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Two methods for processing yield maps from multiple sensors in large vineyards in California

Published online by Cambridge University Press:  01 June 2017

B. Sams ,
C. Litchfield ,
L. Sanchez  and
N. Dokoozlian
B. Sams*
Affiliation:
E&J Gallo Winery, 600 Yosemite Blvd, Modesto, CA, USA, 95354
C. Litchfield
Affiliation:
E&J Gallo Winery, 600 Yosemite Blvd, Modesto, CA, USA, 95354
L. Sanchez
Affiliation:
E&J Gallo Winery, 600 Yosemite Blvd, Modesto, CA, USA, 95354
N. Dokoozlian
Affiliation:
E&J Gallo Winery, 600 Yosemite Blvd, Modesto, CA, USA, 95354
*
† E-mail: brent.sams@ejgallo.com
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Abstract

Yield mapping techniques have only recently started to be implemented by the Californian wine grape industry, but the advancement has necessitated new processing methods for large vineyards. The process for mapping large blocks harvested with multiple machines has only recently occurred and implies that their yield monitors have to be calibrated and corrected to the same scale. Here we discuss two methods for processing yield maps at the commercial level. Method 1 depends on many calibrations with delivered fruit weight to a winery. Method 2 normalizes raw files automatically can reduce total processing time by up to 90%.

Keywords

Yield mappingmean comparisonvineyard variability
Type
Precision Horticulture and Viticulture
Information
Advances in Animal Biosciences , Volume 8 , Special Issue 2: Papers presented at the 11th European Conference on Precision Agriculture (ECPA 2017), John McIntyre Centre, Edinburgh, UK, July 16–20 2017 , July 2017 , pp. 530 - 533
Copyright
© The Animal Consortium 2017 

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