/ Facultad de Filología, Universidad de Belgrado

Edición:

Tm. 66 (2025), No. 1

Tm. 65 (2024), No. 2

Tm. 65 (2024), No. 1

Tm. 64 (2023), No. 3

Tm. 64 (2023), No. 2

Tm. 64 (2023), No. 1

Tm. 63 (2022), No. 2

Tm. 63 (2022), No. 1

Tm. 62 (2021), No. 2

Tm. 62 (2021), No. 1

Tm. 61 (2020), No. 2

Tm. 61 (2020), No. 1

Tm. 60 (2019), No. 2

Tm. 60 (2019), No. 1

Tm. 59 (2018), No. 2

Tm. 59 (2018), No. 1

Meat Technology, Tm. 64 (2023), No. 1


1.
https://doi.org/10.18485/meattech.2023.64.1.1
Detallado
2.
Determination of Quality Properties of Sucuk Produced Using Cattle Head Meat

Recep Kara

Meat Technology, 2023. - Tm. 64, No. 1, p. 13–19

https://doi.org/10.18485/meattech.2023.64.1.2
Detallado
3.
Intrinsic and Extrinsic Factors Impacting Fresh Goat Meat Quality: An Overview

Mohammed Gagaoua
Laura Alessandroni
Annada Das
Melisa Lamri
Dipanwita Bhattacharya
Pramod Kumar Nanda
Arun K Das

Meat Technology, 2023. - Tm. 64, No. 1, p. 20–40

https://doi.org/10.18485/meattech.2023.64.1.3
Detallado
4.
The Profitability of the Meat Industry in Serbia: Did the COVID-19 Pandemic Have Any Impact?

Olivera Mijailović
Maja Kljajić
Vule Mizdraković
Nataša Kilibarda

Meat Technology, 2023. - Tm. 64, No. 1, p. 41–49

https://doi.org/10.18485/meattech.2023.64.1.4
Detallado
5.
Mind over Palate: Unveiling the Role of Neuromarketing in the Food Industry

Ivana Brdar

Meat Technology, 2023. - Tm. 64, No. 1, p. 50–60

https://doi.org/10.18485/meattech.2023.64.1.5
Detallado
6.
Application of Machine Learning Technology to Management Methods

Andrey B. Lisitsyn
Irina M. Chernukha
Xinqing Xiao
Marina A. Nikitina
Victoria A. Pchelkina

Meat Technology, 2023. - Tm. 64, No. 1, p. 61–70

https://doi.org/10.18485/meattech.2023.64.1.6
Detallado