WIN $150 GIFT VOUCHERS: ALADDIN'S GOLD

Close Notification

Your cart does not contain any items

$97.95   $83.29

Paperback

Not in-store but you can order this
How long will it take?

QTY:

English
Burleigh Dodds Science Publishing Limited
20 June 2023
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.
By:   , , , , , ,
Imprint:   Burleigh Dodds Science Publishing Limited
Country of Publication:   United Kingdom
Volume:   26
Dimensions:   Height: 229mm,  Width: 152mm,  Spine: 13mm
Weight:   320g
ISBN:   9781801465069
ISBN 10:   1801465061
Series:   Burleigh Dodds Science: Instant Insights
Pages:   232
Publication Date:  
Audience:   College/higher education ,  Professional and scholarly ,  Primary ,  Undergraduate
Format:   Paperback
Publisher's Status:   Active

See Also