Instant Insights : Machine vision applications in agriculture
Language: English
Published by Burleigh Dodds Science Publishing, 2024
- Softcover
- New
Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
AbeBooks seller since August 14, 2006
Condition: New
£ 69.20
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Add to basketItem description from seller
nach der Bestellung gedruckt Neuware - Printed after ordering - This book features five peer-reviewed reviews on machine vision applications in agriculture.The first chapter examines recent advances in machine vision technologies for the measurement of soil texture, structure and topography. The chapter also provides an overview of the basic principles of machine vision technologies, focussing on areas such as 3D surface modelling.The second chapter considers the use of machine learning methods to classify multiple diseases across several different crop types. The chapter also explains how deep learning for image analysis and classification works.The third chapter presents an overview of the use of machine learning for agri-robotics, including the main trends of the last decade. It also discusses the use of machine learning for data analysis and decision-making for perception and navigation.The fourth chapter addresses the prospects of machine vision application in plant factories with artificial lighting. The chapter also summarises recent research utilising this technology, including plant growth monitoring, robot operation assistance and fruit grading.The final chapter reviews advances in computer vision-based technologies for precision livestock farming. The chapter also reviews how automation in image analysis can promote smart management of livestock to improve health and welfare.…
Seller Inventory # 9781835450086
- Title
- Instant Insights : Machine vision applications in agriculture
- Author
- Jean-Marc Gilliot
- Publisher
- Burleigh Dodds Science Publishing
- Publication year
- 2024
- Condition
- Neu
- Binding
- Taschenbuch
- Language
- English
- ISBN 10
- 1835450083
- ISBN 13
- 9781835450086
- Item weight
- 287 grams
- Dimensions
- 229x152x11 mm
This book features five peer-reviewed reviews on machine vision applications in agriculture.
The first chapter examines recent advances in machine vision technologies for the measurement of soil texture, structure and topography. The chapter also provides an overview of the basic principles of machine vision technologies, focussing on areas such as 3D surface modelling.
The second chapter considers the use of machine learning methods to classify multiple diseases across several different crop types. The chapter also explains how deep learning for image analysis and classification works.
The third chapter presents an overview of the use of machine learning for agri-robotics, including the main trends of the last decade. It also discusses the use of machine learning for data analysis and decision-making for perception and navigation.
The fourth chapter addresses the prospects of machine vision application in plant factories with artificial lighting. The chapter also summarises recent research utilising this technology, including plant growth monitoring, robot operation assistance and fruit grading.
The final chapter reviews advances in computer vision-based technologies for precision livestock farming. The chapter also reviews how automation in image analysis can promote smart management of livestock to improve health and welfare.
"Synopsis" may belong to another edition of this title.
From the Back Cover
This book features five peer-reviewed reviews on machine vision applications in agriculture.
The first chapter examines recent advances in machine vision technologies for the measurement of soil texture, structure and topography. The chapter also provides an overview of the basic principles of machine vision technologies, focussing on areas such as 3D surface modelling.
The second chapter considers the use of machine learning methods to classify multiple diseases across several different crop types. The chapter also explains how deep learning for image analysis and classification works.
The third chapter presents an overview of the use of machine learning for agri-robotics, including the main trends of the last decade. It also discusses the use of machine learning for data analysis and decision-making for perception and navigation.
The fourth chapter addresses the prospects of machine vision application in plant factories with artificial lighting. The chapter also summarises recent research utilising this technology, including plant growth monitoring, robot operation assistance and fruit grading.
The final chapter reviews advances in computer vision-based technologies for precision livestock farming. The chapter also reviews how automation in image analysis can promote smart management of livestock to improve health and welfare.
What is an Instant Insight?
An Instant Insight gives you immediate access to key research on a topic, allowing you to get right to the heart of a subject in an instant and empowering you to contribute to sustainable agriculture.
"About the title" may belong to another edition of this title.
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