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

Zugehörigkeit
Institute for Future Farming Systems, Central Queensland University, Rockhampton, Australia
Dahal, K. C.;
Zugehörigkeit
Institute for Future Farming Systems, Central Queensland University, Rockhampton, Australia
Bhattarai, S. P.;
GND
1059151588
Zugehörigkeit
Julius Kühn-Institute (JKI), Federal Research Centre for Cultivated Plants, Institute for Grapevine Breeding, Siebeldingen, Germany
Kicherer, Anna;
Zugehörigkeit
Department of Agriculture and Fisheries, QLD Government, Australia
Oag, D. R.;
Zugehörigkeit
Institute for Future Farming Systems, Central Queensland University, Rockhampton, Australia
Walsh, K. B.

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 length and r2 = 0.99 on bunch weight. Based on an allometric relationship between linear 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 of 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.

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