Crop classification and yield prediction using robust machine learning models for agricultural sustainability

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Crop classification and yield prediction using robust machine learning models for agricultural sustainability

Agriculture is pivotal for the economy of a country as it is a major source of food, employment and raw materials. However, challenges such as diseases, soil degradation, and water scarcity persist. Technology adoption can address these issues, improving production and quality. Machine learning, a s...

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Bibliographic Details
Main Authors:	Badshah, Abid, Alkazemi, Basem Yousef, Fakhrud Din, ., Kamal Z., Zamli, Muhammad Haris, .
Format:	Article
Language:	English
Published:	IEEE 2024
Subjects:	QA75 Electronic computers. Computer science S Agriculture (General)
Online Access:	https://umpir.ump.edu.my/id/eprint/44215/

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