Smart Drying Technologies for Agricultural Products
A special issue of Agriculture (ISSN 2077-0472). This special issue belongs to the section "Agricultural Technology".
Deadline for manuscript submissions: 30 November 2025 | Viewed by 46
Special Issue Editor
Interests: fruits and vegetable processing; drying technology; intelligent manufacturing; machine vision; post-harvest abiotic stress
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
The drying of agricultural products is a fundamental process in food preservation and storage, playing a crucial role in extending shelf life, reducing post-harvest losses, and ensuring global food security. With the rapid advancement of multi-sensor technologies, artificial intelligence (AI), and automated control systems, smart drying technology has emerged as a key component of next-generation drying equipment. This technology integrates a variety of multi-sensors (such as computer vision, bionic systems, spectroscopy, magnetic resonance imaging, ultrasound, etc.) and intelligent control systems to enable real-time monitoring and precise regulation of the drying process. Smart drying technologies not only improve drying efficiency but also significantly reduce energy consumption, mitigate environmental impact, and enhance the quality of the final product.
Topics of interest for this Special Issue include, but are not limited to, the following research areas:
- The application of multi-sensor technologies (e.g., computer vision, bionic systems, spectroscopy, magnetic resonance imaging, ultrasound) in agricultural product drying;
- The development of AI-based intelligent control systems;
- Real-time monitoring technologies to assess quality parameters during the drying process;
- The evaluation of the energy consumption and environmental impacts of drying technologies;
- The design, optimization, and industrial applications of smart drying equipment.
Prof. Dr. Junwen Bai
Guest Editor
Manuscript Submission Information
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Keywords
- smart drying technology
- agricultural product drying
- multi-sensor technologies
- artificial intelligence (AI)
- non-destructive testing
- energy efficiency
- environmental impact
- real-time monitoring
- product quality enhancement
- AI-driven drying optimization
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