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

作者：Dahal K. C.; Bhattarai S. P.; Kicherer A.; Oag D. R.; Walsh K. B.^*

来源：Vitis, 2018, 57(1): 27-34.

DOI：10.5073/vitis.2018.57.27-34

• berry diameter
• vine
• image analysis
• machine vision
• "Millerandage"

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 r(2) = 0.99 on berry number per bunch, r(2) = 0.98 on average berry minor axis length and r(2) = 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.

• 出版日期2018