definition analysis and monitoring of ine ualitydefinition, 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
LIEN DE LA VIGNE
Innovations dans la filière vin
internationale
VINELINK INTERNATIONAL
Innovations in the
international
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
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.
LIEN DE LA VIGNE
Innovations dans la filière vin
internationale
VINELINK INTERNATIONAL
Innovations in the
international
wine sector
• Technique • Agronomic
• Defense
• Mechanics
• Genetics • Rootstock
• New resistant varieties
• Epigenetics?
• Technology • Satellites
• Sensors
• Robots and drones
• DSS
• Precision viticulture
• IT platforms
SUSTAINABLE INNOVATION
TECHNOLOGICAL GROWTH FACTORS
Computerization
IoT
Big Data
Technology costs
Calculation power
Artificial intelligence
Start up
DATA ACQUISITION
REMOTE SENSING
PROXIMAL SENSING
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
SATELLITES
Meccanizzazio
ne • Concimazione
• Vendemmia
• Sfogliatura
• Trattamenti
Qualità
Risparmi
Tracciabilità
PRECISION FARMING
Robot e Droni
Machin
e vision
RGB
Camera
Ultraso
unds FA-
Sense
ANTH
Map the territories and vineyards on a large scale
Maps of force - yellow maps - production estimates
Soil resistance
Oenoview
Winéo
Fruition NDVI
Camerà Multi
Spektra
Spec Terra Imag.
Mecs Vine
Greenseeker
Geocarta
Lidar Chaif
PROXIMAL SENSING
Hyper-technological sensors
Dualex®:
Chlorophyll
Flavonols
Anthocyanins
Multiplex®:
Chlorophyll
Flavonols
Anthocyanins
Stilbenes
Proximal sensors: leaves and fruits
Precise analysis on indices of maturation and vegetative development
and mineral nutrition
Dualex
Multiplex
Viticanopy
Physiocap
Greenseeker
Qualiris Grappe
RotBot
Spectron
N-tester
Luminar
PROXIMAL SENSING
Smart system
S M A R T G R A P P E L o w c o s t s u p p o r t
Controlled lighting conditions Constant distance to the scene Reference targets inside Work on any smartphone (IOS, Android,
Win10…) Contactless = non destructive
D a t a p r o v i d e d 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)
Smart grappe
Vitis flower
PROXIMAL SENSING
Sensors
Sap Flow Sensors
PROXIMAL SENSING
DISEASE RISK SYSTEM Epicure
Optidose
Vite.Net
Quad. Campagna
Big Data
• Registrazione
• Georeferenziazione
• Integrazione diverse fonti
• Standardizzazione
• Elaborazione
TECHNOLOGICAL PLATFORMS
Funzionalità • 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
• Reportistiche
TECHNOLOGICAL 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
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)
TECHNOLOGICAL PLATFORMS
CLIMATE & SOIL ANALISYS
IRRIGATION MANAGEMENT SOFTWARE IRRI4WEB+
Automatic connection to pre-laboratory analysis and cartography
HARVEST MANAGEMENT
SOFTWARE HARVASSIST
NEWSLETTER - WARNING
DISEASE MONITORING
APP PICA PILOT
IRRIGATIONS SYSTEM
HARVASSIST - Fruitipy
CLIMA ANALISYS
SOIL ANALISYS
SUMMARY
DISEASE MONITORING
DATA INFORMATION DECISIONS
Too less INFORMATION Too much
Abilit
y t
o t
ake d
ecis
ions Pruning
Fertilisation
Canopy management
Irrigation
Treatments
Harvest
Vinification
DATA are not INFORMATION
INFORMATION is not DECISIONS
VITICULTURE IS BASED ON DECISIONS AND NOT ON DATA
• 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
disponibili
DECISIONAL PROCESSES
VITICULTURE IS BASED ON DECISIONS AND NOT ON DATA