Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Pheunphit Soisouvanh"'
Autor:
Kensuke Kawamura, Hidetoshi Asai, Taisuke Yasuda, Pheunphit Soisouvanh, Sengthong Phongchanmixay
Publikováno v:
Plant Production Science, Vol 0, Iss 0, Pp 1-18 (2020)
In this study, we propose a method for discriminating crops/weeds in upland rice fields using a commercial unmanned aerial vehicles (UAVs) and red-green-blue (RGB) cameras with the simple linear iterative clustering (SLIC) algorithm and random forest
Externí odkaz:
https://doaj.org/article/09fe6725aa52403b9fa3105e834fd1a1
Autor:
Kensuke Kawamura, Hidetoshi Asai, Taisuke Yasuda, Phanthasin Khanthavong, Pheunphit Soisouvanh, Sengthong Phongchanmixay
Publikováno v:
Plant Production Science, Vol 23, Iss 4, Pp 452-465 (2020)
Plant height (PH) is an important agronomical parameter to assess the growth status in upland rice fields. Recently, field-based phenotyping using unmanned aerial vehicles (UAVs) has received increasing attention as a cost-effective, well-suited sens
Externí odkaz:
https://doaj.org/article/3e92f26722394976a7fd291908867536
Autor:
Hidetoshi Asai, Pheunphit Soisouvanh, Taisuke Yasuda, Kensuke Kawamura, Sengthong Phongchanmixay
Publikováno v:
Plant Production Science, Vol 0, Iss 0, Pp 1-18 (2020)
In this study, we propose a method for discriminating crops/weeds in upland rice fields using a commercial unmanned aerial vehicles (UAVs) and red-green-blue (RGB) cameras with the simple linear iterative clustering (SLIC) algorithm and random forest
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::42ed0565c026ffb12f37f60340bc1734
https://doaj.org/article/09fe6725aa52403b9fa3105e834fd1a1
https://doaj.org/article/09fe6725aa52403b9fa3105e834fd1a1
Autor:
Phanthasin Khanthavong, Hidetoshi Asai, Kensuke Kawamura, Pheunphit Soisouvanh, Sengthong Phongchanmixay, Taisuke Yasuda
Publikováno v:
Plant Production Science, Vol 23, Iss 4, Pp 452-465 (2020)
Plant height (PH) is an important agronomical parameter to assess the growth status in upland rice fields. Recently, field-based phenotyping using unmanned aerial vehicles (UAVs) has received increasing attention as a cost-effective, well-suited sens
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::29f2f9bac3c0290ec551e8748335172b
https://doaj.org/article/3e92f26722394976a7fd291908867536
https://doaj.org/article/3e92f26722394976a7fd291908867536