Agriculture

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Collaborate to Innovate - A Workshop on Ticks and Tick-Borne Diseases

AI Assisted Animal Biosecurity Advice Tool - Project Report

An online tool is being developed using artificial intelligence to provide convenient access to biosecurity advice for farmers. Initial development and testing of the proof of concept has produced a shiny app

Available at: https://epidemiology.sruc.ac.uk/shiny/apps/bitesize-biosecurity/

SEFARI Fellowship: Mapping Land Use and Natural Capital Models and Research in Scotland - Report

This report presents the results from an online survey commissioned by SEFARI on behalf of the Scottish Government to assess the current coverage and capabilities of the Land Use and Natural Capital modelling and tools used and in development by the research community in Scotland. The purpose is to map and categorise the modelling capabilities available and understand how this capability can be better used and enhanced.

The report is a product of the SEFARI Fellowship Mapping Land Use and Natural Capital Models and Research in Scotland.

Land Use and Natural Capital Survey Responses - Spreadsheet

This is a redacted version of survey outputs where personal details have been removed. The response have been provided by individual researchers. For GDPR reasons their details are not provided here.

Should you wish to learn more about the models, please contact the named organisations directly.

AI Assisted Animal Biosecurity Advice Tool

Available at: https://epidemiology.sruc.ac.uk/shiny/apps/bitesize-biosecurity/

Developing alternative strategies to antibiotics for livestock animal welfare

Importance of farmed animals to Scotland

Dr Sonia Mitchell

I am a research software engineer at Biomathematics and Statistics Scotland, where I design and implement software solutions for open science applications. In addition to this, I've been involved in multiple mathematical and statistical modelling projects, e.g. developing statistical models of antimicrobial resistance and implementing novel Markovian methods with which to assess freedom from infection of groups of animals.

Sonia Mitchell

BioSS

James Clerk Maxwell Building

Peter Guthrie Tait Road, The King's Buildings

Edinburgh

EH9 3FD

Preliminary feasibility study for a sheep efficiency data tool

Ann McLaren & Nicola Lambe

The objective of this work is to determine what additional data would be beneficial, alongside the existing statutory data currently recorded through ScotEID, to incorporate into a “MyFlockStats” decision-making tool to help drive efficiency in the sheep sector. This report is intended to be a preliminary feasibility study to inform any future development, commissioning and operation of a “MyFlockStats” system to assist in the improvement of efficient sheep production in Scotland as part of the aims of the Vision for Agriculture.

Dr Chris Pooley

I work at BioSS as a mathematical modeller. My theoretical effort has largely focused on population and individual-level dynamic process-based models using and developing a variety of techniques: data augmentation MCMC, particle methods, model and posterior-based proposals, multi-temperature MCMC, novel ABC methods and reliable approaches to model selection. These have allowed me to investigate, amongst other things, the genetic basis for epidemiological traits, disease transmission experiments, disease spread in wild populations and phylodynamic analyses.

Chris Pooley

Dr Martin Knight

I am a mathematical modeller focussing on Agent-Based Modelling approaches to represent real-world complex systems. I am currently applying these models to endemic disease spread in the Scottish cattle trading system, and researching the effectiveness of novel disease control measures and their impacts at systems- and individual-level. More generally, I am interested in modelling the dynamics of behavioural adaptation of individuals in response to the introduction of well-intentioned interventions.

Martin Knight