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A publicação pode ser exportada nos seguintes formatos: referência da APA (American Psychological Association), referência do IEEE (Institute of Electrical and Electronics Engineers), BibTeX e RIS.

Exportar Referência (APA) 
Sousa, M. (2024). Artificial intelligence in agriculture: Applications in Portugal. In Ojars Sparitis (Ed.), Proceedings of 11th SWS International Scientific Conference on Social Sciences - ISCSS 2024. (pp. 565-572). Albena. Bulgaria: SGEM World Science (SWS) Scholarly Society.
Exportar Referência (IEEE) 
M. J. Sousa,  "Artificial intelligence in agriculture: Applications in Portugal", in Proc. of 11th SWS Int. Scientific Conf. on Social Sciences - ISCSS 2024, Ojars Sparitis, Ed., Albena. Bulgaria, SGEM World Science (SWS) Scholarly Society, 2024, vol. 11, pp. 565-572
Exportar BibTeX 
@inproceedings{sousa2024_1782717801925,
	author = "Sousa, M.",
	title = "Artificial intelligence in agriculture: Applications in Portugal",
	booktitle = "Proceedings of 11th SWS International Scientific Conference on Social Sciences - ISCSS 2024",
	year = "2024",
	editor = "Ojars Sparitis",
	volume = "11",
	number = "",
	series = "",
	doi = "10.35603/sws.iscss.2024/vs16/94",
	pages = "565-572",
	publisher = "SGEM World Science (SWS) Scholarly Society",
	address = "Albena. Bulgaria",
	organization = "",
	url = "https://ssalibrary.at/sgem_jresearch_publication_view.php?page=view&editid1=5542"
}
Exportar RIS 
TY  - CPAPER
TI  - Artificial intelligence in agriculture: Applications in Portugal
T2  - Proceedings of 11th SWS International Scientific Conference on Social Sciences - ISCSS 2024
VL  - 11
AU  - Sousa, M.
PY  - 2024
SP  - 565-572
SN  - 2682-9959
DO  - 10.35603/sws.iscss.2024/vs16/94
CY  - Albena. Bulgaria
UR  - https://ssalibrary.at/sgem_jresearch_publication_view.php?page=view&editid1=5542
AB  - As technology advances continue to redefine artificial intelligence (AI), it has become a focal point for researchers and industry specialists. The creation of robots that mimic human cognitive functions including learning, reasoning, and self-correction is referred to as artificial intelligence (AI). AI’s rising precision and efficiency have been demonstrated by its wide range of applications across industries, and agriculture has embraced the technology to boost productivity and income. To gain a thorough understanding of the topic, a review of previous research on artificial intelligence in agriculture was conducted. Additionally, this paper takes a practical approach to the potential of artificial intelligence in agriculture. It addresses the emergence of new techniques and methods, applies a quantitative approach, and examines how experts, academics, and agriculture professionals view the application of AI in agriculture. By providing insights that are relevant in both academic and practical contexts, it aids in the creation of actual applications.
ER  -