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001-es BibID:	BIBFORM122009
Első szerző:	Al Jafa, Hasan (Ph.D hallgató)
Cím:	Using Agile in Implementing Agriculture AI Projects and Farm Management / Hasan Al Jafa; Várallyai László
Dátum:	2023
Megjegyzések:	The world's population has been increasing rapidly at an unprecedented rate In recent decades. This increase poses significant challenges to the agricultural and farming sector. With more mouths to feed, old farming techniques can't meet the demand. It has become increasingly crucial to adopt advanced management techniques and cutting-edge technologies to boost agricultural productivity, reduce harvesting waste and meet the growing demand for food. This necessitates a paradigm shift in managing farms and agriculture, moving from traditional methods to more innovative and efficient approaches. Two approaches that have recently gained considerable attention are Agile management and Artificial Intelligence (AI). Farmers and agricultural managers can streamline their operations, increase efficiency, and improve their decision-making capabilities by adopting Agile and AI. This paper aims to explore the unique benefits and challenges of implementing Agile management and AI technologies in the agricultural sector and provide insights into their potential to revolutionise the industry. A theoretical implementation model was created with tips and guides for implementation.
Tárgyszavak:	Műszaki tudományok Építészmérnöki tudományok idegen nyelvű folyóiratközlemény hazai lapban folyóiratcikk Scrum Advanced management techniques Decision-making capabilities agile farm management artificial intelligence (ai) flexibility continuous improvement collaboration iterative planning sustainability productivity efficiency artificial intelligence
Megjelenés:	Journal of Agricultural Informatics. - 14 : 1 (2023), p. 1-12. -
További szerzők:	Várallyai László (1962-) (informatika tanár)
Internet cím:	Szerző által megadott URL DOI Intézményi repozitóriumban (DEA) tárolt változat
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