Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Priyanka Gattu"'
Autor:
Serkan Kartal, Sunita Choudhary, Jan Masner, Jana Kholová, Michal Stočes, Priyanka Gattu, Stefan Schwartz, Ewaut Kissel
Publikováno v:
Sensors, Vol 21, Iss 23, p 8022 (2021)
This study tested whether machine learning (ML) methods can effectively separate individual plants from complex 3D canopy laser scans as a prerequisite to analyzing particular plant features. For this, we scanned mung bean and chickpea crops with Pla
Externí odkaz:
https://doaj.org/article/be5bb2fb943545fca868cac803dfa73d
Autor:
Priyanka, Gattu, Choudhary, Sunita, Anbazhagan, Krithika, Naresh, Dharavath, Baddam, Rekha, Jarolimek, Jan, Parnandi, Yogesh, Rajalakshmi, P., Kholova, Jana
Publikováno v:
In ISPRS Open Journal of Photogrammetry and Remote Sensing August 2023 9
Autor:
Sadashivan, Shreeshan, Bhattacherjee, Subhra S., Priyanka, Gattu, Pachamuthu, Rajalakshmi, Kholova, Jana
Publikováno v:
In Biosystems Engineering November 2021 211:192-204
Autor:
Sunita Choudhary, Jan Masner, Stefan Schwartz, Serkan Kartal, Jana Kholova, Priyanka Gattu, Michal Stočes, Ewaut Kissel
Publikováno v:
Sensors; Volume 21; Issue 23; Pages: 8022
Sensors (Basel, Switzerland)
Sensors, Vol 21, Iss 8022, p 8022 (2021)
Sensors (Basel, Switzerland)
Sensors, Vol 21, Iss 8022, p 8022 (2021)
This study tested whether machine learning (ML) methods can effectively separate individual plants from complex 3D canopy laser scans as a prerequisite to analyzing particular plant features. For this, we scanned mung bean and chickpea crops with Pla