DEFINITION, ANALYSIS AND MONITORING OF WINE QUALITY
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DEFINITION, ANALYSIS AND
MONITORING OF WINE QUALITY
NEW TOOLS AND NEW INDICATORS TO
CHARACTERIZE QUALITY FROM GRAPE TO WINE.
SENSORS, DATA ANALYSIS, DECISION MAKING TOOLS.
CARLO DE BIASI
VICE PRESIDENT ASS. LIEN DE LA VIGNE – PARIS
DIRETTORE CANTINA TOBLINO
VINELINK INTERNATIONAL
LIEN DE LA VIGNE
Innovations in the
Innovations dans la filière vin
international
internationale
wine sector
LIEN DE LA VIGNE
IS INDEPENDENT OF ANY PUBLIC OR PRIVATE INTERESTS, AND FULLY COMMITTED TO
THE TECHNOLOGICAL EVOLUTION OF THE WINE – SECTOR
ONE MISSION: To promote innovation and technological cooperation in the Wine Sector
TWO COLLEGES of members: A, Wine Professionals College (P), and B, College of Public Research Scientists
(S)
THREE MAJOR MODES of ACTION:
· Worldwide Consultation of the wine-sector (annual, involving P and S); on high priorities themes for
directing the effort of the wine-sector
· Scientific Conference (annual), most of the time to report and analyze the results of the Wine-sector
Consultation
· Research Programs (P and S), to organize collaborative actions on
high priority themes to the final benefit of the wine-sector
www.liendelavigne.org
VINELINK INTERNATIONAL
LIEN DE LA VIGNE
Innovations in the
Innovations dans la filière vin
international
internationale
wine sector
2015 – 2016 DEFINITION, ANALISYS AND MONITORING OF WINE QUALITY.
New tools and new indicators to characterize quality from grape to wine.
Integration in a decision process to respond to product objectives
2016 – 2017 NEW TOOLS FOR MONITORING GRAPE QUALITY.
Sensors, data analisys, decision making tools.
2017 – 2018 MODERN TOOLS FOR DETECTION - PREVISION OF GRAPEVINES RISK.
Diseases, pests, climate risks.
SUSTAINABLE INNOVATION • Technique
• Agronomic
• Defense
• Mechanics
• Genetics
• Rootstock
• New resistant varieties
• Epigenetics?
• Technology
• Satellites
• Sensors
• Robots and drones
• DSS
• Precision viticulture
• IT platforms
TECHNOLOGICAL GROWTH FACTORS
Computerization
IoT
Big Data
Technology costs
Calculation power
Artificial intelligence
Start up
DATA ACQUISITION REMOTE SENSING PROXIMAL SENSING
SATELLITES ESA Sentinel 2
• 2 satellites
• Pass every 5 days
• Relief 10 x 10 m
• Free and open data
Landsat
Other satellites (for a fee)
• Rapideye
• Pleiade
• Kompsat
• Ikonos
• QuickBird
• WorldView
• GeoEye
PRECISION FARMING
Meccanizzazio
ne
• Concimazione
• Vendemmia
• Sfogliatura
• Trattamenti
Qualità
Risparmi
Tracciabilità
PROXIMAL SENSING Oenoview
Winéo
Robot e Droni Fruition NDVI
Camerà Multi
Spektra
Spec Terra Imag.
Mecs Vine
Greenseeker
Geocarta
Lidar Chaif
Ultraso
unds FA-
Machin Sense
e vision ANTH
RGB
Camera
Map the territories and vineyards on a large scale
Maps of force - yellow maps - production estimates
Soil resistance
PROXIMAL SENSING Dualex
Multiplex
Hyper-technological sensors Viticanopy
Physiocap
® Greenseeker
Dualex : Qualiris Grappe
Chlorophyll RotBot
Flavonols Spectron
N-tester
Anthocyanins Luminar
Proximal sensors: leaves and fruits
®
Multiplex :
Chlorophyll
Flavonols
Anthocyanins
Stilbenes
Precise analysis on indices of maturation and vegetative development
and mineral nutritionPROXIMAL SENSING
Smart grappe
Smart system Vitis flower
SMARTGRAPPE
Low cost support
Controlled lighting conditions
Constant distance to the scene
Reference targets inside
Work on any smartphone (IOS, Android,
Win10…)
Contactless = non destructive
Data provided
Berries size, color and surface defect
Number of berries / surface unit
Smart systems to be used during normal vineyard activities
(grape size, color, number of flowers and grapes per bunch)PROXIMAL SENSING Sensors Sap Flow Sensors
Epicure
DISEASE RISK SYSTEM Optidose
Vite.Net
Quad. CampagnaTECHNOLOGICAL PLATFORMS
Big Data
• Registrazione
• Georeferenziazione
• Integrazione diverse fonti
• Standardizzazione
• ElaborazioneFunzionalità
• Cartografia
• Raccolta dati (sensori, rilievi,
storico)
• Satelliti (meteo, vigore)
• Quaderno di Campagna
• Modelli previsionali
• DSS
• Costi di produzione
• Programmazione
• Gestione macchine
• Viticoltura di precisione
• Analisi
• ReportisticheTECHNOLOGICAL PLATFORMS CANTINA TOBLINO 878 HA VINEYARDS IN THE MOUNTAIN BETWEEN LAKE GARDA & DOLOMITES 636 VINEGROWERS VERY FRAGMENTED VINEYARD VERY HETEROGENEOUS TERRITORY: CLIMATE AND LAND HARVEST BY HAND
TECHNOLOGICAL PLATFORMS The idea to realize PICA was born to enhance the potential of local winemaking through the research and study of the local context, with the following objectives: 1 - qualify the productions (segmentation of the offer) through the creation of advanced systems of connection between the basic components of the wine production system, the "plant - climate - soil" complex. 2 - to qualify the management systems of the "environment-landscape-territory" component, with a view to total sustainability that takes into due consideration the three spheres of the aspects: ecological, social and economic.
TECHNOLOGICAL PLATFORMS PICA is an important decision support tool for Trentino's technicians and winemakers, which makes it possible to tackle the most important choices with a scientific approach: - variety best suited for each growing environment - choice of rootstocks - optimal time for the harvest - antiparasitic defense strategies - Indications on times and ways to irrigate (available for plant Design and management)
CLIMATE & SOIL ANALISYS
IRRIGATION MANAGEMENT SOFTWARE IRRI4WEB+
HARVEST MANAGEMENT
SOFTWARE HARVASSIST
Automatic connection to pre-
laboratory analysis and cartographyNEWSLETTER - WARNING
DISEASE MONITORING
APP PICA PILOTSUMMARY
HARVASSIST - Fruitipy
CLIMA ANALISYS DISEASE MONITORING
IRRIGATIONS SYSTEM
SOIL ANALISYS DATA INFORMATION DECISIONS
Pruning
Ability to take decisions
Fertilisation
Canopy management
Irrigation
Treatments
Harvest
Vinification
Too less INFORMATION Too much
DATA are not INFORMATION
INFORMATION is not DECISIONS
VITICULTURE IS BASED ON DECISIONS AND NOT ON DATADECISIONAL PROCESSES
•Le decisioni sono sempre
dell'agronomo
• L'agronomo ha sempre più
strumenti per decidere
correttamente e con
tempestività
• L'agronomo deve imparare a
gestire le informazioni e
raccogliere i dati
• Per fare questo deve imparare
a usare le tecnologie
VITICULTURE IS BASED ON DECISIONS AND NOT ON DATA
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