Publications

Related scientific papers

Martinho, V. J. P. D. (2022). Trends of the Agricultural Sector in Era 4.0. SpringerBriefs in Applied Sciences and Technology. Springer, Cham. (https://link.springer.com/book/10.1007/978-3-030-98959-0) 

Martinho, V. J. P. D., & Guiné, R. de P. F. (2021). Integrated-Smart Agriculture: Contexts and Assumptions for a Broader Concept. Agronomy, 11(8), 1568. (https://www.mdpi.com/2073-4395/11/8/1568)  

Papers published during the project

Martinho, V. J. P. D., Cunha, C. A. S., Pato, M. L., Costa, P. J. L., Sánchez-Carreira, M. C., Georgantzís, N., Rodrigues, R. N., & Coronado, F. (2022). Machine Learning and Food Security: Insights for Agricultural Spatial Planning in the Context of Agriculture 4.0. Applied Sciences,12(22),11828. (https://doi.org/10.3390/app122211828) 

Martinho, Vítor João Pereira Domingues. Energy Crops: Assessments in the European Union Agricultural Regions through Machine Learning Approaches. Regional Science Inquiry, XV(1), 29-42. (https://www.rsijournal.eu/ARTICLES/June_2023/02.pdf)   

Martinho, V. J. P. D. (2023). Fertiliser cost prediction in European Union farms: Machine-learning approaches through artificial neural networks. Open Agriculture, 8(1), 20220191. (https://doi.org/10.1515/opag-2022-0191)  

Martinho, V. J. P. D. & Rodrigues, R. N. (2024). Bioenergy relations with agriculture, forestry and other land uses: Highlighting the specific contributions of artificial intelligence and co-citation networks. Heliyon, 10, 4, e26267. (https://doi.org/10.1016/j.heliyon.2024.e26267)   

Book published during the project

Martinho, V. J. P. D. (2024). Machine Learning Approaches for Evaluating Statistical Information in the Agricultural Sector. Springer Cham. (https://doi.org/10.1007/978-3-031-54608-2)  

Chapters published during the project

Martinho, V. J. P. D. (2023). Machine and Deep Learning: Their Roles in the Context of the Economic Growth Processes and Sustainability Assessment. In: Economic Growth: Advances in Analysis Methodologies and Technologies. SpringerBriefs in Applied Sciences and Technology. Springer, Cham. (https://doi.org/10.1007/978-3-031-38363-2_9)  

Martinho, V. J. P. D. (2023). Economic Growth, Sustainability Assessment and Artificial Intelligence: Combinations Among These Three Dimensions. In: Economic Growth: Advances in Analysis Methodologies and Technologies. SpringerBriefs in Applied Sciences and Technology. Springer, Cham. (https://doi.org/10.1007/978-3-031-38363-2_10)  

Presentations at international scientific events during the project

Martinho, V. J. P. D. (2023). Frameworks of Innovation and Technology in Times of Agriculture 4.0: Specific Regional Particularities. 30th APDR Congress, 19-21 July 2023, University of Minho, Braga, Portugal

Martinho, V. J. P. D. (2023). Worldwide conditions for a digital transition: Perspective for Agriculture 4.0 in the context of smart regions. 62nd ERSA Congress, 8 August-1 September 2023, Alicante, Spain and online.

Final report