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General Information
Prof. Adrian Olaru
University Politehnica of Bucharest, Romania
I'm happy to take on the position of editor in chief of IJMO. It's a journal that shows promise of becoming a recognized journal in the area of modelling and optimization. I'll work together with the editors to help it progress.
IJMO 2017 Vol.7(4): 218-223 ISSN: 2010-3697
DOI: 10.7763/IJMO.2017.V7.587

Automatic Calf Feeder System

Mihaela Hnatiuc and Mugurel Caracostea

Abstract—Automatic calf feeder system is designed to replace the human work in several areas. Increasing the quality and quantity in zootechnic and agricultural productions can be achieved by using sensing tech to make farms intelligent. In this paper is presented the automatic and autonomous system for calf feeding, controlled with microcontroller card, sensors and software interface. In the dairy farming, replaced milk calf ratios are limited to one or two portions a day, in case of manual feeding. The fuzzy system used can predict the recipe of mixture using several input parameters as group, age, weight, behavior and speed of feeding. The input-output parameters are identified after testing of the automatic system described in the first part of the paper. The fuzzy technique is applied to determine the nutrition requirement and the quantity of food intake that needs to be fed, after a couple of days of using the system. Some important parameters of the feeding behavior of calves such as frequency, speed or ablactation time spent on feeding station, sets an alarm triggered into the system.

Index Terms—Automatic system, knowledge based system, feeding system, user interface, behavior identification.

The authors are with the Department of Electronic and Telecommunication, Electromechanics Faculty, Constanta Maritime University, Romania (e-mail: mihaela.hnatiuc@cmu-edu.eu, elmugur@gmail.com).


Cite: Mihaela Hnatiuc and Mugurel Caracostea, "Automatic Calf Feeder System," International Journal of Modeling and Optimization vol. 7, no. 4, pp. 218-223, 2017.

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