From identification to forecasting: the potential of image recognition and artificial intelligence for aphid pest monitoring

From identification to forecasting: the potential of image recognition and artificial intelligence for aphid pest monitoring

Insect monitoring has gained global public attention in recent years in the context of insect decline and biodiversity loss. Monitoring methods that can collect samples over a long period of time and independently of human influences are of particular importance. While these passive collection metho...

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Bibliographic Details
Main Authors: Philipp Batz, Torsten Will, Sebastian Thiel, Tim Mark Ziesche, Christoph Joachim
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-07-01
Series:Frontiers in Plant Science
Subjects:
deep learning
convolutional neural network
integrated pest management
decision support systems
image based identification
applied entomology
Online Access:https://www.frontiersin.org/articles/10.3389/fpls.2023.1150748/full

Internet

https://www.frontiersin.org/articles/10.3389/fpls.2023.1150748/full

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