Conference & Workshop proceedings, paper, abstract
Using supervised machine learning to explore Vicia faba adaptations to agro-climatic conditions
Zhao J, Sykacek P, Bodner G, Rewald B. Using supervised machine learning to explore Vicia faba adaptations to agro-climatic conditions. In: Institute of, Novi S, Serbia , editors. COST WG1 / EPPN2020 workshop - Current and future applications of phenotyping for plant breeding. Book of Abstracts [Internet]. 2017. Available from: https://www.plant-phenotyping.org/lw_resource/datapool/systemfiles/elements/files/f2202d01-9e4a-11e7-9e7c-dead53a91d31/current/document/Novi_Sad_-_Abstractbook_FINAL.pdf
external links and characteristics of the publication:
BOKU Autors
Gernot Bodner
Priv.-Doz. Dr. Gernot Bodner
Peter Sykacek
Priv.-Doz. Dr. Peter Sykacek
Boris Rewald
Assoc. Prof. Dipl.-Biol. Dr.rer.nat. Boris Rewald
Jiangsan Zhao
Dr. Jiangsan Zhao MSc
www.plant-phenotyping.org