Departamento de Ecologia e Agricultura Sustentável (DEAS)
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Browsing Departamento de Ecologia e Agricultura Sustentável (DEAS) by Subject "Accuracy"
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- Predictive Artificial Intelligence Approaches of Labour Use in the Farming SectorPublication . Martinho, VítorIt is not expected that the agricultural sector absorbs a great part of the employment in developed economies with a dynamic industry and services sector. When the percentage of employment in agriculture is high, this may be a sign of the weak performance of the farms. Every country wants to have a developed farming sector to not compromise the dynamics and performance of the economy. In any case, agricultural employment plays a fundamental role, particularly in rural spaces and in contexts of temporary crises in the remaining economy. Taking into account these motivations, this chapter aims to highlight the main approaches and variables that may be considered to predict labour use in the European Union farms. To achieve these aims, European Union agricultural statistics were considered, as well as models based on the new technologies associated with the digital transition worldwide. The results found may provide pertinent suggestions for a more sustainable farming sector, where the social contributions may be improved.
- Predictive Machine Learning Models for Livestock OutputPublication . Martinho, VítorAgricultural planning always had an important role in the performance of agriculture, but in our days this component of agricultural management seems to have an increased responsibility, because of the challenges imposed by the current contexts, specifically those related to the sustainability of the associated activities and processes. In fact, currently, it is important to reduce the environmental impacts of the farming dynamics and raise production to deal with the increased demand for food worldwide. The livestock activities are particularly complex and call for adjusted plans and management decisions. The new technologies associated with the digital transition may bring relevant added value, namely to predict outputs. This chapter aims to suggest models and predictors to support the farmers and other stakeholders to better design policies and farm plans. Statistical information from the European Union databases was considered. The results found are useful tools to improve the performance of the European Union farms, particularly those specialised in livestock production.