Instant Insights : Advances in Detecting and Forecasting Crop Pests and Diseases
Language: English
Published by Burleigh Dodds Science Publishing, 2023
- Softcover
- Used
Seller: GreatBookPricesUK, Woodford Green, United KingdomGreatBookPricesUK
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- Title
- Instant Insights : Advances in Detecting and Forecasting Crop Pests and Diseases
- Author
- Long, Megan; Newlands, Nathaniel; Schirmann, Michael; Oerke, E. C.; Sailaja, B.
- Publisher
- Burleigh Dodds Science Publishing
- Publication year
- 2023
- Condition
- As New
- Binding
- Soft cover
- Language
- English
- ISBN 10
- 1801465061
- ISBN 13
- 9781801465069
This collection features six peer-reviewed reviews on advances and in detecting and forecasting crop pests and diseases.
The first chapter introduces the concept of machine learning to identify and diagnose crop diseases, focussing on the deep learning concept.
The second chapter discusses recent advances in crop disease forecasting models, focussing on the application of precision agriculture technologies and Earth observation satellites to identify areas at risk of possible disease outbreaks.
The third chapter explores the contribution of remote sensing in improving the ways in which plant health is monitored in response to exposure to biotic stresses, such as disease.
The fourth chapter reviews how sensor technologies in combination with informatics and modern application technologies can contribute to more effective pest control.
The fifth chapter assesses the role of decision support systems for pest monitoring and management through information technology, such as spectral indices and image-based diagnostics.
The final chapter addresses key issues and challenges in pest monitoring and forecasting models, such as the limitation of some traps in attracting insects through the use of sex pheromones.
"Synopsis" may belong to another edition of this title.
From the Back Cover
This collection features six peer-reviewed reviews on advances and in detecting and forecasting crop pests and diseases.
The first chapter introduces the concept of machine learning to identify and diagnose crop diseases, focussing on the deep learning concept.
The second chapter discusses recent advances in crop disease forecasting models, focussing on the application of precision agriculture technologies and Earth observation satellites to identify areas at risk of possible disease outbreaks.
The third chapter explores the contribution of remote sensing in improving the ways in which plant health is monitored in response to exposure to biotic stresses, such as disease.
The fourth chapter reviews how sensor technologies in combination with informatics and modern application technologies can contribute to more effective pest control.
The fifth chapter assesses the role of decision support systems for pest monitoring and management through information technology, such as spectral indices and image-based diagnostics.
The final chapter addresses key issues and challenges in pest monitoring and forecasting models, such as the limitation of some traps in attracting insects through the use of sex pheromones.
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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