Trend analysis and performance of machine learning models for agroclimatology parameters in Bosso, Nigeria

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Trend analysis and performance of machine learning models for agroclimatology parameters in Bosso, Nigeria

Climate change necessitates regional transitions to mitigate its impact and enhance agricultural practices. This has led to increased efforts to adopt climate-smart agriculture in Nigeria, focusing on the concurrent analysis of various climatic parameters over the long term across different locatio...

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Bibliographic Details
Main Authors:	Muhammad, Abubakar Sadiq, Che Rose, Farid Zamani, Marsani, Muhammad Fadhil
Format:	Article
Language:	English
Published:	Springer 2025
Online Access:	http://psasir.upm.edu.my/id/eprint/117235/ http://psasir.upm.edu.my/id/eprint/117235/1/117235.pdf

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