Early Detection of Aphid Infestation and Insect-Plant Interaction Assessment in Wheat Using a Low-Cost Electronic Nose (E-Nose), Near-Infrared Spectroscopy and Machine Learning Modeling

Early Detection of Aphid Infestation and Insect-Plant Interaction Assessment in Wheat Using a Low-Cost Electronic Nose (E-Nose), Near-Infrared Spectroscopy and Machine Learning Modeling

Advances in early insect detection have been reported using digital technologies through camera systems, sensor networks, and remote sensing coupled with machine learning (ML) modeling. However, up to date, there is no cost-effective system to monitor insect presence accurately and insect-plant inte...

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Bibliographic Details
Main Authors: Sigfredo Fuentes, Eden Tongson, Ranjith R. Unnithan, Claudia Gonzalez Viejo
Format: Article
Language:English
Published: MDPI AG 2021-09-01
Series:Sensors
Subjects:
remote sensing
volatile compounds
artificial neural networks
photosynthesis modeling
plant water status modeling
Online Access:https://www.mdpi.com/1424-8220/21/17/5948

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https://www.mdpi.com/1424-8220/21/17/5948

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