Machine Learning Approaches for Evaluating Statistical Information in the Agricultural Sector

Machine Learning Approaches for Evaluating Statistical Information in the Agricultural Sector portes grátis

Machine Learning Approaches for Evaluating Statistical Information in the Agricultural Sector

Martinho, Vitor Joao Pereira Domingues

Springer International Publishing AG

02/2024

135

Mole

Inglês

9783031546075

15 a 20 dias

Descrição não disponível.
Chapter 1. Predictive machine learning approaches to agricultural output.- Chapter 2. Applying artificial intelligence to predict crops output.- Chapter 3. Predictive machine learning models for livestock output.- Chapter 4. Predicting the total costs of production factors on farms in the European Union.- Chapter 5. The most important predictors of fertiliser costs.- Chapter 6. Important indicators for predicting crop protection costs.- Chapter 7. The most adjusted predictive models for energy costs.- Chapter 8. Machine learning methodologies, wages paid and the most relevant predictors.- Chapter 9. Predictors of interest paid in the European Union's agricultural sector.- Chapter 10. Predictive artificial intelligence approaches of labour use in the farming sector.
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Farm Accountancy Data Network;European Union Farms;Common Agricultural Policy;Machine Learning Approaches;Econometric Methodologies;Agricultural Economics and Policies