Picture of fish in sea

Open Access research that uses mathematical models to solve ecological problems...

Solving a variety of ecological and biological problems is the focus of marine population modelling research conducted within the Department of Mathematics & Statistics. Here research deploys mathematical models to better understanding issues relating to fish stock management, ecosystem dynamics, ocean currents, and the effects of multispecies interactions within diverse marine ecosystems.

Research work in marine population modelling interfaces with a number of other key research specialisms, including mathematical biology, epidemiology and statistical informatics, where investigations are improving human understanding of the behaviour of infectious diseases, particularly in relation to animal infections; but also the modelling of complex biological processes such as antibiotic prodcution in actinobacteria.

Explore some of the Open Access research from Mathematics & Statistics. Or explore all of Strathclyde's Open Access research...

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Jump to: 2019 | 2018
Number of items: 3.

2019

Yan, Xiu Tian and Bianco, Alessandro and Niu, Cong and Palazzetti, Roberto and Henry, Gwenole and Li, Youhua and Tubby, Wayne and Kisdi, Aron and Irshad, Rain and Sanders, Stephen and Scott, Robin; Yan, Xiu T and Bradley, David and Russell, David and Moore, Philip, eds. (2019) The AgriRover : a reinvented mechatronic platform from space robotics for precision farming. In: Reinventing Mechatronics. Springer, Switzerland. ISBN 9783030291310

2018

Yan, Xiu and Bianco, Alessandro and Post, Mark and NIU, Cong and Palazzetti, Roberto and Melville, Craig and Kisdi, Aron and Tubby, Wayne; Yan, Xiu-Tian and Bradley, David and Moore, Philip, eds. (2018) The AgriRover : a mechatronic platform from space robotics for precision farming. In: Reinventing Mechatronics. University of Strathclyde, Glasgow, pp. 112-119. ISBN 978-1-909522-37-4

Niu, Cong and Yan, Xiutian (2018) Energy optimization path planning for battery-powered agricultural rover. MATEC Web of Conferences, 173. 02001. ISSN 2261-236X

This list was generated on Sat Jul 11 10:27:58 2020 BST.