Robust pixel-based classification of obstacles for robotic harvesting of sweet-pepper

Author:

Bac C.W.,Hemming J.,van Henten E.J.

Publisher

Elsevier BV

Subject

Horticulture,Computer Science Applications,Agronomy and Crop Science,Forestry

Reference36 articles.

1. Bac, C.W., Hemming, J., Van Henten, E.J., 2013a. Pixel classification and post-processing of plant parts using multi-spectral images of sweet-pepper. In: IFAC Biorobotics Conference, 27–29 March 2013, Sakai, Japan.

2. Bac, C.W., Van Henten, E.J., Hemming, J., Edan, Y., submitted for publication. Harvesting Robots for High-value Crops: State-of-the-art Review and Challenges Ahead. Wageningen University and Research Centre, Wageningen, The Netherlands.

3. Selection of relevant features and examples in machine learning;Blum;Artificial Intelligence,1997

4. Classification and Regression Trees;Breiman,1984

5. A multispectral imaging analysis for enhancing citrus fruit detection;Bulanon;Environmental Control in Biology,2010

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