Login | Request Account (DAF staff only)

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

Share this record

Add to FacebookAdd to LinkedinAdd to XAdd to WechatAdd to Microsoft_teamsAdd to WhatsappAdd to Any

Export this record

View Altmetrics

Dahal, K.C., Bhattarai, S.P., Kicherer, A., Oag, D. R. and Walsh, K.B. (2018) Assessment of ‘hen and chicken’disorder for marketable yield estimates of table grape using the ‘Berry Analysis Tool’. Vitis: Journal of Grapevine Research, 57 (1). pp. 27-34. ISSN 0042-7500

[img]
Preview
PDF
1MB

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

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.

Item Type:Article
Business groups:Crop and Food Science
Additional Information:Open access
Keywords:berry diameter; vine; image analysis; machine vision; Millerandage.
Live Archive:21 Nov 2018 01:27
Last Modified:02 Nov 2022 02:03

Repository Staff Only: item control page

Downloads

Downloads per month over past year

View more statistics