"High-Throughput Phenotyping of Soybean Maturity Using Time Series UAV ..."

Rodrigo G. Trevisan et al. (2020)

> Home

Details and statistics

DOI: 10.3390/RS12213617

access: open

type: Journal Article

metadata version: 2022-06-10

- view
  - electronic edition via DOI (open access)
  authority control:
- export record
  dblp key:
  - journals/remotesensing/TrevisanPSDM20
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/remotesensing/TrevisanPSDM20
Rodrigo G. Trevisan, Osvaldo Pérez, Nathan Schmitz, Brian Diers, Nicolas F. Martin:
High-Throughput Phenotyping of Soybean Maturity Using Time Series UAV Imagery and Convolutional Neural Networks. Remote. Sens. 12(21): 3617 (2020)

manage site settings

To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.