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Technical Report

Spatial Sampling of Fruit Maturity Reduces Sampling Costs for Winegrapes in California and New York

Coby Kanaipono Keiichi Chock, View ORCID ProfileManushi B. Trivedi, View ORCID ProfileJustine E. Vanden Heuvel
Am J Enol Vitic.  2024  75: 0750012  ; DOI: 10.5344/ajev.2024.23057
Coby Kanaipono Keiichi Chock
1Graduate Student, School of Integrative Plant Science, Horticulture Section, Cornell University, Ithaca, NY 14853;
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Manushi B. Trivedi
1Graduate Student, School of Integrative Plant Science, Horticulture Section, Cornell University, Ithaca, NY 14853;
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Justine E. Vanden Heuvel
2Professor, School of Integrative Plant Science, Horticulture Section, Cornell University, Ithaca, NY 14853.
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    Figure 1

    Images from Google satellite base layer taken for New York and California blocks. R20, 4C, and NDVI3 collection paths are overlayed on each of the images. R20, random sampling of 20 locations in a vineyard block; 4C, four corners sampling; NDVI3, satellite normalized difference vegetation index images processed with an algorithm to locate three consecutive pixels representing the left tail, center, and right tail of the NDVI pixel population.

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  • Table 1

    Vineyard block information reflecting block size, normalized difference vegetation index (NDVI) image date, and Kolmogorov-Smirnov (KS) value for NDVI3 for the six study blocks. NY, New York; CA, California; NDVI3, satellite NDVI images processed with an algorithm to locate three consecutive pixels representing the left tail, center, and right tail of the NDVI pixel population.

    Table 1
  • Table 2

    Assumptions related to the transportation method, sample collection, and variable costs used for calculating sampling costs of R20, 4C, and NDVI3. ATV, all terrain vehicle; CA, California; NY, New York; R20, random sampling of 20 locations in a vineyard block; 4C, four corners sampling; NDVI3, satellite normalized difference vegetation index (NDVI) images processed with an algorithm to locate three consecutive pixels representing the left tail, center, and right tail of the NDVI pixel population.

    Table 2
  • Table 3

    Variable costs per sampling event of cluster sampling in each trial block using R20, 4C, and NDVI3 sampling protocols. The sum of the variable costs per sampling event for each sample path is included and is used to calculate the total transportation cost of sampling using each method in each vineyard block. CA, California; NY, New York; R20, random sampling of 20 locations in a vineyard block; 4C, four corners sampling; NDVI3, satellite normalized difference vegetation index (NDVI) images processed with an algorithm to locate three consecutive pixels representing the left tail, center, and right tail of the NDVI pixel population.

    Table 3
  • Table 4

    Total cost savings per block, using NDVI3 compared to R20 and 4C, assuming an average of three, five, and nine fruit maturity sampling events per season. CA, California; NY, New York; R20, random sampling of 20 locations in a vineyard block; 4C, four corners sampling; NDVI3, satellite normalized difference vegetation index (NDVI) images processed with an algorithm to locate three consecutive pixels representing the left tail, center, and right tail of the NDVI pixel population.

    Table 4
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Open Access
Spatial Sampling of Fruit Maturity Reduces Sampling Costs for Winegrapes in California and New York
Coby Kanaipono Keiichi Chock, View ORCID ProfileManushi B. Trivedi, View ORCID ProfileJustine E. Vanden Heuvel
Am J Enol Vitic.  2024  75: 0750012  ; DOI: 10.5344/ajev.2024.23057
Coby Kanaipono Keiichi Chock
1Graduate Student, School of Integrative Plant Science, Horticulture Section, Cornell University, Ithaca, NY 14853;
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Manushi B. Trivedi
1Graduate Student, School of Integrative Plant Science, Horticulture Section, Cornell University, Ithaca, NY 14853;
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for Manushi B. Trivedi
Justine E. Vanden Heuvel
2Professor, School of Integrative Plant Science, Horticulture Section, Cornell University, Ithaca, NY 14853.
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for Justine E. Vanden Heuvel
  • For correspondence: justine@cornell.edu

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Spatial Sampling of Fruit Maturity Reduces Sampling Costs for Winegrapes in California and New York
Coby Kanaipono Keiichi Chock, View ORCID ProfileManushi B. Trivedi, View ORCID ProfileJustine E. Vanden Heuvel
Am J Enol Vitic.  2024  75: 0750012  ; DOI: 10.5344/ajev.2024.23057
Coby Kanaipono Keiichi Chock
1Graduate Student, School of Integrative Plant Science, Horticulture Section, Cornell University, Ithaca, NY 14853;
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Manushi B. Trivedi
1Graduate Student, School of Integrative Plant Science, Horticulture Section, Cornell University, Ithaca, NY 14853;
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for Manushi B. Trivedi
Justine E. Vanden Heuvel
2Professor, School of Integrative Plant Science, Horticulture Section, Cornell University, Ithaca, NY 14853.
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for Justine E. Vanden Heuvel
  • For correspondence: justine@cornell.edu
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