Enhancing Agricultural Operations: Big Data Analytics Using Distributed and Parallel Computing

This comprehensive research investigates using distributed and parallel computing for big data analytics in agriculture to improve farming operations' sustainability, efficiency, and innovation. The paper emphasizes how big data analytics, cloud computing, and parallel distributed processing ca...

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Vydané v:	International Journal of Emerging Engineering and Technology Ročník 2; číslo 2; s. 1 - 7
Hlavní autori:	Fatima, Syeda Alishba, Syeda Faiza Nasim, Saad Ahmed
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Swedish College of Egineering and Technology 30.12.2023
Predmet:	analytics Big data paralellization
ISSN:	2958-3764, 2958-3764
On-line prístup:	Získať plný text
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