Automatic fruit and vegetable classification from images

By Anderson de Rezende Rocha, Daniel Cabrini Hauagge, Jacques Wainer, Siome Klein Goldenstein. 2010

317 citations recorded by the source corpus.

Subfields: Biomedical Engineering, Media Technology, Plant Science

View Paper: https://www.semanticscholar.org/paper/4ca84359e3536e39e3b179f3b9579ed20201e9db

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Biomedical Engineering

1. Yudong Zhang
2. Anan Liu
3. Tao Mei

In Media Technology

1. Tao Mei
2. Wu Liu
3. Xinchen Liu
4. Yudong Zhang

In Plant Science

1. Yudong Zhang
2. Tao Mei
3. Lenan Wu

Citations in the corpus

• MetaSearch: Incremental Product Search via Deep Meta-Learning (2020, methodology): “Rocha et al. [41] proposed a unified method that combined a group of features and classifiers while requiring less training, in which all features from a supermarket product dataset were simply concatenated and independently fed to each classifier.”
• Classification of Fruits Using Computer Vision and a Multiclass Support Vector Machine (2012, background): “Another solution is to issue the cashier an inventory with pictures and codes, however, flipping over the booklet is time consuming [1].”