of perception-based information. This theory aims to understand and harness the laws of human perceptions t...
Precision Agriculture Basics
With the growing popularity and availability of precision equipment, farmers and producers have access to more data than ever before. With proper implementation, precision agriculture management can improve profitability and sustainability of production. Precision Agriculture Basics is geared at students, crop consultants, farmers, extension workers, and practitioners that are interested in practical applications of site-specific agricultural management. Using a multidisciplinary approach, readers are taught to make data-driven on-farm decisions using the most current knowledge and tools in crop science, agricultural engineering, and geostatistics. Precision Agriculture Basics also features a stunning video glossary including interviews with agronomists on the job and in the field.
GlobalSoilMap
GlobalSoilMap: Basis of the global spatial soil information system contains contributions that were presented at the 1st GlobalSoilMap conference, held 7-9 October 2013 in Orl‘s, France. These contributions demonstrate the latest developments in the GlobalSoilMap project and digital soil mapping technology for which the ultimate aim is to produce a
Principles of Modeling Uncertainties in Spatial Data and Spatial Analyses
When compared to classical sciences such as math, with roots in prehistory, and physics, with roots in antiquity, geographical information science (GISci) is the new kid on the block. Its theoretical foundations are therefore still developing and data quality and uncertainty modeling for spatial data and spatial analysis is an important branch of t
Geostatistical Analysis of Compositional Data
1. Introduction. 2. Regionalized Compositions. 3. Spatial Covariance Structure. 4. Concepts of Null Correlation. 5. Cokriging. 6. Practical Aspects of Compositional Data Analysis. 7. Application to Real Data. Summary and Prospects. References. Index.
Labile Organic Matter
"Because of its dynamic nature, labile organic matter is a key player in terrestrial and aquatic ecosystems. Editors Zhongqi He and Fengchang Wu include contributions from more than 30 senior researchers and innovative junior investigators from six countries. With issue-oriented comprehensive reviews and problem-solving case studies, this collection brings together soil and aquatic scientists to provide a comprehensive understanding for managing the sources and fates of labile organic matter. A timely synthesis of recent research, this collection illustrates the remarkable range of advanced techniques and approaches for labile organic matter research. This book will serve as a valuable reference for university faculty, graduate students, soil scientists, ecologists, limnologists, marine scientists, environmental scientists, agricultural engineers, and any who work with various aspects of labile organic matter in the environment."
