Detection of banana plants using multi-temporal multispectral uav imagery

Aaron Aeberli, Kasper Johansen, Andrew Robson, David W. Lamb, Stuart Phinn

Research output: Contribution to journalArticlepeer-review

18 Scopus citations


Unoccupied aerial vehicles (UAVs) have become increasingly commonplace in aiding planning and management decisions in agricultural and horticultural crop production. The ability of UAV-based sensing technologies to provide high spatial (
Original languageEnglish (US)
Pages (from-to)2123
JournalRemote Sensing
Issue number11
StatePublished - May 28 2021

Bibliographical note

KAUST Repository Item: Exported on 2021-06-15
Acknowledgements: The authors would like to acknowledge the support from Earle Lawrence (farm holder) and Barry Sullivan (Australian Banana Growers Council), and fieldwork assistance from Yu-Hsuan Tu and Dan Wu. D.W.L. acknowledges the support of Food Agility CRC Ltd., funded
under the Commonwealth Government CRC Program. The CRC Program supports industry-led collaborations between industry, researchers, and the community.

ASJC Scopus subject areas

  • General Earth and Planetary Sciences


Dive into the research topics of 'Detection of banana plants using multi-temporal multispectral uav imagery'. Together they form a unique fingerprint.

Cite this