Can we predict which vineyard will supply the best quality leaves for natural cosmetics production?

Within the BigDataGrapes project, several types of commercial partners are engaged belonging to grapevine-powered industries, like SYMBEEOSIS S.A. - a company directly linked to natural cosmetics production as a supplier of raw ingredients intended for cosmetic industries.

Grapevine by-products have significant biological value with potential health-promoting activities representing an excellent raw material for food, cosmetics, or pharmaceuticals industries. Potential buyers or companies like the cosmetics ones have no efficient and economical way to assess the quality and fitness of these by-products, except sampling and laboratory testing.

On the other hand, winemaking creates numerous of these kind by-products and if farmers had adequate data related to crop management and products’ biological activity, they could achieve an added value for them. To this end, within the BigDataGrapes pilots, the "Natural Cosmetics Pilot" was designed for the exploitation of big data sources related to grapevine farming and the biological activity of the extracts. In fact, these extracts are derived by grapevine leaves of Greek indigenous varieties and are used in the production of natural cosmetics.

The overall aim of the Natural Cosmetics Pilot is to create a predictive model that will correlate parameters from the field to parameters linked with biological efficacy. This process will be delivered to the end-users, ranging from cosmetics industry scientists to grapevine practitioners, where through a specialized dashboard they would be able to make informed decisions. This software is designed in a way that will give them easy and practical access to both technological components and a fully-fledged decision support system.

The present version of the software will be focused on grapevine leaves’ biological efficacy from 16 Greek vineyards, which after correlation with weather and satellite vegetation indices data-sets, will aim to predict the origin of the vineyard that could supply the best quality leaves for next year’s natural cosmetics production.

The dashboard will integrate intelligence data derived from satellites and meteorological stations for the targeted vineyards, laboratory analyses on the biological activity of two different type extracts from leaves, and finally will help end-users to answer competence questions related with incoming raw material quality, vineyards/samples’ origin, correlation attributes between biological properties of sample and vineyard performance, and many more.

Through the development of the BigDataGrapes platform, all related parties will benefit, as the cosmetic industries could assess all critical data and decide which exact raw material fits their production needs. On the other side, grapevine practitioners will upgrade their field management giving added value not only to their basic products (i.e. grapes) but also to the generated by-products, which currently remain underutilized.

Original article by Pantelis Natskoulis, SYMBEEOSIS

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