Texture-based fruit detection

Author:

Chaivivatrakul Supawadee,Dailey Matthew N.

Publisher

Springer Science and Business Media LLC

Subject

General Agricultural and Biological Sciences

Reference33 articles.

1. Aggelopoulou, A., Bochtis, D., Fountas, S., Swain, K., Gemtos, T., & Nanos, G. (2011). Yield prediction in apple orchards based on image processing. Precision Agriculture, 12(3), 448–456.

2. Bansal, R., Lee, W., & Satish, S. (2012). Green citrus detection using fast Fourier transform (FFT) leakage. Precision Agriculture, 14(1), 59–70.

3. Bay, H., Ess, A., Tuytelaars, T., & Van Gool, L. (2008). Speeded-up robust features (SURF). Computer Vision and Image Understanding, 110(3), 346–359.

4. Calonder, M., Lepetit, V., Strecha, C., & Fua, P. (2010). BRIEF: Binary robust independent elementary features. In Daniilidis, K., Maragos, P., Paragios, N. (Eds.), Proceedings of the European Conference on Computer Vision (pp. 778–792). Heidelberg: Springer.

5. Chang, C.C., & Lin, C.J. (2001). LIBSVM: A library for support vector machines. Retrieved March 12, 2014, from http://www.csie.ntu.edu.tw/~cjlin/libsvm .

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