A vision-based hybrid approach for identification of Anthurium flower cultivars

Author:

Soleimanipour A.,Chegini G.R.

Publisher

Elsevier BV

Subject

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

Reference58 articles.

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3. Grapevine flower estimation by applying artificial vision techniques on images with uncontrolled scene and multi-model analysis;Aquino;Comput. Electron. Agric.,2015

4. Multi-template matching algorithm for cucumber recognition in natural environment;Bao;Comput. Electron. Agric.,2016

5. Belhumeur, P.N., Chen, D., Feiner, S., Jacobs, D.W., Kress, W.J., Ling, H., Lopez, I., Ramamoorthi, R., Sheorey, S., White, S., Zhang, L., 2008. Searching the world’s Herbaria: A system for visual identification of plant species, in: Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). pp. 116–129. https://doi.org/10.1007/978-3-540-88693-8-9.

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