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dc.contributor.authorO'Hare, Anthonyen_UK
dc.description.abstractThe drive to maximize food production in a sustainable manner is a paramount concern for farmers and governments. The aim of food producers is to maximize their production yield employing actions such as application of fertilizer or pesticide they believe help to achieve this aim. However, farms do not exist in isolation, but rather share a landscape with neighbors forming networks where any action taken by any one farmer affects their neighbors who are forced to take mitigating actions creating a complicated set of interactions. Understanding these [non-]cooperative interactions and their effect on the shared ecosystem is important to develop food security strategies while protecting the environment and allowing farmers to make a living. We introduce a simple competitive agent based model in which agents produce food that is sold at a fixed price (we ignore market dynamics and do not include explicit punishment on any agent). We analyzed agent's profits in several simple scenarios allowing us to identify the most advantageous set of actions for maximizing the yield (and thus profit) for each farmer. We show that the effect of the structure of the network on each farm has implications on the actions taken by agents. These results have implications for the understanding of the effects of farming practices on the environment and how different levels of cooperation between farmers, taking into account the local terrain, can be used to incentivise producers to minimise the effects on the environment while maximizing yields.en_UK
dc.publisherFrontiers Media SAen_UK
dc.relationO'Hare A (2023) A toy model of food production in a connected landscape. Eftimie R (Editor) <i>Frontiers in Applied Mathematics and Statistics</i>, 9, Art. No.: 1058273.
dc.rights© 2023 O'Hare. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.en_UK
dc.subjectagent-based modelingen_UK
dc.subjectagricultural system modelen_UK
dc.subjectfood production modelen_UK
dc.titleA toy model of food production in a connected landscapeen_UK
dc.typeJournal Articleen_UK
dc.citation.jtitleFrontiers in Applied Mathematics and Statisticsen_UK
dc.type.statusVoR - Version of Recorden_UK
rioxxterms.typeJournal Article/Reviewen_UK
local.rioxx.authorO'Hare, Anthony|0000-0003-2561-9582en_UK
local.rioxx.projectInternal Project|University of Stirling|
Appears in Collections:Computing Science and Mathematics Journal Articles

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