Image Compression and Plants Classification Using Machine Learning in Controlled-Environment Agriculture: Antarctic Station Use Case

Título original

Image Compression and Plants Classification Using Machine Learning in Controlled-Environment Agriculture: Antarctic Station Use Case

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

2021

type

Artículo de revista

venue

IEEE Sensors Journal

DOI

10.1109/jsen.2021.3050084

Personas

• Sergey Nesteruk
• Dmitrii Shadrin
• Mariia Pukalchik
• Andrey Somov
• Conrad Zeidler
• Paul Zabel
• Daniel Schubert

Temas

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

Fuentes

• IEEE record and exact-profile abstract: Antarctic controlled-environment plant classification, 2021

Enlaces externos

• https://doi.org/10.1109/jsen.2021.3050084