Zobrazeno 1 - 2
of 2
pro vyhledávání: '"Julieta Sofia Bianchi"'
Publikováno v:
Crop Journal, Vol 8, Iss 2, Pp 351-364 (2020)
CONICET Digital (CONICET)
Consejo Nacional de Investigaciones Científicas y Técnicas
instacron:CONICET
CONICET Digital (CONICET)
Consejo Nacional de Investigaciones Científicas y Técnicas
instacron:CONICET
Seed number (SN) is the component most strongly associated with yield in soybean. SN depends on pod number (PN) and seeds per pod (SPP). Whereas SPP is a relatively stable component, PN is strongly influenced by environmental and management factors.
Autor:
Guillermo L. Grinblat, Eligio N. Morandi, Mónica G. Larese, Rafael Namías, Lucas C. Uzal, Pablo M. Granitto, Julieta Sofia Bianchi
Commercial and scientific plant breeding programs require the phenotyping of large populations. Phenotyping is typically a manual task (costly, time-consuming and sometimes arbitrary). The use of computer vision techniques is a potential solution to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c5cfae55b4e310509c4e64c62c1bba9d
https://www.sciencedirect.com/science/article/pii/S016816991731582X
https://www.sciencedirect.com/science/article/pii/S016816991731582X