Naslov
Smart Agriculture and Digital Transformation on Case of Intelligent System for Wine Quality Prediction
(Smart Agriculture and Digital Transformation on Case of Intelligent System for Wine Quality Prediction)

Autori
Oreški, Dijana ; Pihir, Igor ; Cajzek, Ksenija

Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni

Izvornik
MIPRO 2021, 44th International Convention Proceedings / Skala, Karolj - Opatija : Hrvatska udruga za informacijsku i komunikacijsku tehnologiju, elektroniku i mikroelektroniku - MIPRO, 2021, 1565-1570

Skup
44th International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO 2021)

Mjesto i datum
Opatija, Hrvatska, 27.09.2021. - 01.10.2021

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
smart agriculture ; digital transformation ; industry 4.0 ; machine learning ; decision tree

Sažetak
The use of emerging technologies such as Industry 4.0 in the digital transformation of businesses is growing exponentially in various domains including agriculture. Implementation of digital transformation leads to innovation and automatization in business processes. IoT technologies combined with machine learning approaches achieve significant benefits in agriculture. This paper focuses on wine quality prediction and suggests an intelligent system based on the machine learning methodology of the decision tree. The effectiveness of classification and regression trees has improved a great deal to help in prediction. By using a public data set, the decision tree is developed consisting of red and white wines characteristics with their quality assessed by experts. Based on the developed predictive model intelligent system is constructed to fully automate the process of wine quality detection.

Izvorni jezik
Engleski

Znanstvena područja
Informacijske i komunikacijske znanosti

POVEZANOST RADA