Dynamic Mode Decomposition and Deep Learning for Postharvest Decay Prediction in Apples

Original title

Dynamic Mode Decomposition and Deep Learning for Postharvest Decay Prediction in Apples

Evidence statuses

relation_layer

D — context

relation_confidence

2 — strong

relevance_status

Included

body_status

Partial text or abstract

doi_status

Confirmed

access_status

Metadata only

expert_review

Included

verification_status

Metadata verified

Details

year

2023

type

Journal article

venue

IEEE Transactions on Instrumentation and Measurement

DOI

10.1109/tim.2023.3284918

People

• Nikita Stasenko
• Dmitrii Shadrin
• Alexandr Katrutsa
• Andrey Somov

Topics

• Calibration and validation
• Experimental basis
• Forecasting and decision support
• GIS and remote sensing

Sources

• IEEE record and exact-profile abstract: dynamic-mode apple decay prediction, 2023

External links

• https://doi.org/10.1109/tim.2023.3284918