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