Literary Review: Coffee Technologies

Author:

Perdomo Maria Elena,Magomedov Islam,Anokhina Olga

Abstract

The following article is focused on technologies that can be used to increase or improve the production of coffee. In the modern days the most popular drink can be considered coffee. Its consumption is increasing each year with the increase of population of the planet. Therefore, it is important to use throughout the whole process of getting to the final product of coffee the best available techniques. The objective of this work is to review in the literature different technologies applied to coffee. Authors conclude that technologies that improve crop yields such as artificial intelligence are novel and need to be implemented. On the other hand, the production processes have robust machinery that is well known to coffee growers. Finally, the laboratory technologies to measure the phytochemical qualities of the coffee should be further refined to guarantee the results.

Publisher

EDP Sciences

Subject

General Medicine

Reference12 articles.

1. Variabilidad espacial de los atributos químicos del suelo en el rendimiento y calidad de café

2. Flores Chávez M. A., Rodríguez Castro J. F., Diseño e implementación de un sistema de riego por goteo automatizado para el cultivo del café usando tecnología de microcontrolador y estableciendo un sistema de control inalámbrico en la comunidad de Totogalpa [Facultad de Electrotecnia y Computación]. Universidad Nacional de Ingenierí (2018).

3. Quispe Tapara H., Diseño de un sistema de riego automatizado por aspersión para viveros de café utilizando la tecnología arduino en la empresa viveros ortíz – pasco; 2018. Universidad Católica los Ángeles de Chimbote (2018).

4. Abad Alameda A., Diseño e implementación de un sistema de seguimiento de parámetros ambientales en plantaciones de café [Master]. Universidad de Piura (2016).

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1. Training of a Convolutional Neural Network for the Classification of Coffee Fruit State;E3S Web of Conferences;2024

2. Convolutional Neural Networks Applied to the Performance of a Coffee Tree;E3S Web of Conferences;2024

3. Design of a End Effector For Coffee Bean Quality Monitoring through IoT;2023 IEEE International Conference on Machine Learning and Applied Network Technologies (ICMLANT);2023-12-14

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