vitisFlower®: Development and Testing of a Novel Android-Smartphone Application for Assessing the Number of Grapevine Flowers per Inflorescence Using Artificial Vision Techniques

Counting red grapes in vineyards by detecting specular spherical reflection peaks in RGB images obtained at night with artificial illumination

(2014) D. Font et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Automated Visual Yield Estimation in Vineyards

(2014) Stephen Nuske et al.   Journal of Field Robotics

Automated image analysis framework for high-throughput determination of grapevine berry sizes using conditional random fields

(2013) Ribana Roscher et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Assessment of flower number per inflorescence in grapevine by image analysis under field conditions

(2013) Maria P Diago et al.   JOURNAL OF THE SCIENCE OF FOOD AND AGRICULTURE

Grapevine Yield and Leaf Area Estimation Using Supervised Classification Methodology on RGB Images Taken under Field Conditions

(2012) Maria-Paz Diago et al.   SENSORS

A research note on the occurrence of ‘star’ flowers in grapevines: Observations during the 2003-2004 growing season

(2010) MARDI L. LONGBOTTOM et al.   AUSTRALIAN JOURNAL OF GRAPE AND WINE RESEARCH

Yield prediction from digital image analysis: A technique with potential for vineyard assessments prior to harvest

(2010) GREGORY M. DUNN et al.   AUSTRALIAN JOURNAL OF GRAPE AND WINE RESEARCH

Classification of reproductive performance of ten winegrape varieties

(2010) P.R. DRY et al.   AUSTRALIAN JOURNAL OF GRAPE AND WINE RESEARCH

Response of fruitset and other yield components to shoot topping and 2-chlorethyltrimethyl-ammonium chloride application

(2009) C. COLLINS et al.   AUSTRALIAN JOURNAL OF GRAPE AND WINE RESEARCH

Plant management research: status and what it can offer to address challenges and limitations

(2009) P.R. CLINGELEFFER   AUSTRALIAN JOURNAL OF GRAPE AND WINE RESEARCH