Aligned with
This conference contributes to global sustainability by aligning its research discussions and academic sessions with key United Nations Sustainable Development Goals. It fosters knowledge exchange, innovation, and collaborative engagement.
SDG 2 — Zero Hunger
SDG 3 — Good Health and Well-being
SDG 9 — Industry, Innovation and Infrastructure
SDG 11 — Sustainable Cities and Communities
SDG 12 — Responsible Consumption and Production
SDG 16 — Peace, Justice and Strong Institutions
SDG 17 — Partnerships for the Goals
This track focuses on the development and application of predictive modeling techniques in food safety engineering. Researchers will present innovative approaches that leverage data analytics to enhance food safety protocols.
This session explores the integration of supervised and unsupervised learning methods in food processing. Participants will discuss case studies demonstrating the effectiveness of machine learning in optimizing food safety and quality.
This track highlights the use of deep learning algorithms for detecting anomalies in food production systems. Presentations will cover various methodologies and their implications for improving food safety standards.
This session delves into the importance of feature extraction in enhancing predictive models for food safety. Researchers will share insights on techniques that improve model accuracy and reliability.
This track examines the role of workflow automation in streamlining food safety processes. Discussions will focus on technologies that facilitate real-time monitoring and compliance in food production.
This session investigates the integration of Industrial Internet of Things (IIoT) in food safety engineering. Participants will explore how IIoT technologies enhance monitoring, data collection, and decision-making in food systems.
This track addresses the implementation of predictive maintenance strategies to ensure operational efficiency in food processing. Presenters will share methodologies that reduce downtime and enhance equipment reliability.
This session focuses on the application of digital twin technologies in modeling food safety systems. Researchers will discuss how digital twins can simulate processes and improve quality control measures.
This track explores various process optimization techniques aimed at enhancing food safety outcomes. Participants will present research on methodologies that contribute to more efficient food production systems.
This session highlights innovative quality control measures in food engineering. Researchers will discuss new tools and techniques that ensure compliance with safety regulations and enhance product quality.
This track examines the intersection of regulatory compliance and food safety engineering practices. Presentations will focus on strategies for meeting regulatory standards while maintaining operational efficiency.
SNRI maintains uninterrupted academic processes in the current global situation. Participants can engage and publish through online and blended conference formats.
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