Publicação

Machine Learning Methodologies, Wages Paid and the Most Relevant Predictors

Detalhes bibliográficos
Resumo:	The agricultural sector worldwide has an economic dimension related to the remuneration of the production factors applied in the sector, an environmental contribution associated with the sustainability of rural places and a social dimension related to the employment creation and the consequent level of remuneration of the labour. The question here is about the level of wages paid in the agricultural sector across the European Union countries and about the main factors that may be taken into account to predict the level of these wages paid to agricultural workers. This research intends to select the models with better precision to predict the wages paid in the European Union agriculture and to suggest important predictors from the enormous number of indicators that may be identified in the farms. The findings obtained may be considered relevant support for the design of social and agricultural policies in the European framework.
Autores principais:	Martinho, Vítor
Assunto:	Artificial intelligence Farm accountancy data network European Union
Ano:	2024
País:	Portugal
Tipo de documento:	capítulo de livro
Tipo de acesso:	acesso restrito
Instituição associada:	Instituto Politécnico de Viseu
Idioma:	inglês
Origem:	Repositório Científico do Instituto Politécnico de Viseu

Descrição
Resumo:	The agricultural sector worldwide has an economic dimension related to the remuneration of the production factors applied in the sector, an environmental contribution associated with the sustainability of rural places and a social dimension related to the employment creation and the consequent level of remuneration of the labour. The question here is about the level of wages paid in the agricultural sector across the European Union countries and about the main factors that may be taken into account to predict the level of these wages paid to agricultural workers. This research intends to select the models with better precision to predict the wages paid in the European Union agriculture and to suggest important predictors from the enormous number of indicators that may be identified in the farms. The findings obtained may be considered relevant support for the design of social and agricultural policies in the European framework.