Research Progress of Agricultural Drying Technology, Equipment Development and Recent Techniques
A Special Issue of AgriEngineering (ISSN 2624-7402).
Deadline for manuscript submissions: 30 April 2027 | Viewed by 1061
Editor
Interests: agricultural biosystems engineering; food processing engineering; renewable energy; mathematical modeling; Internet of Things; artificial intelligence
Special Issue Information
Dear Colleagues,
Drying is always a topic of interest due to its importance. It refers to the process of removing moisture from products for preservation and quality maintenance using several different types. The application of scientific principles and engineering practices to design, develop, and optimize drying processes and equipment, in addition to product quality and energy efficiency, for development drying processes involves research and design, prototyping and testing, optimization and commercialization.
Different powerful tools are used to model and analyze drying processes such as artificial intelligence (AI) approaches, Internet of things (IoT) techniques, simulation, optimization, mathematical modeling (MM) used to describe and predict drying behavior for better results and production of smart dryers and cloud-based monitoring. Its challenges and future directions are with regard to data security, integration and scalability. In addition, process efficiency can be enhanced by using hybrid systems, renewable energy sources and phase change materials (PCM) as well as studying life cycle assessment (LCA) and environmental and economical and sustainability goals.
Hybrid drying systems (HDS) combine multiple drying techniques to achieve improved efficiency, product quality, and energy savings. Its challenges and future directions are with regard to system design, control and automation and cost-effectiveness.
The Special Issue will feature all original research types on agricultural drying, which will be of interest to researchers, practitioners, and policymakers in the field of agriculture and related fields.
Dr. Khaled Abdel Salam El-Sayed Metwally
Guest Editor
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 250 words) can be sent to the Editorial Office for assessment.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-anonymized peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. AgriEngineering is an international peer-reviewed open access monthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1800 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
Keywords
- agricultural drying engineering and technology
- drying kinetics
- quality asessment
- sensory evaluation
- efficiencies and energies analysis
- thermodynamic properties
- renwable energy sources
- hybrid dryer (HD)
- phase change materials (PCM)
- artifical intellgence (AI)
- machine learning (ML)
- deep learning (DL)
- artificial neural network (ANN)
- Internet of Things (IoT)
- arduino and sensors
- smart dryers (SD)
- simulation
- optimization
- mathematical modeling (MM)
- recent and advanced
- algorithms and approaches
- life cycle assement (LCA)
- enviromental evaluation
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