
Mobile application for the optimization of milk production and goat feeding processes: Experimental farm of Universidad Francisco de Paula Santander, Ocaña, Colombia
Author(s) -
Dewar Rico-Bautista,
Edwin Barrientos-Avendaño,
Fabián Cuesta-Quintero,
Luis Anderson Coronel-Rojas,
J Trillos-Arenas,
D Hernadez-Villamizar
Publication year - 2019
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1388/1/012028
Subject(s) - traceability , production (economics) , mobile apps , identification (biology) , control (management) , operations management , computer science , process management , agricultural science , engineering , software engineering , environmental science , biology , artificial intelligence , world wide web , economics , ecology , macroeconomics
The main objective of this article is to show the phases of the development of a mobile application. It allows to give support to the optimization of the milk production and goats feeding processes in the experimental farm of the “Universidad Francisco de Paula Santander, Seccional Ocaña”. In the first phase, an analysis was made of the different manual processes under physical formats currently carried out by the goat project manager, allowing the raising of system requirements. In the second, the systematization of information capture through user-friendly interfaces on a Mobile App is carried out. In the final phase, the processes were validated with the application impact. The features allowed a notable improvement in the processes execution. The goat project managers were able to have greater control of the information and a clearer focus on how productive each goat has been. As a result, the consultations, reports, traceability and identification of procedures and sanitary interventions to each one of the goats were speeded up. In the same way, it is possible to generate a support tool for decision making in all aspects of the administration of the experimental farm.