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| 15.18 MB | Adobe PDF |
Autores
Orientador(es)
Resumo(s)
The agricultural livestock production sub-sector is characterized by its many geographically dispersed
production points. Records are usually collected in handwritten forms that are then transposed to
separate Excel sheets by technical assistants. These documents are used to evaluate "one-shot" results
at the end of the animal production batches and are filed together with the other documents in the
batch. Most of the collected data is usually not organized in a way that allows easy historical analysis
and qualitative assessment of economic and technical results. Farmcontrol, the provider of an IoT
solution for livestock farm monitoring wanted to somehow respond to current difficulties and add
meaningful context to the enormous stream of sensor data that are generated. Its goal was to present
relevant real-time insights to livestock producers while helping organize everyday farm tasks and
benchmark results. To tackle this challenge Farmcontrol developed a new module for its cloud
software that promoted the current work project.
Descrição
Project Work report presented as partial requirement for obtaining the Master’s degree in Information Management, with a specialization in Knowledge Management and Business Intelligence
Palavras-chave
Precision Livestock Farming IoT Cloud Software Sustainable Agriculture
