Precision viticulture uses remote sensing from unmanned aerial vehicles to create vegetation maps that help grape growers optimize vineyard performance through selective harvesting and differential fertilization. Vineyard yield and quality vary significantly within fields due to soil and topographic differences, and these patterns are stable over time. Precision viticulture involves creating maps of these variations, then selectively harvesting higher quality areas or applying different amounts of fertilizer in different zones. Companies can help vineyards implement a closed-loop precision viticulture system through services like remote sensing, map processing, strategy development, and staff training.

1. Precision Viticulture
Turkey - Istanbul 2014
www.agriculturaluav.eu

2. The Facts
Research into vineyard variability and adoption of Precision Viticulture (PV)
is helping grapegrowers and winemakers optimise vineyard performance
according to yield, quality and natural resource management goals.
Grape yield typically varies eight to ten-fold in vineyards under uniform management
Patterns of yield variation are stable in time and are driven by soil or topographic variation
Patterns of variation in fruit quality tend to be similar to those for yield, suggesting
opportunities for zonal management and selective harvesting
Selective harvesting and product streaming may be highly profitable

3. Precision Viticulture Process

4. Our Process by Steps
1
2
3 4
5

5. Remote Sensing via UAV – Vegetation maps

6. Examples of derived maps and
their benefits:
-Selective Harvest
-Differential Fertilization

7. Selective Harvest (1)
Bramley, 2008

8. Bramley, 2008
Selective Harvest Benefits (2)

9. Cricco & Carnevali, 2013
Differential Fertilization
Cost savings when
applying a differential
fertilization strategy
against a traditional
one

10. Our Offering for a Closed Loop
PV application

11. How we can help you
 Definition of a PV Protocol suitable for Customer's needs / requirements
 Remote Sensing via UAVs for:
 Vegetation maps (VI, NDVI, GNDVI and others)
 Dense Point Clouds and Digital Elevation Model (DEM)
 PV Processes training on site with Customer's key staff
 On Site and Remote sessions, always supported by Customer's staff
 Processing of Derived Maps for taking full advantage from PV
 Implementation of agronomical strategies through prescription maps (manual or
VRT operations)
 Training on usage of GIS software tools

12. Thanks for Your Attention
Contact in Istanbul - Turkey
mailto info@agriculturaluav.eu