Advances in machine vision technologies for the measurement of soil texture, structure and topography
Gilliot, Jean-Marc; Sauzet, Ophélie
2023
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Résumé

This chapter examines advances in machine vision technologies for the measurement of soil texture, structure and topography. It starts by providing an overview of the basic principles of machine vision technologies, focusing on areas such as 3D surface modelling and various methods of soil thin section microscopy. Two case studies are also provided in the chapter to support the main text discussion.

Détails

Titre Advances in machine vision technologies for the measurement of soil texture, structure and topography
Auteur(s)/ trice(s) Gilliot, Jean-Marc (AgroParisTech Paris Saclay University, Paris, France)
Sauzet, Ophélie (School of Engineering, Architecture and Landscape (HEPIA), HES-SO // University of Applied Sciences and Arts Western Switzerland)
Editeur(s) scientifique(s) Lobsey, Craig ; University of Southern Queensland, Australia
Biswas, Asim ; University of Guelph, Canada
Date 2023-02
Publié dans Advances in sensor technology ofr sustainable crop production
Editeur Cambridge, UK, Burleigh Dodds Science Publishing
Pagination 62 p.
ISBN 9781786769770
DOI https://doi.org/10.19103/AS.2022.0107
ISSN 2059-6936
Collection et n° Burleigh Dodds Series in Agricultural Science
Mots-clés (libres) technology & engineering ; agriculture ; sustainable agriculture ; agronomy ; crop science ; soil science ; soil science and management ; agronomy and crop production ; sedimentology ; agricultural science
Domaine Ingénierie et Architecture
Ecole HEPIA - Genève
Institut inTNP - Institut Terre Nature Paysage
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