Development and implementation of a fish counter by using an embedded system

Author:

Hernández-Ontiveros J.M.,Inzunza-González E.,García-Guerrero E.E.,López-Bonilla O.R.,Infante-Prieto S.O.,Cárdenas-Valdez J.R.,Tlelo-Cuautle E.

Publisher

Elsevier BV

Subject

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

Reference25 articles.

1. Agrawal, N., Singhal, S., 2015. Smart Drip Irrigation System using Raspberry Pi and Arduino.In: International Conference on Computing, Communication and Automation (ICCCA), pp. 928–932.

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3. Fish population estimation and species classification from underwater video sequences using blob counting and shape analysis;Fabic;IEEE Int. Underwater Technol. Symp. (UT),2013

4. Automate fry counting using computer vision and multi-class least squares support vector machine;Fan;Aquaculture,2013

5. Ferrero, F., Campo, J., Valledor, M., Hernando, M., 2014. Optical systems for the detection and recognition of fish in Rivers. In: 11th International Multi-Conference on Systems, Signals & Devices (SSD), pp. 1–5.

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