| Autor: |
Montalván S; Smart Lab, Escuela Politécnica Nacional, Quito 170143, Ecuador., Arcos P; Smart Lab, Escuela Politécnica Nacional, Quito 170143, Ecuador.; Departamento de Informática y Ciencias de la Computación, Escuela Politécnica Nacional, Quito 170143, Ecuador., Sarzosa P; Smart Lab, Escuela Politécnica Nacional, Quito 170143, Ecuador.; Departamento de Informática y Ciencias de la Computación, Escuela Politécnica Nacional, Quito 170143, Ecuador., Rocha RA; Smart Lab, Escuela Politécnica Nacional, Quito 170143, Ecuador.; Departamento de Informática y Ciencias de la Computación, Escuela Politécnica Nacional, Quito 170143, Ecuador., Yoo SG; Smart Lab, Escuela Politécnica Nacional, Quito 170143, Ecuador.; Departamento de Informática y Ciencias de la Computación, Escuela Politécnica Nacional, Quito 170143, Ecuador.; Departamento de Ciencias de la Computación, Universidad de las Fuerzas Armadas ESPE, Quito 171103, Ecuador., Kim Y; Department of Semiconductor Engineering, Myongji University, Yongin-si 17058, Republic of Korea. |
| Abstrakt: |
This article presents a systematic literature review of technologies and solutions for cattle tracking and monitoring based on a comprehensive analysis of scientific articles published since 2017. The main objective of this review is to identify the current state of the art and the trends in this field, as well as to provide a guide for selecting the most suitable solution according to the user's needs and preferences. This review covers various aspects of cattle tracking, such as the devices, sensors, power supply, wireless communication protocols, and software used to collect, process, and visualize the data. The review also compares the advantages and disadvantages of different solutions, such as collars, cameras, and drones, in terms of cost, scalability, precision, and invasiveness. The results show that there is a growing interest and innovation in livestock localization and tracking, with a focus on integrating and adapting various technologies for effective and reliable monitoring in real-world environments. |
