Agriculture as a Metaphor for Creativity in All Human Endeavors

by Robert S. Anderssen (Editor), Philip Broadbridge (Editor), Yasuhide Fukumoto (Editor), Kenji Kajiwara (Editor), Matthew Simpson (Editor)

Overview

This book is a collection of papers presented at the 'Forum "Math-for-Industry" 2016 ' (FMfl2016), held at Queensland University of Technology, Brisbane, Australia, on November 21–23, 2016. The theme for this unique and important event was “Agriculture as a Metaphor for Creativity in All Human Endeavors”, and it brought together leading international mathematicians and active researchers from universities and industry to discuss current challenging topics and to promote interactive collaborations between mathematics and industry.

The success of agricultural practice relies fundamentally on its interconnections with and dependence on biology and the environment. Both play essential roles, including the biological adaption to cope with environmental challenges of biotic and abiotic stress and global warming. The book highlights the development of mathematics within this framework that successful agricultural practice depends upon and exploits.

Product Details

ISBN-13:	9789811340031
Publisher:	Springer Nature Singapore
Publication date:	01/30/2019
Series:	Mathematics for Industry , #28
Edition description:	Softcover reprint of the original 1st ed. 2018
Pages:	174
Product dimensions:	6.10(w) x 9.25(h) x (d)

Table of Contents

Decisions and Control in Digital Agriculture.- The shape of things to come - using geometric and morphometric analyses to identify archaeological starch grains.- In an increasingly digitally connected food and fibre world – what is the role of mathematical sciences and mathematicians?.- New mathematical models of antimalarial drug action to improve drug dosing regimens.- Biodiversity and the ecology of emerging infectious diseases.- Reaction-Diffusion Equations and Cellular Automata.- How to be Bayesian: using informative priors to improve decision-making.- Robust estimation for high-dimensional graphical models.- An overview of methods to identify and manage uncertainty for modelling problems in the water-agriculture-environment secto.- Geometry of timelike minimal surfaces and null curves.- Multiscale Modelling of Groundwater Flow.- Accounting for modelling errors in parameter estimation problems: The Bayesian approximation error approach.- Reducing sludge formation in the activated sludge process.- Incoporating prior knowledge in the calibration of hydrological models for water resources forecasting.- Utilization of ICT in Japan Agriculture.- Fire propagation from an agricultural perspective.- Sustainable Agriculture and Goyder's Line.- Inferring rates of pest and pathogen incursion into Australia.- Modelling the physiological effects of Nasal High Flow.- Boundary Modeling in Model-Based Calibration for Automotive Engines and Its Vertex Representation for the Convex Hull Approach.- Mathematical descriptions of rock pore geometry and its evolution.- Statistical machine learning approaches for agriculture and human healthcare based on biomedical big data.- Modelling the spread of a virus on the leaf of a plant.- The epigenetic memory of winter in owering plants.- MISG Experiences - from cheese ripening to foreign matter detection.- Protein complex prediction.- Transport network in living systems designed by current-reinforcement rule.