Computational System to Support Bovine Nutritional Behavior

Olavo J. Luiz, Vanessa Aparecida de Moraes Weber, Maria Istela Cagnin, Sérgio Raposo de Medeiros, Rodrigo da Costa Gomes, Leiliane Cristine de Souza and Débora Maria Barroso Paiva
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Olavo J. Luiz: IFPR, Assis Chateaubriand, Brazil
Vanessa Aparecida de Moraes Weber: UCDB and UEMS, Campo Grande, Brazil
Maria Istela Cagnin: Universidade Federal de Mato Grosso do Sul, Campo Grande, Brazil
Sérgio Raposo de Medeiros: Embrapa Gado de Corte, Campo Grande, Brazil
Rodrigo da Costa Gomes: Embrapa Gado de Corte, Campo Grande, Brazil
Leiliane Cristine de Souza: IFPR, Assis Chateaubriand, Brazil
Débora Maria Barroso Paiva: Universidade Federal de Mato Grosso do Sul, Campo Grande, Brazil

International Journal of Agricultural and Environmental Information Systems (IJAEIS), 2018, vol. 9, issue 3, 22-37

Abstract: Computational methodologies and techniques are increasingly being used for agricultural purposes in recent years. This article presents a computational system composed of hardware and software elements that can be used in the Precision Livestock area. The objective is to support the management of the operation of providing nutritional supplements: a hardware module identifies the visits of the animals to the troughs and transmits the data to a software module, which processes them and generates reports to support decision-making. A case study indicated the viability of the solution and advantages of the system: portability and flexibility in the expansion of the functionalities through modularization, for less than one tenth of the cost of the current solutions available.

Date: 2018
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Persistent link: https://EconPapers.repec.org/RePEc:igg:jaeis0:v:9:y:2018:i:3:p:22-37

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