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

Título original

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

Estados de evidencia

relation_layer

D — contexto

relation_confidence

2 — fuerte

relevance_status

Incluido

body_status

Texto parcial o resumen

doi_status

Confirmado

access_status

Solo metadatos

expert_review

Incluido

verification_status

Metadatos verificados

Detalles

year

2023

type

Artículo de revista

venue

IEEE Transactions on Instrumentation and Measurement

DOI

10.1109/tim.2023.3284918

Personas

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

Temas

• Калибровка и валидация
• Экспериментальная база
• Прогнозирование и поддержка решений
• ГИС и дистанционное зондирование

Fuentes

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

Enlaces externos

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