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Agriculture as a Metaphor for Creativity in All Human Endeavors

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Cover of 'Agriculture as a Metaphor for Creativity in All Human Endeavors'

Table of Contents

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    Book Overview
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    Chapter 1 The Shape of Things to Come—Using Geometric and Morphometric Analyses to Identify Archaeological Starch Grains
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    Chapter 2 New Mathematical Models of Antimalarial Drug Action to Improve Drug Dosing Regimens
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    Chapter 3 Biodiversity and the Ecology of Emerging Infectious Diseases
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    Chapter 4 Reaction–Diffusion Equations and Cellular Automata
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    Chapter 5 Geometry of Timelike Minimal Surfaces and Null Curves
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    Chapter 6 Accounting for Modelling Errors in Parameter Estimation Problems: The Bayesian Approximation Error Approach
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    Chapter 7 Reducing Sludge Formation in the Activated Sludge Process
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    Chapter 8 Incorporating Prior Knowledge in the Calibration of Hydrological Models for Water Resources Forecasting
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    Chapter 9 Maintaining Reliable Agriculture Productivity and Goyder’s Line of Reliable Rainfall
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    Chapter 10 Vertex Representation of Convex Hulls for Fast Evaluation of Boundary Constraints in Model-Based Calibration for Automotive Engines
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    Chapter 11 Mathematical Modeling of Rock Pore Geometry and Mineralization: Applications of Persistent Homology and Random Walk
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    Chapter 12 Statistical Machine Learning for Agriculture and Human Health Care Based on Biomedical Big Data
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    Chapter 13 Compactly Supported Solutions of Reaction–Diffusion Models of Biological Spread
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    Chapter 14 Two Challenging Difficulties of Protein Complex Prediction
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    Chapter 15 An Overview of Methods to Identify and Manage Uncertainty for Modelling Problems in the Water–Environment–Agriculture Cross-Sector
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Title
Agriculture as a Metaphor for Creativity in All Human Endeavors
Published by
Springer, Singapore, January 2016
DOI 10.1007/978-981-10-7811-8
ISBNs
978-9-81-107810-1, 978-9-81-107811-8
Editors

Robert S. Anderssen, Philip Broadbridge, Yasuhide Fukumoto, Kenji Kajiwara, Matthew Simpson, Ian Turner

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 5 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 5 100%

Demographic breakdown

Readers by professional status Count As %
Professor 2 40%
Student > Ph. D. Student 1 20%
Student > Bachelor 1 20%
Researcher 1 20%
Readers by discipline Count As %
Arts and Humanities 1 20%
Environmental Science 1 20%
Agricultural and Biological Sciences 1 20%
Physics and Astronomy 1 20%
Materials Science 1 20%
Other 0 0%