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

Original title

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

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

2021

type

Journal article

venue

IEEE Sensors Journal

DOI

10.1109/jsen.2021.3050084

People

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

Topics

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

Sources

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

External links

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