Irina Alles will present her work on phenotypic data clustering on september 13, at 2pm (Galera 127).
Title: Time Series Clustering in the Field of Agronomy
Abstract: This work is realised in the field of agronomy, more precisely in the domain of plant phenotyping. Phenotyping studies the relationship between the genotype (genetic) and phenotype (behavior) of plants in several environmental scenarios. In order to understand certain plant characteristics it compares several genetic varieties of plants in the same environment. The PhenoArch platform is a phenotyping platform enabling the monitoring of certain characteristics for more
than 1000 plants. The obtained data consists of time series of plant traits such as growth, biomass and transpiration.
The goal of this work is to ease the analysis of the obtained plant time series.
Clustering is a widely used method in the data mining domain to divide a
dataset into natural appearing groups, it has demonstrated its benefit in a variety of fields. We will present how this technique can be applied in the field of phenotyping and its potential to ease further investigations.