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.
Nowadays, we’re hearing more and more about retailers and food outlets selling out of date food. Food recalls have also been increasing over the past two decades – in 2009, there were just over 4,000 recalls incidents but last year, the number is more than double, to nearly 9,000 incidents globally (food recalls & border rejections) according to BigDataGrapes data.
As the BigDataGrapes project aspires to support all European companies in the two key industries powered by grapevines (the wine industry and the natural cosmetics one) through the use of big-data, it must be aware of the plethora of threats to ensure a robust and safe food supply chain.
The BigDataGrapes project in the way to complete its primary goal, to help European companies in the wine and natural cosmetics sectors to become more competitive in international markets, shared the experience of Nikos Manouselis (Project Coordinator of BigDataGrapes) on the food safety predictive analytics, presenting his point of view about how these should work.
In the BigDataGrapes project, we deeply understand that ensuring global food safety depends on data. There is data concerning food recalls and border rejections, data pertaining to a huge amount of raw ingredients and commodities, and data unpacking all the possible hazards behind a food safety incident.
Why counting grapevine leaves?
Leaf number is a key indicator of vegetative organogenesis in grapevine. Leaf emission rate (or vegetative organogenesis rhythm) depends on the variety and can be impacted by the environment (water availability in the soil, air temperature, air humidity, radiation).
There are several uses of leaf counting such as:
Table and wine grapes are highly differentiated products. They are influenced by numerous factors including variety, growing region, vineyard characteristics, vineyard management practices and seasonal vintage. Vineyard assessment is a form of quality assurance in the vineyard and has become a critical step in the grapevine value chain.
Decision Support Tools/Systems (DSSs) are designed to assist users in decision-making scenarios that call for the processing of highly complex data. Examples of such a decision-making scenario include weather prediction, irrigation, yield prediction, and so on. In the field of agriculture, various state-of-the-art DSSs are being used by different stakeholders such as farmers, advisers, and policymakers to facilitate such activities.
China International Food Safety & Quality Conference + Expo is the largest event of its kind in the Asia Pacific region addressing the key issues for strengthening food protection. From testing to tracing to inspection and certification. CIFSQ Conference managed to bring together high-level regulators, scientists, academia and industry executives from the global food safety community.
The 13th annual China International Food Safety & Quality (CIFSQ) Conference is an important top-level event that brings together food safety professionals across China and from around the world for two intensive days of learning and networking. The event will be held on 30-31 of October in Crowne Plaza Hotel Beijing, Beijing, China. An educational program features a distinguished faculty of regulatory, scientific, academic and industry leaders who are putting food safety into action.
BigDataGrapes
