GREENHOUSE TOMATO & BIG DATA
(Dr. Ephrem Habyarimana, research scientist at CREA, “made a successful case” at the EBDVF 2018 in Vienna, on November 12, 2018).
The Big data management in greenhouse eco-systems (DataBio agricultural pilots) allow us to predict the performance of tomato individuals.
Machine learning, genomic selection, big data (IoT) and other parametric and non-parametric analytics are used in place of direct phenotyping to evaluate and select among individuals and we get increased genetic gain (productivity) by unit time and cost.
PARTNERS INVOLVED: DR. Ephrem Habyarimana (CREA , Italy) & Anagnostis Argiriou (CERTH , Greece).