A benchmarking: Feature extraction and classification of agricultural textures using LBP, GLCM, RBO, Neural Networks, k-NN, and random forest - researchr publication references

researchr

You are not signed in
Sign in
Sign up

Sercan Aygun, Ece Olcay Günes. A benchmarking: Feature extraction and classification of agricultural textures using LBP, GLCM, RBO, Neural Networks, k-NN, and random forest. In 2017 6th International Conference on Agro-Geoinformatics, Fairfax, VA, USA, August 7-10, 2017. pages 1-4, IEEE, 2017. [doi]

No references recorded for this publication.

No citations of this publication recorded.

runs on WebDSL