Estimation of physico-chemical properties of soil using machine learning

Estimation of physico-chemical properties of soil using machine learning

Alternatives to traditional soil quality estimation methods, often costly and inaccessible in resource-poor regions, are needed. This study explored the use of soil images to determine physico-chemical characteristics of soil samples from two locations in Benue State, North-Central Nigeria: Vandeiky...

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Bibliographic Details
Main Authors: Patience Chizoba Mba, Opegbemi Matthias Busoye, John Temitope Ajayi, Judith Nkechinyere Njoku, Cosmas Ifeanyi Nwakanma, Senorpe Asem-Hiablie, Rammohan Mallipeddi, Tusan Park, Daniel Dooyum Uyeh
Format: Article
Language:English
Published: Elsevier 2024-12-01
Series:Smart Agricultural Technology
Subjects:
Soil properties
Soil images
Machine learning
Image analysis
Agriculture
Online Access:http://www.sciencedirect.com/science/article/pii/S2772375524002843
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