Autor:
Shimojima, Kohei
Ogawa, Satoshi
Naito, Hiroki
Valencia, Milton Orlando
Shimizu, Yo
Hosoi, Fumiki
Uga, Yusaku
Ishitani, Manabu
Selvaraj, Michael Gomez
Omasa, Kenji
Remote sensing technology for monitoring plant trains has a huge potential to accelerate breeding process. In this paper, we have studied on remote sensing of using an unmanned aerial vehicle (UAV) system for plant traits phenotyping in rice. The images of rice canopy were taken by a RGB camera f...
Enlace original:
https://cgspace.cgiar.org/handle/10568/89638
Shimojima, Kohei
,
Ogawa, Satoshi
,
Naito, Hiroki
,
Valencia, Milton Orlando
,
Shimizu, Yo
,
Hosoi, Fumiki
,
Uga, Yusaku
,
Ishitani, Manabu
,
Selvaraj, Michael Gomez
,
Omasa, Kenji
,
[Comparison Between Rice Plant Traits and Color Indices Calculated from UAV Remote Sensing Images]
,
Comparison Between Rice Plant Traits and Color Indices Calculated from UAV Remote Sensing Images
