21st GiESCO International Meeting: ‘A Multidisciplinary Vision towards Sustainable Viticulture’
DATA MINING APPROACHES FOR TIME SERIES DATA ANALYSIS IN VITICULTURE.
POTENTIAL OF THE BLiSS (BAYESIAN FUNCTIONAL LINEAR REGRESSION WITH SPARSE
STEP FUNCTIONS) METHOD TO IDENTIFY TEMPERATURE EFFECTS ON YIELD POTENTIAL
Cécile LAURENT1,2,3,* Meïli BARAGATTI4, James TAYLOR1, Bruno TISSEYRE1, Aurélie METAY2, Thibaut 3 SCHOLASCH 1 2 ITAP, Univ. Montpellier, Montpellier SupAgro, Irstea, France SYSTEM, Univ Montpellier, CIHEAM-IAMM, CIRAD, INRA, Montpellier SupAgro, France 3 Fruition Sciences, Montpellier, France 4 MISTEA, Univ Montpellier Montpellier SupAgro, INRA, France *Corresponding author : cecile@fruitionsciences.com
Context and purpose of the study – Vine development, and hence management, depends on dynamic factors (climate, soil moisture, cultural practices etc.) whose impact can vary depending upon their temporal modalities (timing, duration, threshold, eventually trajectory and memory effects). Therefore, understanding the effect of the temporal variati...