TY - GEN
T1 - Melon recognition in UAV images to estimate yield of a breeding process
AU - Dashuta, Artium
AU - Klapp, Iftach
N1 - Publisher Copyright:
© 2018 The Author(s).
PY - 2018/1/1
Y1 - 2018/1/1
N2 - 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.
AB - 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.
UR - https://www.scopus.com/pages/publications/85059514151
U2 - 10.1364/EE.2018.ET4A.2
DO - 10.1364/EE.2018.ET4A.2
M3 - Conference contribution
AN - SCOPUS:85059514151
SN - 9781943580477
T3 - Optics InfoBase Conference Papers
BT - Optics and Photonics for Energy and the Environment, EE 2018
PB - Optica Publishing Group (formerly OSA)
T2 - Optics and Photonics for Energy and the Environment, EE 2018
Y2 - 5 November 2018 through 8 November 2018
ER -