Hello guest
Your basket is empty
We provide two pathways to the content. Thematic (chapters that address certain themes, e.g. cultivation, regardless of crop or animal type) and Product (chapters that relate to a specific type of crop or animal). Choose the most applicable route to find the right collection for you. 
 
Can’t find what you are looking for? Contact us and let us help you build a custom-made collection. 
You are in: All categories > A-Z Chapters > A
Use the Contact form to discuss the best purchasing method for you... Start building your collection today!

Advances in machine vision technologies for the measurement of soil texture, structure and topography

Code: 9781801468008
Jean-Marc Gilliot, AgroParisTech Paris Saclay University, France; and Ophélie Sauzet, University of Applied Sciences of Western Switzerland, The Geneva Institute of Technology, Architecture and Landscape (HEPIA), Soils and Substrates Group, Institute Land-Nature- Environment (inTNE Institute), Switzerland

Chapter synopsis:

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.



DOI: 10.19103/AS.2022.0107.15
£25.00
Table of contents
  • 1 Introduction
  • 2 Basic principles
  • 3 Case studies
  • 4 Conclusion and future trends
  • 5 Where to look for further information
  • 6 Acknowledgements
  • 7 References

Also in A