A pattern recognition strategy for visual grape bunch detection in vineyards

Author:

Pérez-Zavala Rodrigo,Torres-Torriti MiguelORCID,Cheein Fernando Auat,Troni Giancarlo

Funder

National Commission for Science and Technology Research of Chile

Publisher

Elsevier BV

Subject

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

Reference38 articles.

1. Real-time approaches for characterization of fully and partially scanned canopies in groves;Auat-Cheein;Comp. Electron. Agricult.,2015

2. Grape clusters and foliage detection algorithms for autonomous selective vineyard sprayer;Berenstein;Intell. Serv. Robot.,2010

3. Random search for hyper-parameter optimization;Bergstra;J. Mach. Learn. Res.,2012

4. Canadian Agricultural Human Resource Council, 2016. Agriculture 2025: How the Sector’s Labour Challenges Will Shape its Future, Tech. rep. Canadian Agricultural Human Resource Council.

5. Chamelat, R., Rosso, E., Choksuriwong, A., Rosenberger, C., Laurent, H., Bro, P., 2006. Grape detection by image processing. In: IECON 2006 - 32nd Annual Conference on IEEE Industrial Electronics, November. pp. 3697–3702.

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