An evaluation of machine learning for soil analysis in internet of things-enabled smart farming

Abstract Soil plays a foundational role in sustaining agricultural productivity and ecological stability, yet traditional soil analysis methods remain labour-intensive, slow, and often inadequate for real-time decision-making in modern precision agriculture. With the rise of Agriculture 4.0, machine...

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Autors principals:	Preety Chaudhary, Preeti Gulia, Nasib Singh Gill, Noha Alduaiji, Piyush Kumar Shukla, Susheela Vishnoi
Format:	Artigo
Idioma:	Inglês
Publicat:	Nature Portfolio 2026-02-01
Col·lecció:	Scientific Reports
Matèries:	Soil analysis Machine learning Internet of things (IoT) Precision agriculture Smart farming Soil fertility prediction
Accés en línia:	https://doi.org/10.1038/s41598-026-36017-z
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