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Agriculture as a Metaphor for Creativity in All Human Endeavors: Mathematics for Industry, cartea 28

Editat de Robert S. Anderssen, Philip Broadbridge, Yasuhide Fukumoto, Kenji Kajiwara, Matthew Simpson, Ian Turner
en Limba Engleză Hardback – 14 mar 2018
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.


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Specificații

ISBN-13: 9789811078101
ISBN-10: 9811078106
Pagini: 168
Ilustrații: XII, 174 p. 47 illus., 37 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 0.44 kg
Ediția:1st ed. 2018
Editura: Springer Nature Singapore
Colecția Springer
Seria Mathematics for Industry

Locul publicării:Singapore, Singapore

Cuprins

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.

Textul de pe ultima copertă

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.

Caracteristici

Presents cutting-edge examples of mathematics for agriculture interconnected with biology and the environment Shows the importance of collaboration between academia and industry Describes activities in the Asia and Oceania regions