Jiangsan Zhao
Dr. Jiangsan Zhao MSc.
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Publikationen
Wissentransfer in die Gesellschaft
Medienbeiträge
Vorträge
(2018) Model- and Hyperspectral Imaging-based Techniques to Enhance the Root Phenotyping Pipeline
Autoren: Rewald, B; Zhao, J; Leitner, D; Sykacek, P; Bodner, G
ISRR-10 - Exposing the hidden half. Root Research at the Forefront of Science, International Symposium
(2018) Enhancing our understanding of root systems using model-based techniques on phenotyping data
Autoren: Rewald, B; Zhao, J; Leitner, D; Sykacek, P; Bodner, G
48th Annual Meeting of the Ecological Society of Germany, Austria and Switzerland GfÖ 2018 - Ecology – Meeting the Scientific Challenges of a complex World
(2018) Hyperspectral root imaging: Methods and added-value of spectral phenotyping soil-grown root systems
Autoren: Bodner, G; Zhao, J; Rewald, B
European Geosciences Union EGU General Assembly 2018
(2018) Ertragspotenzial und Stressresistenz genetischer Ressourcen von Ackerbohne
Autoren: Bodner, G; Zhao, J; Rewald, B
ALVA Jahrestagung 2018 - Ökologische und soziale Aspekte des innovativen Gartenbaues
(2018) Hyperspectral Imaging in Root Phenotyping
Autoren: Zhao, J; Rewald, B; Bodner, G
ISRR-10 - Exposing the hidden half. Root Research at the Forefront of Science, International Symposium
(2017) Machine learning approaches allow for determination of important root traits and enhance cultivar differentiation
Autoren: Zhao, J; Sykacek, P; Bodner, G; Rewald, B
1st Austrian Plant Phenotyping Network (APPN) Meeting 2017
(2017) Application of principal component analysis facilitates unraveling the effects of AMF and beneficial bacteria on Pisum sativum nutrient status
Autoren: Zhao, J; Sánchez-Navarro, V; Sandén, H; Rosinger, C; Fernández, JA; Bodner, G; Rewald, B
2. Student Conference, Department of Forest and Soil Sciences, 2017
(2017) Model based prediction of mature pea root systems from seedling root phenotyping information
Autoren: Bodner, G; Nakhforoosh, A; Leitner, D; Zhao, J; Nagel, KA; Rewald, B
Advances in grain legume cultivation and use
(2017) Hyperspectral imaging and modelling to extend phenotyping insights into the plant root zone
Autoren: Bodner, G; Nakhforoosh, A; Alsalem, M; Leitner, D; Arnold, T; Zhao, J; Nagel, KA; Rewald, B
1st Austrian Plant Phenotyping Network (APPN) Meeting 2017
(2017) Using supervised machine learning to explore Vicia faba adaptations to agro-climatic conditions
Autoren: Zhao, J; Sykacek, P; Bodner, G; Rewald, B
COST WG1 / EPPN2020 workshop - Current and future applications of phenotyping for plant breeding
(2017) Phenotyping: Using machine learning approaches for root trait selection and genotype classification
Autoren: Zhao, J; Bodner, G; Rewald, B;
1st Austrian Plant Phenotyping Network (APPN) Meeting 2017
(2016) Machine learning approaches for root traits exploration
Autoren: Zhao, J; Bodner, G; Sykacek, P; Rewald, B
1. Student Conference, Department of Forest and Soil Sciences, 2016
(2016) Machine learning approaches allow for determination of important root traits and enhance differentiation of legumes cultivars
Autoren: Zhao, J; Sykacek, P; Bodner, G; Rewald, B
Second International Legume Society Conference: Legumes for a sustainable world
(2015) Wurzelscreening von Körnerleguminosen
Autoren: Zhao, J; Bodner, G; Rewald, B
ALVA Jahrestagung 2015 - Bioökonomie in der Primärproduktion
(2015) Random forest models and Support Vector Machine analysis enhance trait selection and cultivar differentiation of mature pea root systems
Autoren: Zhao, J; Gaonkar, B; Bodner, G; Rewald, B
EPPN Plant Phenotyping Symposium: Next generation plant phenotyping for trait discovery, breeding and beyond: transnational access to European platforms
(2012) Influence of paclobutrazol on tomato root architecture
Autoren: Zhao, J; Rewald, B; Lazarovitch, N; Rachmilevitch, S
42nd Annual Conference of the Ecological Society of Germany, Austria and Switzerland GfÖ 2012