Robust Approach for Fruit and Vegetable Classification

Automatic fruit and vegetable classification from images

Contemporary Vision and Pattern Recognition problems such as face recognition, fingerprinting identification, image categorization, and DNA sequencing often have an arbitrarily large number of classes and properties to consider. To deal with such complex problems using just one feature descriptor is a difficult task and feature fusion may become mandatory. Although normal feature fusion is quit...

Fruit and Vegetable Flavor

Introduction: The quality of fresh produce has traditionally been based on external characteristics of size, color, and absence of surface defects. Fruit and vegetable breeders selected for color, size, disease resistance, yield and other easily quantified horticultural traits. Because flavor and texture characteristics were not a part of the selection process, improvements in these quality att...

Fruit and vegetable consumption.

OBJECTIVES This article focuses on associations between the frequency of fruit and vegetable consumption and other health-related behaviours or conditions, including physical activity, smoking, obesity and alcohol-dependence. DATA SOURCE The data are from the first half of cycle 1.1 of the Canadian Community Health Survey, collected from September 2000 through February 2001. ANALYTICAL TECH...

Fruit and vegetable consumption in Malaysia: a count system approach

Windbreaks for Fruit and Vegetable Crops

EC1763 How Windbreaks Work EC1764 Windbreak Establishment EC1766 Windbreaks for Livestock Operations EC1767 Windbreaks for Rural Living EC1768 Windbreak Management EC1770 Windbreak for Snow Management EC1771 Windbreaks and Wildlife EC1772 Windbreaks in Sustainable Agricultural Systems EC1777 Windbreak Renovation EC1778 Field Windbreaks EC1779 Windbreaks for Fruit and Vegetable Crops University ...