Investigation on the use of ensemble learning and big data in crop identification

Investigation on the use of ensemble learning and big data in crop identification

The agriculture sector in Egypt faces several problems, such as climate change, water storage, and yield variability. The comprehensive capabilities of Big Data (BD) can help in tackling the uncertainty of food supply occurs due to several factors such as soil erosion, water pollution, climate chang...

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Bibliographic Details
Main Authors: Sayed Ahmed, Amira S. Mahmoud, Eslam Farg, Amany M. Mohamed, Marwa S. Moustafa, Khaled Abutaleb, Ahmed M. Saleh, Mohamed A.E. AbdelRahman, Hisham M. AbdelSalam, Sayed M. Arafat
Format: Article
Language:English
Published: Elsevier 2023-02-01
Series:Heliyon
Subjects:
Big data
Crop identification
Ensemble learning
DB Framework
Apache spark
Online Access:http://www.sciencedirect.com/science/article/pii/S2405844023005467

Internet

http://www.sciencedirect.com/science/article/pii/S2405844023005467

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