Abstract
We propose an algorithmic pipeline for automated yield tracking from images of a melon field captured by a drone. Gathering exact yield statistics automatically saves on an otherwise labor-intensive task.
Original language | English |
---|---|
Title of host publication | Optics and Photonics for Energy and the Environment, EE 2018 |
Publisher | Optica Publishing Group (formerly OSA) |
ISBN (Print) | 9781943580477 |
DOIs | |
State | Published - 2018 |
Externally published | Yes |
Event | Optics and Photonics for Energy and the Environment, EE 2018 - Singapore, Singapore Duration: 5 Nov 2018 → 8 Nov 2018 |
Publication series
Name | Optics InfoBase Conference Papers |
---|---|
Volume | Part F118-EE 2018 |
ISSN (Electronic) | 2162-2701 |
Conference
Conference | Optics and Photonics for Energy and the Environment, EE 2018 |
---|---|
Country/Territory | Singapore |
City | Singapore |
Period | 5/11/18 → 8/11/18 |
Bibliographical note
Publisher Copyright:© 2018 The Author(s).