2nd Call for H.F.R.I. Research Projects to support Faculty Members and Researchers, Hellenic Foundation for Research and Innovation - ELIDEK
The aim of the DiVine project is to identify and interpret the correlation of soil microbiome distribution and activity to the resulting phenotypic traits of a cultivar with high variability level, such as vineyards, through the implementation of PA practices combined with microbiome imprinting and state-of-the-art artificial intelligence techniques for the analysis of the collected data. The overall purpose is to develop an efficient computational model of the crop yield that receives input from the aforementioned time-dependent multidimensional data and predicts the product phenotype
