Buch, Englisch, Band 28, 174 Seiten, Format (B × H): 160 mm x 241 mm, Gewicht: 4085 g
Reihe: Mathematics for Industry
Buch, Englisch, Band 28, 174 Seiten, Format (B × H): 160 mm x 241 mm, Gewicht: 4085 g
Reihe: Mathematics for Industry
ISBN: 978-981-10-7810-1
Verlag: Springer Nature Singapore
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.
Zielgruppe
Research
Autoren/Hrsg.
Fachgebiete
- Naturwissenschaften Biowissenschaften Angewandte Biologie Bioinformatik
- Naturwissenschaften Biowissenschaften Angewandte Biologie Biomathematik
- Naturwissenschaften Agrarwissenschaften Agrarwissenschaften
- Technische Wissenschaften Technik Allgemein Mathematik für Ingenieure
- Mathematik | Informatik Mathematik Numerik und Wissenschaftliches Rechnen Angewandte Mathematik, Mathematische Modelle
Weitere Infos & Material
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.