July 18 Shaulis Symposium: Digital Viticulture: New Tools for Precision Management

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Session 1:  Vine Balance and Precision Viticulture

The concept of balancing vegetative growth and cropping levels for sustained production – is a key organizing principle of viticulture and vineyard management.  Growers have lacked the tools to apply this principle on a vine-by-vine basis to manage variable vineyards. New tools are converging to give growers the capacity to address variability through three steps: Measure, Model, and Manage.

What Nelson Shaulis taught us. Andy Reynolds, Professor of Viticulture, Brock University

The physiology of vine balance. Justine Vanden Heuvel, Associate Professor, Section of Horticulture, School of Integrative Plant Science, Cornell University

New Metrics: Examining Grapevine Response to Crop Load Through A Different Lens.  Nick Dokoozlian, Vice President, E & J Gallo

The promise of precision agriculture. James Taylor, Senior Researcher, IRSTEA, Montpelier, France

Session 2:  Measurement

New metrics from sensors, UAVs (Drones), satellites, and analytical technologies are becoming available to growers. What do they measure, and how can growers and buyers use the information?

From NDVI to multispectral sensors for canopy metrics, including early disease detection. Katie Gold, University of Wisconsin, Madison

Mapping vineyard soils using proximal sensors. Jackie Dresser, Efficient Vineyard project, Cornell University

3-D Image processing for cluster and berry counts. George Kantor, Sr. Systems Scientist, Carnegie Mellon University

What’s in a pixel: Satellite and drone imagery for crop estimation. Jim Meyers, Cornell Cooperative Extension, Eastern NY Commercial Horticulture program

Nanotensiometers for measuring vine water status.  Alan Lakso, Cornell University

Ultrasonic sensors for variable rate spray applications.  Andrew landers, Cornell University, Tomas Palleja Cabre University of Lleida (Spain), Jordi Llorens, Research Group in AgroICT and Precision Agriculture, Lleida, Spain and Tim Martinson (Presenter), Cornell University

Session 3:  Modeling

Translating a flood of data into management decisions.

How we process spatial data and validate what our sensors measure
How spatial data is turned into ‘management zones’
James Taylor, Senior researcher, IRSTEA, University of Montpelier, France

Making it user-friendly: Platforms for integrating information into decision-support systems with software-defined farming.   Hakim Weatherspoon, Associate Professor of Computer Science, Cornell University

Session 4: Management:

How mechanization and varying management within blocks will save labor, and increase profitability and/or quality

A year in the life of a highly mechanized Washington State vineyard. Richard Hoff, Director of Viticulture, Mercer Ranches, Prosser WA.

The Efficient Vineyard Project in California and New York: Integrating spatial crop load and soil mapping into practical management plans.  Terry Bates, Director, Cornell Lake Erie Research and Extension Laboratory, Cornell University