Economic growth in the Sub-Saharan African world region: convergence theory
Martinho VJPD (2024) Economic growth in the Sub-Saharan African world region: convergence theory. Competitiveness Review, 11: 0270. https://doi.org/10.1108/CR-11-2023-0270
Vítor Martinho
Soil legislation and policies: Bibliometric analysis, systematic review and quantitative approaches with an emphasis on the specific cases of the European Union and Portugal
Martinho VJPD, Ferreira AJD, Cunha C, Pereira JLS, Sánchez-Carreira MC, Castanheira NL, Ramos TB. (2024) Soil legislation and policies: Bibliometric analysis, systematic review and quantitative approaches with an emphasis on the specific cases of the European Union and Portugal. Heliyon, 10: e34307. https://doi.org/10.1016/j.heliyon.2024.e34307
Bioenergy relations with agriculture, forestry and other land uses: Highlighting the specific contributions of artificial intelligence and co-citation networks
Martinho VJPD, Rodrigues RN (2024) Bioenergy relations with agriculture, forestry and other land uses: Highlighting the specific contributions of artificial intelligence and co-citation networks. Heliyon, 10: e26267. http://dx.doi.org/10.1016/j.heliyon.2024.e26267
Bioenergy relations with agriculture, forestry and other land uses: Highlighting the specific contributions of artificial intelligence and co-citation networks
Martinho VJPD, Rodrigues RN (2024) Bioenergy relations with agriculture, forestry and other land uses: Highlighting the specific contributions of artificial intelligence and co-citation networks. Heliyon, 10: e26267. http://dx.doi.org/10.1016/j.heliyon.2024.e26267
Tourism in rural areas as a broader concept: Some insights from the Portuguese reality
Tenreiro RN, Martinho VJPD (2024) Tourism in rural areas as a broader concept: Some insights from the Portuguese reality. Open Agriculture, 9: 20220345. https://doi.org/10.1515/opag-2022-0345
Applying Artificial Intelligence to Predict Crop Output
Martinho VJPD (2024). Applying Artificial Intelligence to Predict Crop Output. In Machine Learning Approaches for Evaluating Statistical Information in the Agricultural Sector. Chapter 1, pp. 19-33. Springer Nature Switzerland.
Important Indicators for Predicting Crop Protection Costs
Martinho VJPD (2024). Important Indicators for Predicting Crop Protection Costs. In Machine Learning Approaches for Evaluating Statistical Information in the Agricultural Sector. Chapter 1, pp. 75-85. Springer Nature Switzerland.
Machine Learning Methodologies, Wages Paid and the Most Relevant Predictors
Martinho VJPD (2024). Machine Learning Methodologies, Wages Paid and the Most Relevant Predictors. In Machine Learning Approaches for Evaluating Statistical Information in the Agricultural Sector. Chapter 1, pp. 99-110. Springer Nature Switzerland.
Predicting the Total Costs of Production Factors on Farms in the European Union
Martinho VJPD (2024). Predicting the Total Costs of Production Factors on Farms in the European Union. In Machine Learning Approaches for Evaluating Statistical Information in the Agricultural Sector. Chapter 1, pp. 49-60. Springer Nature Switzerland.
Predictive Artificial Intelligence Approaches of Labour Use in the Farming Sector
Martinho VJPD (2024). Predictive Artificial Intelligence Approaches of Labour Use in the Farming Sector. In Machine Learning Approaches for Evaluating Statistical Information in the Agricultural Sector. Chapter 1, pp. 125-135. Springer Nature Switzerland.