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Viacheslav Barkov (Slava)
PhD student
Coppenrath Innovation Centre
Hamburger Straße 24
LOK 15, Raum 01.13.03A
49084 Osnabrück
Tel.: +49 541 969-6341
Modeling Sensor Data for Knowledge Discovery and Explainable Decision-Making in Fruit Storage
The cold storage of apples is a critical phase in post-harvest management, aiming to maintain quality and extend shelf life. Current practices often fail to dynamically adjust to the changing physiological responses of apples under storage and face challenges such as respiration rate fluctuations and moisture condensation. The advent of sensor technologies offers novel ways to face these challenges and enhance the monitoring and control of storage conditions. Prior studies have laid the groundwork by demonstrating the importance of precise monitoring using sensors. To effectively manage the factors such as fruit respiration, atmospheric conditions, and surface wetness, the sensor technologies have emerged as essential tools for capturing critical data within the storage environment. These sensor-based systems are not only applicable in the experimental and research settings but are also scalable to real-life commercial storage facilities.
This proposal prioritizes the deployment and integration of two specific sensors developed by the Leibniz Institute for Agricultural Engineering and
Bioeconomy (ATB): the Respiration Measuring Sphere (RMS88) and Wetness Sensor. These sensors have demonstrated feasibility in the real-time monitoring of critical parameters affecting the storage quality of apples. Please read the more detailed proposal here .
Project team: Viacheslav Barkov (Ph.D. Student), Prof. Dr. Martin Atzmüller (UOS), Prof. Dr.-Ing. Mario Porrmann (UOS), Dr. Pramod Mahajan (ATB)
GIL Tagung 2024
Find the digital version of the conference poster here: GIL 2024 POSTER
