Mining Data Streams for the Analysis of Parameter Fluctuations in IoT-Aided Fruit Cold-Chain

Abstract

The paper gives an overview of the state of the art methods and technologies in the field of stream data mining with applications in the Internet of Things systems for supporting fruit cold chain logistics. As the number of sensors used in on-line monitoring of the process is large, the amount of time series data is increasing rapidly. It is challenging to process such data in order to discover patterns, trends and outliers as a consequence of fluctuations of certain process parameters. In particular, the paper discusses methods for mining stream data collected in fruit cold chain aiming at real time control of fruit quality. A model of the centralized IoT system and the part responsible for monitoring fluctuations of temperature, humidity, and concentration of gases is proposed.

Artificial intelligence in postharvest agriculture: mapping a research agenda

“…From 1994 to 2022, 2,160 participated in AI applications in postharvest agriculture research, with only 24 authors of It can be noted that Zhang X and Zhang Z are the most productive authors, with an equal number of 9 publications. Zhang X's 2016 study summarized current methods and technologies in stream data mining with applications in Internet of Things systems for supporting fruit cold chain logistics (Juric et al, 2016). Through real-time temperature monitoring using a Wireless Sensor Network (WSN) and correlation analysis of the various quality indicators, Zhang X's study from 2017 identified the essential quality parameter(s) in the cold chain logistics of table grapes (Xiao et al, 2017).…”

Relational Decision Model Building for the Purchase of Rural Fresh Products Based on the Supply

“…Currently, more and more industries are transforming based on the concept of Internet Plus, and the logistics network for fresh product purchasing under the supply chain is gaining more and more impetus for development. Under the supply chain, many of the logistics networks for Fresh Product purchasing have been transformed and developed into information-based networks due to the increasingly strong impetus, and the logistics network platform built has become more and more valuable and played a more and more essential role [5]. us, there have been new channels for the sales of fresh products in the future market, and the innovative e-commerce model for fresh products is combined with the traditional development model.…”

Requirements Identification for Real-Time Anomaly Detection in Industrie 4.0 Machine Groups: A Structured Literature Review

“…Other cited publications point out that sensors do not only serve the elicitation of machine data, but also of production environment data [9], [10]. This becomes relevant in case environmental conditions influence production efficiency.…”

“…This becomes relevant in case environmental conditions influence production efficiency. Juric et al prove sensors' widespread application potential measuring various factors along a food cold chain, such as room temperature, humidity or light [9]. All sensors are part of a network that enables permanent surveillance of required conditions.…”

“…However, some of the cited publications indicate that requirements significantly differ across industries. E.g., food cold chain logistics impose different analytical requirements than CNC machines in the aerospace industry [9], [26]. Requirements regarding the infrastructural setup may also differ with the size of the production plant and the number of the connected devices and data generating sensors.…”