Novel Analysis Techniques for Agri-Food Quality
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Applied Biosciences and Bioengineering".
Deadline for manuscript submissions: closed (31 May 2024) | Viewed by 5839
Special Issue Editors
Interests: biosystems engineering; sensors; agri-food sector; chemometrics; pre- and post-harvest
Interests: biosystems engineering; optical analyses; agro-food sector; chemometrics; pre-postharvest
Special Issues, Collections and Topics in MDPI journals
Interests: optical analyses; agro-food sector; chemometrics; pre-postharvest
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
The fourth industrial revolution (Industry 4.0) is characterized by, among others, (1) the bridging of the physical and digital world through cyber-physical systems, (2) closed-loop data models and remote-control systems and (3) the personalization/customization of products. The goal is to enable autonomous decision-making processes, to monitor assets and processes in real-time, and to enable real-time connected networks through early involvement of stakeholders, and vertical and horizontal integration of the food chain actors. In this scenario, there is a growing interest and a need for innovation also in the agri-food system (from pre-and post-harvest) through the development of new interconnected sensors (IoT).
Moreover, pre- and post-harvest management practices are critical factors to face the environmental and economic challenges arising from climate change, shortages of labor, and production costs escalation that affect the worldwide agri-food production. However, such a technological revolution is driving the development of smart strategies to support the producers for qualitative monitoring and decision-making processes. Within the technological toolbox already used, optical technologies are among the most suitable to address the current needs in terms of quality and quantity of information and sustainability.
Therefore, the aim of this Special Issue is to collect studies focused on agrifood new green non-invasive sensing techniques, with particular attention paid to automation and integration in field and/or real scale plants. The submitted papers can cover different topics: proximal sensing, product inspection and characterization, pre-harvest field or greenhouse applications, online or inline applications in post-harvest, food process control, monitoring application for food plants, distributed sensors network, new prototypes, multivariate control systems, and automation.
Dr. Alessio Tugnolo
Dr. Roberto Beghi
Dr. Valentina Giovenzana
Dr. Hugo M. Oliveira
Guest Editors
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Keywords
- precision agriculture
- new sensors
- IoT
- green technology
- agri-food
- Industry 4.0
- proximal sensing
- food quality control
- food process
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