Work

Estimating crop yields with deep learning and remotely sensed data

Year: 2015

Type: conference-paper

Source: IEEE International Geoscience and Remote Sensing Symposium (IGARSS)

DOI: 10.1109/igarss.2015.7325900

Authors: Kentaro Kuwata, Ryosuke Shibasaki

Institution: The University of Tokyo

Language: English

Topic: Remote Sensing in Agriculture

Subfield: Ecology

Field: Environmental Science

Domain: Physical Sciences

SDG: Zero hunger

Open Access status: closed

OpenAlex ID: W2014847057

FWCI: 40.02

Cites: 15

Cited by: 227

Related to: 9