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Title:
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A cloud decision support system for sow farms
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Author:
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Florensa Cazorla, Dídac
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Other authors:
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Solsona Tehàs, Francesc; Mateo Fornés, Jordi; Universitat de Lleida. Escola Politècnica Superior |
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Notes:
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Optimization models are being more used to tackle agro-business prob-
lems. This way, cloud computing, machine learning, big data, internet of
things and optimization are key factors in the innovation of the sector. This
paper proposes a cloud architecture to suggest a ranking of candidate sows
to be replaced and a set of tools to help the farmers to make better strategic,
tactical and operational decisions related with the structure of the sow farms.
The cloud architecture automatizes the process to obtain the results, making
the process transparent to the farmer. This work extends the advantages
of optimization models with the potential of cloud computing. The results
shows that the cloud architecture proposed helps decisions makers in real pig
farms to make a better planning by obtaining the competitive advantages of
using the proposed model in a usable,
exible and simple way. |
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Subject(s):
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-SAAS
-DSS
-Cloud computing
-Optimization models
-Agrobusiness
-Computació en núvol |
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Rights:
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cc-by-nc-nd
http://creativecommons.org/licenses/by-nc-nd/4.0/
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Document type:
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bachelorThesis |
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