Assessment of ‘hen and chicken’ disorder for marketable yield estimates of table grape using the ‘Berry Analysis Tool’

Authors

  • K. C. Dahal Institute for Future Farming Systems, Central Queensland University, Rockhampton, Australia
  • S. P. Bhattarai Institute for Future Farming Systems, Central Queensland University, Rockhampton, Australia
  • A. Kicherer Julius Kühn-Instiute (JKI), Federal Research Centre for Cultivated Plants, Institute for Grapevine Breeding Geilweilerhof, Siebeldingen, Germany
  • D. R. Oag Department of Agriculture and Fisheries, QLD Government, Australia
  • K. B. Walsh Institute for Future Farming Systems, Central Queensland University, Rockhampton, Australia

DOI:

https://doi.org/10.5073/vitis.2018.57.27-34

Keywords:

berry diameter; vine; image analysis; machine vision; Millerandage.

Abstract

Bunch and berry size are important quality criteria for table grapes, and bunch weight is used in estimation of vine yield. The Berry Analysis Tool (BAT), a machine vision technique, was trialled for use in estimation of berry count, diameter and weight, to support estimates of ‘hen and chicken’ disorder and vineyard yield. Berries were spread on a plate for imaging. BAT estimates achieved a r2 = 0.99 on berry number per bunch, r2 = 0.98 on average berry minor axis and r2 = 0.99 on bunch weight. Based on an allometric relationship between lineal dimensions and weight, these attributes were used to estimate the proportion of under-size (‘chicken’) berries per bunch, and bunch weight. The estimated bunch weight multiplied by a number bunches per vine provides an estimation of vine yield. Use of the BAT as a decision support tool in table grape farm management is described.

Author Biographies

  • K. C. Dahal, Institute for Future Farming Systems, Central Queensland University, Rockhampton, Australia

    Student

    Institute for Future Farming Systems

  • S. P. Bhattarai, Institute for Future Farming Systems, Central Queensland University, Rockhampton, Australia

    Research fellow, Institute for future farming systems

  • D. R. Oag, Department of Agriculture and Fisheries, QLD Government, Australia

    Principal research scientist, Department of Agriculture and Fisheries, QLD Government

  • K. B. Walsh, Institute for Future Farming Systems, Central Queensland University, Rockhampton, Australia

    Professor, Institute for future farming systems.

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Published

2018-03-23

Issue

Vol. 57 No. 1 (2018): Vitis

Section

Article

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