The BigDataGrapes vision enabling global disruption of the grapevine-powered industries

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Panagiotis Zervas presentation on the vision of the project at the BigDataGrapes workshop "Big Data for the Grapevine Industries" in Pisa, Italy (8/3/2019)

Data & Analytics

WWW.BIGDATAGRAPES.EU
BigDataGrapes - Big Data to Enable Global Disruption of the
Grapevine-powered Industries has received funding from the
European Union’s Horizon 2020 research and innovation programme
under grant agreement No 780751.
Big Data for Disrupting
the Grapevine-powered
Industries
BigDataGrapes Workshop| Pisa, Italy, 8/3/2019
Panagiotis Zervas
Head of Projects, Agroknow

WWW.BIGDATAGRAPES.EU
The Grapevine
Industry
The Different Stages
2

WWW.BIGDATAGRAPES.EU
Grapevine
& vineyard
R&D
SALES
Distribution
to EU +
global
markets
Processing
factories &
Chemistry
laboratories
Processing
factories /
facilities
Winery
facilities
Production
vineyards
Packaging

WWW.BIGDATAGRAPES.EU
SALES
Distribution
to EU + global
markets
Processing
factories &
Chemistry
laboratories
Processing
factories /
facilities
Winery
facilities
Production
vineyards
Grapevine &
vineyard
R&D
Packaging
Extremely Large & heterogeneous data flows

WWW.BIGDATAGRAPES.EU
Supporting the European
Grapevine-powered Industry
An ICT project that aims to enhance the wine and natural cosmetics
industries and Improve the competitive positioning of companies
with software applications in the European IT sector, such as:
Quality control and compliance software for
companies in the beauty and cosmetics sector
Farm management and precision agriculture
systems for vineyards
Food risk assessment monitoring and
prediction systems for companies in
the food sector

WWW.BIGDATAGRAPES.EU
Targets technology challenges of the grapevine-powered
data economy, requiring processing, analysis and visualisation
of data with rapidly increasing volume, velocity and variety.
BigDataGrapes Mission
Satellite
Sensor / Weather
Phenotypic / Genetic plant data
In-field observations
Bibliographic data
Data Spectrum:
Extremely
Heterogeneous (& Big)

WWW.BIGDATAGRAPES.EU
Beneficiaries
Wine producers,
bottlers and
distributors
Producers and
packagers of food and
wine products
Natural
cosmetic
companies

WWW.BIGDATAGRAPES.EU
Partners & Roles
Agroknow
Greece
Project Coordinator
Architecture leader
Dissemination leader
Ontotext
Bulgaria
Semantic technologies
leader
CNR
Italy
Processing
technologies leader
KU Leuven
Belgium
Visualization leader
Geocledian
Germany
Cross-pilot satellite
data techs
INRA
France
Wine pilot lead
AUA
Greece
Table and wine
grapes pilot lead
ABACO
Italy
Farm Mng pilot
lead
SYMBEEOSIS
Greece
Natural cosmetics
pilot lead

WWW.BIGDATAGRAPES.EU
Pilot Cases
Overview
11

WWW.BIGDATAGRAPES.EU
Table and Wine Grapes
Improve the quality of table
and wine grapes

WWW.BIGDATAGRAPES.EU
Wine Making
Improve the quality of wine and support
the efficient management of the vineyard

WWW.BIGDATAGRAPES.EU
Farm Management Systems
Improve the ability to take quick and
informed decisions through FMS

WWW.BIGDATAGRAPES.EU
Natural Cosmetics
Informed selection of raw
materials for producing better
grape extracts used for cosmetics

WWW.BIGDATAGRAPES.EU
Panagiotis Zervas
Agroknow
pzervas@agroknow.com
@BigDataGrapes
https://www.linkedin.com/groups/13574473
Thank you!!
16

Big Data Grapes, as part of the European Big Data Value community was on the 16th of May in Sofia, Bulgaria, in an event organised by the Big Data Value PPP, with the twofold objective of strengthening collaborations among community members and increasing the visibility and awareness about the PPP in East Europe in general and Bulgaria in particular. Ontotext, our Bulgarian project partner presented the potential of Big Data Streams in grape and wine production. #bdvmeetupsofia18

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Kiwi Creative

Harness the power of AI-backed reports, benchmarking and data analysis to predict trends and detect anomalies in your marketing efforts. Peter Caputa, CEO at Databox, reveals how you can discover the strategies and tools to increase your growth rate (and margins!). From metrics to track to data habits to pick up, enhance your reporting for powerful insights to improve your B2B tech company's marketing. - - - This is the webinar recording from the June 2024 HubSpot User Group (HUG) for B2B Technology USA. Watch the video recording at https://youtu.be/5vjwGfPN9lw Sign up for future HUG events at https://events.hubspot.com/b2b-technology-usa/

一比一原版(Unimelb毕业证书)墨尔本大学毕业证如何办理

xclpvhuk

原版制作【微信:41543339】【(Unimelb毕业证书)墨尔本大学毕业证】【微信:41543339】《成绩单、外壳、雅思、offer、留信学历认证（永久存档/真实可查）》采用学校原版纸张、特殊工艺完全按照原版一比一制作（包括：隐形水印，阴影底纹，钢印LOGO烫金烫银，LOGO烫金烫银复合重叠，文字图案浮雕，激光镭射，紫外荧光，温感，复印防伪）行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备，十五年致力于帮助留学生解决难题，业务范围有加拿大、英国、澳洲、韩国、美国、新加坡，新西兰等学历材料，包您满意。【我们承诺采用的是学校原版纸张（纸质、底色、纹路），我们拥有全套进口原装设备，特殊工艺都是采用不同进口机器一比一制作，仿真度基本可以达到100%，所有工艺效果都可提前给客户展示，不满意可以根据客户要求进行调整，直到满意为止！】【业务选择办理准则】一、工作未确定，回国需先给父母、亲戚朋友看下文凭的情况，办理一份就读学校的毕业证【微信41543339】文凭即可二、回国进私企、外企、自己做生意的情况，这些单位是不查询毕业证真伪的，而且国内没有渠道去查询国外文凭的真假，也不需要提供真实教育部认证。鉴于此，办理一份毕业证【微信41543339】即可三、进国企，银行，事业单位，考公务员等等，这些单位是必需要提供真实教育部认证的，办理教育部认证所需资料众多且烦琐，所有材料您都必须提供原件，我们凭借丰富的经验，快捷的绿色通道帮您快速整合材料，让您少走弯路。留信网认证的作用: 1:该专业认证可证明留学生真实身份 2:同时对留学生所学专业登记给予评定 3:国家专业人才认证中心颁发入库证书 4:这个认证书并且可以归档倒地方 5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息 6:个人职称评审加20分 7:个人信誉贷款加10分 8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才留信网服务项目： 1、留学生专业人才库服务（留信分析） 2、国（境）学习人员提供就业推荐信服务 3、留学人员区块链存储服务【关于价格问题（保证一手价格）】我们所定的价格是非常合理的，而且我们现在做得单子大多数都是代理和回头客户介绍的所以一般现在有新的单子我给客户的都是第一手的代理价格，因为我想坦诚对待大家不想跟大家在价格方面浪费时间对于老客户或者被老客户介绍过来的朋友，我们都会适当给一些优惠。选择实体注册公司办理，更放心，更安全！我们的承诺：客户在留信官方认证查询网站查询到认证通过结果后付款，不成功不收费！

一比一原版(UCSF文凭证书)旧金山分校毕业证如何办理

nuttdpt

毕业原版【微信:176555708】【(UCSF毕业证书)旧金山分校毕业证】【微信:176555708】成绩单、外壳、offer、留信学历认证（永久存档真实可查）采用学校原版纸张、特殊工艺完全按照原版一比一制作（包括：隐形水印，阴影底纹，钢印LOGO烫金烫银，LOGO烫金烫银复合重叠，文字图案浮雕，激光镭射，紫外荧光，温感，复印防伪）行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备，十五年致力于帮助留学生解决难题，业务范围有加拿大、英国、澳洲、韩国、美国、新加坡，新西兰等学历材料，包您满意。【我们承诺采用的是学校原版纸张（纸质、底色、纹路），我们拥有全套进口原装设备，特殊工艺都是采用不同机器制作，仿真度基本可以达到100%，所有工艺效果都可提前给客户展示，不满意可以根据客户要求进行调整，直到满意为止！】【业务选择办理准则】一、工作未确定，回国需先给父母、亲戚朋友看下文凭的情况，办理一份就读学校的毕业证【微信176555708】文凭即可二、回国进私企、外企、自己做生意的情况，这些单位是不查询毕业证真伪的，而且国内没有渠道去查询国外文凭的真假，也不需要提供真实教育部认证。鉴于此，办理一份毕业证【微信176555708】即可三、进国企，银行，事业单位，考公务员等等，这些单位是必需要提供真实教育部认证的，办理教育部认证所需资料众多且烦琐，所有材料您都必须提供原件，我们凭借丰富的经验，快捷的绿色通道帮您快速整合材料，让您少走弯路。留信网认证的作用: 1:该专业认证可证明留学生真实身份 2:同时对留学生所学专业登记给予评定 3:国家专业人才认证中心颁发入库证书 4:这个认证书并且可以归档倒地方 5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息 6:个人职称评审加20分 7:个人信誉贷款加10分 8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才留信网服务项目： 1、留学生专业人才库服务（留信分析） 2、国（境）学习人员提供就业推荐信服务 3、留学人员区块链存储服务 → 【关于价格问题（保证一手价格）】我们所定的价格是非常合理的，而且我们现在做得单子大多数都是代理和回头客户介绍的所以一般现在有新的单子我给客户的都是第一手的代理价格，因为我想坦诚对待大家不想跟大家在价格方面浪费时间对于老客户或者被老客户介绍过来的朋友，我们都会适当给一些优惠。选择实体注册公司办理，更放心，更安全！我们的承诺：客户在留信官方认证查询网站查询到认证通过结果后付款，不成功不收费！

Palo Alto Cortex XDR presentation .......

Sachin Paul

一比一原版(GWU,GW文凭证书)乔治·华盛顿大学毕业证如何办理

bopyb

毕业原版【微信:176555708】【(GWU,GW毕业证书)乔治·华盛顿大学毕业证】【微信:176555708】成绩单、外壳、offer、留信学历认证（永久存档真实可查）采用学校原版纸张、特殊工艺完全按照原版一比一制作（包括：隐形水印，阴影底纹，钢印LOGO烫金烫银，LOGO烫金烫银复合重叠，文字图案浮雕，激光镭射，紫外荧光，温感，复印防伪）行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备，十五年致力于帮助留学生解决难题，业务范围有加拿大、英国、澳洲、韩国、美国、新加坡，新西兰等学历材料，包您满意。【我们承诺采用的是学校原版纸张（纸质、底色、纹路），我们拥有全套进口原装设备，特殊工艺都是采用不同机器制作，仿真度基本可以达到100%，所有工艺效果都可提前给客户展示，不满意可以根据客户要求进行调整，直到满意为止！】【业务选择办理准则】一、工作未确定，回国需先给父母、亲戚朋友看下文凭的情况，办理一份就读学校的毕业证【微信176555708】文凭即可二、回国进私企、外企、自己做生意的情况，这些单位是不查询毕业证真伪的，而且国内没有渠道去查询国外文凭的真假，也不需要提供真实教育部认证。鉴于此，办理一份毕业证【微信176555708】即可三、进国企，银行，事业单位，考公务员等等，这些单位是必需要提供真实教育部认证的，办理教育部认证所需资料众多且烦琐，所有材料您都必须提供原件，我们凭借丰富的经验，快捷的绿色通道帮您快速整合材料，让您少走弯路。留信网认证的作用: 1:该专业认证可证明留学生真实身份 2:同时对留学生所学专业登记给予评定 3:国家专业人才认证中心颁发入库证书 4:这个认证书并且可以归档倒地方 5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息 6:个人职称评审加20分 7:个人信誉贷款加10分 8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才留信网服务项目： 1、留学生专业人才库服务（留信分析） 2、国（境）学习人员提供就业推荐信服务 3、留学人员区块链存储服务 → 【关于价格问题（保证一手价格）】我们所定的价格是非常合理的，而且我们现在做得单子大多数都是代理和回头客户介绍的所以一般现在有新的单子我给客户的都是第一手的代理价格，因为我想坦诚对待大家不想跟大家在价格方面浪费时间对于老客户或者被老客户介绍过来的朋友，我们都会适当给一些优惠。选择实体注册公司办理，更放心，更安全！我们的承诺：客户在留信官方认证查询网站查询到认证通过结果后付款，不成功不收费！

ViewShift: Hassle-free Dynamic Policy Enforcement for Every Data Lake

Walaa Eldin Moustafa

Dynamic policy enforcement is becoming an increasingly important topic in today’s world where data privacy and compliance is a top priority for companies, individuals, and regulators alike. In these slides, we discuss how LinkedIn implements a powerful dynamic policy enforcement engine, called ViewShift, and integrates it within its data lake. We show the query engine architecture and how catalog implementations can automatically route table resolutions to compliance-enforcing SQL views. Such views have a set of very interesting properties: (1) They are auto-generated from declarative data annotations. (2) They respect user-level consent and preferences (3) They are context-aware, encoding a different set of transformations for different use cases (4) They are portable; while the SQL logic is only implemented in one SQL dialect, it is accessible in all engines. #SQL #Views #Privacy #Compliance #DataLake

DATA COMMS-NETWORKS YR2 lecture 08 NAT & CLOUD.docx

SaffaIbrahim1

DSSML24_tspann_CodelessGenerativeAIPipelines

Timothy Spann

Codeless Generative AI Pipelines (GenAI with Milvus) https://ml.dssconf.pl/user.html#!/lecture/DSSML24-041a/rate Discover the potential of real-time streaming in the context of GenAI as we delve into the intricacies of Apache NiFi and its capabilities. Learn how this tool can significantly simplify the data engineering workflow for GenAI applications, allowing you to focus on the creative aspects rather than the technical complexities. I will guide you through practical examples and use cases, showing the impact of automation on prompt building. From data ingestion to transformation and delivery, witness how Apache NiFi streamlines the entire pipeline, ensuring a smooth and hassle-free experience. Timothy Spann https://www.youtube.com/@FLaNK-Stack https://medium.com/@tspann https://www.datainmotion.dev/ milvus, unstructured data, vector database, zilliz, cloud, vectors, python, deep learning, generative ai, genai, nifi, kafka, flink, streaming, iot, edge

Intelligence supported media monitoring in veterinary medicine

AndrzejJarynowski

一比一原版(UO毕业证)渥太华大学毕业证如何办理

aqzctr7x

UO毕业证录取书【微信95270640】购买（渥太华大学毕业证成绩单硕士学历）Q微信95270640代办UO学历认证留信网伪造渥太华大学学位证书精仿渥太华大学本科/硕士文凭证书补办渥太华大学 diplomaoffer,Transcript购买渥太华大学毕业证成绩单购买UO假毕业证学位证书购买伪造渥太华大学文凭证书学位证书,专业办理雅思、托福成绩单，学生ID卡，在读证明，海外各大学offer录取通知书，毕业证书，成绩单，文凭等材料:1:1完美还原毕业证、offer录取通知书、学生卡等各种在读或毕业材料的防伪工艺（包括烫金、烫银、钢印、底纹、凹凸版、水印、防伪光标、热敏防伪、文字图案浮雕，激光镭射，紫外荧光，温感光标）学校原版上有的工艺我们一样不会少，不论是老版本还是最新版本，都能保证最高程度还原，力争完美以求让所有同学都能享受到完美的品质服务。文凭办理流程： 1客户提供办理信息：姓名生日专业学位毕业时间等（如信息不确定可以咨询顾问：微信95270640我们有专业老师帮你查询）； 2开始安排制作毕业证成绩单电子图； 3毕业证成绩单电子版做好以后发送给您确认； 4毕业证成绩单电子版您确认信息无误之后安排制作成品； 5成品做好拍照或者视频给您确认； 6快递给客户（国内顺丰国外DHLUPS等快读邮寄）。 7完成交易删除客户资料高精端提供以下服务：一：渥太华大学渥太华大学毕业证文凭证书全套材料从防伪到印刷水印底纹到钢印烫金二：真实使馆认证（留学人员回国证明）使馆存档三：真实教育部认证教育部存档教育部留服网站可查四：留信认证留学生信息网站可查五：与学校颁发的相关证件1:1纸质尺寸制定（定期向各大院校毕业生购买最新版本毕,业证成绩单保证您拿到的是鲁昂大学内部最新版本毕业证成绩单微信95270640） A.为什么留学生需要操作留信认证? 留信认证全称全国留学生信息服务网认证,隶属于北京中科院。①留信认证门槛条件更低,费用更美丽,并且包过,完单周期短,效率高②留信认证虽然不能去国企,但是一般的公司都没有问题,因为国内很多公司连基本的留学生学历认证都不了解。这对于留学生来说,这就比自己光拿一个证书更有说服力,因为留学学历可以在留信网站上进行查询! B.为什么我们提供的毕业证成绩单具有使用价值？查询留服认证是国内鉴别留学生海外学历的唯一途径但认证只是个体行为不是所有留学生都操作所以没有办理认证的留学生的学历在国内也是查询不到的他们也仅仅只有一张文凭。所以这时候我们提供的和学校颁发的一模一样的毕业证成绩单就有了使用价值。只硕大的蛇皮袋手里拎着长铁钩正站在门口朝黑色的屋内张望不好坏人小偷山娃一怔却也灵机一动立马仰起头双手拢在嘴边朝楼上大喊：“爸爸爸——有人找——那人一听朝山娃尴尬地笑笑悻悻地走了山娃立马“嘭的一声将铁门锁死心却咚咚地乱跳当山娃跟父亲说起这事时父亲很吃惊抚摸着山娃的头说还好醒得及时要不家早被人掏空了到时连电视也没得看啰不过父亲还是夸山娃能临危不乱随机应变有胆有谋山娃笑笑说那都是书上学的看童话和小说时多

End-to-end pipeline agility - Berlin Buzzwords 2024

Lars Albertsson

We describe how we achieve high change agility in data engineering by eliminating the fear of breaking downstream data pipelines through end-to-end pipeline testing, and by using schema metaprogramming to safely eliminate boilerplate involved in changes that affect whole pipelines. A quick poll on agility in changing pipelines from end to end indicated a huge span in capabilities. For the question "How long time does it take for all downstream pipelines to be adapted to an upstream change," the median response was 6 months, but some respondents could do it in less than a day. When quantitative data engineering differences between the best and worst are measured, the span is often 100x-1000x, sometimes even more. A long time ago, we suffered at Spotify from fear of changing pipelines due to not knowing what the impact might be downstream. We made plans for a technical solution to test pipelines end-to-end to mitigate that fear, but the effort failed for cultural reasons. We eventually solved this challenge, but in a different context. In this presentation we will describe how we test full pipelines effectively by manipulating workflow orchestration, which enables us to make changes in pipelines without fear of breaking downstream. Making schema changes that affect many jobs also involves a lot of toil and boilerplate. Using schema-on-read mitigates some of it, but has drawbacks since it makes it more difficult to detect errors early. We will describe how we have rejected this tradeoff by applying schema metaprogramming, eliminating boilerplate but keeping the protection of static typing, thereby further improving agility to quickly modify data pipelines without fear.

Open Source Contributions to Postgres: The Basics POSETTE 2024

ElizabethGarrettChri

Postgres is the most advanced open-source database in the world and it's supported by a community, not a single company. So how does this work? How does code actually get into Postgres? I recently had a patch submitted and committed and I want to share what I learned in that process. I’ll give you an overview of Postgres versions and how the underlying project codebase functions. I’ll also show you the process for submitting a patch and getting that tested and committed.

The Ipsos - AI - Monitor 2024 Report.pdf

Social Samosa

Everything you wanted to know about LIHTC

Roger Valdez

Experts live - Improving user adoption with AI

jitskeb

一比一原版(UMN文凭证书)明尼苏达大学毕业证如何办理

nyfuhyz

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原版制作(unimelb毕业证书)墨尔本大学毕业证Offer一模一样

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一比一原版(UMN文凭证书)明尼苏达大学毕业证如何办理

原版制作(unimelb毕业证书)墨尔本大学毕业证Offer一模一样

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The BigDataGrapes vision enabling global disruption of the grapevine-powered industries

1. WWW.BIGDATAGRAPES.EU BigDataGrapes - Big Data to Enable Global Disruption of the Grapevine-powered Industries has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 780751. Big Data for Disrupting the Grapevine-powered Industries BigDataGrapes Workshop| Pisa, Italy, 8/3/2019 Panagiotis Zervas Head of Projects, Agroknow

2. WWW.BIGDATAGRAPES.EU The Grapevine Industry The Different Stages 2

3. WWW.BIGDATAGRAPES.EU Grapevine & vineyard R&D SALES Distribution to EU + global markets Processing factories & Chemistry laboratories Processing factories / facilities Winery facilities Production vineyards Packaging

4. WWW.BIGDATAGRAPES.EU Grapevine & vineyard R&D SALES Distribution to EU + global markets Processing factories & Chemistry laboratories Processing factories / facilities Winery facilities Production vineyards Packaging Cultivating & testing grape varieties in experimental vineyards Measuring + analyzing properties / behavior of grape varieties Aging & Bottling Processing grapes for other products Drying grapes for raisins Producing grape juice for food Processing grapes/juice to distill phenolic extract for natural cosmetics

5. WWW.BIGDATAGRAPES.EU Grapevine & vineyard R&D SALES Distribution to EU + global markets Processing factories & Chemistry laboratories Processing factories / facilities Winery facilities Production vineyards Packaging Data powered decisions DECISION: Raw materials & products selection DECISION: Product Quality Control & Assurance DECISION: Selection Of Raw Materials & Extracts As Side Products DECISION: Efficient Management Of Vineyard DECISION: Informing Consumer Choice DECISION: Brand Development & Storytelling

6. WWW.BIGDATAGRAPES.EU SALES Distribution to EU + global markets Processing factories & Chemistry laboratories Processing factories / facilities Winery facilities Production vineyards Grapevine & vineyard R&D Packaging Extremely Large & heterogeneous data flows

7. WWW.BIGDATAGRAPES.EU Supporting the European Grapevine-powered Industry An ICT project that aims to enhance the wine and natural cosmetics industries and Improve the competitive positioning of companies with software applications in the European IT sector, such as: Quality control and compliance software for companies in the beauty and cosmetics sector Farm management and precision agriculture systems for vineyards Food risk assessment monitoring and prediction systems for companies in the food sector

8. WWW.BIGDATAGRAPES.EU Targets technology challenges of the grapevine-powered data economy, requiring processing, analysis and visualisation of data with rapidly increasing volume, velocity and variety. BigDataGrapes Mission Satellite Sensor / Weather Phenotypic / Genetic plant data In-field observations Bibliographic data Data Spectrum: Extremely Heterogeneous (& Big)

9. WWW.BIGDATAGRAPES.EU Beneficiaries Wine producers, bottlers and distributors Producers and packagers of food and wine products Natural cosmetic companies

10. WWW.BIGDATAGRAPES.EU Partners & Roles Agroknow Greece Project Coordinator Architecture leader Dissemination leader Ontotext Bulgaria Semantic technologies leader CNR Italy Processing technologies leader KU Leuven Belgium Visualization leader Geocledian Germany Cross-pilot satellite data techs INRA France Wine pilot lead AUA Greece Table and wine grapes pilot lead ABACO Italy Farm Mng pilot lead SYMBEEOSIS Greece Natural cosmetics pilot lead

11. WWW.BIGDATAGRAPES.EU Pilot Cases Overview 11

12. WWW.BIGDATAGRAPES.EU Table and Wine Grapes Improve the quality of table and wine grapes

13. WWW.BIGDATAGRAPES.EU Wine Making Improve the quality of wine and support the efficient management of the vineyard

14. WWW.BIGDATAGRAPES.EU Farm Management Systems Improve the ability to take quick and informed decisions through FMS

15. WWW.BIGDATAGRAPES.EU Natural Cosmetics Informed selection of raw materials for producing better grape extracts used for cosmetics

16. WWW.BIGDATAGRAPES.EU Panagiotis Zervas Agroknow pzervas@agroknow.com @BigDataGrapes https://www.linkedin.com/groups/13574473 Thank you!! 16

Editor's Notes

The Grapevine Industry includes different stages and different stakeholders
Each stage includes different types of data that support taking different desicions
The decisions need to be taken with data from the different stages of the value chain of the Grapevine Industry
There are extremely large and heterogeneous data flows that need to be handled. This the main problem addressed by BigDataGrapes Project
Big data is becoming a hype that is going to completely redefine industries within very traditional sectors like agriculture, food and beauty. Big Data Grapes is an ICT project that aims to support European companies active in two key industries powered by grapevines: the wine industry and the natural cosmetics one to become more competitive in international markets. It also improves the competitive positioning of companies in the European IT sector that are serving companies and organisations with software applications, such as: Farm management and precision agriculture systems for vineyards Food risk assessment monitoring and prediction systems for companies in the food sector. Quality control and compliance software for companies in the beauty and cosmetics sector.
BDG is targeting technology challenges of the grapevine-powered data economy, as its business problems and decisions require processing, analysis and visualisation of data with rapidly increasing volume, velocity and variety: The project specifically tries to help companies across the grapevine-powered value chain ride the big data wave, supporting business decisions with real time and cross-stream analysis of very large, diverse and multimodal data sources. These data include satellite and weather data, environmental and geological data, phenotypic and genetic plant data, food supply chain data, economic and financial data and more.
The project involves the following types of commercial partners of the European grapevine-powered industries: Wine producers, bottlers and distributors that are managing large vineyards and are taking critical decisions that may affect (a) product lines, such as which grape varieties to combine in order to produce a new wine; or (b) production years. Producers and packagers of food and wine products using grape by-products as ingredients (such as raisins, must, vinegar and grape juice) who are continuously monitoring the quality of their product. Natural cosmetic companies that have product lines based on grapes and wine that are continuously testing the quality of the grape extracts which they are using as ingredients.
Improve the quality of raw materials based on data
Improve the ability to take quick decisions through farm management systems (e.g. when I am going to water my farm?)
Correlation of different quality biomarkers for producing better grape extracts used for cosmetics

The BigDataGrapes vision enabling global disruption of the grapevine-powered industries

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Editor's Notes