Special Issue "Sensors Technology and Sensing for Postharvest Quality Management in Agri-Food Chains"
Deadline for manuscript submissions: closed (5 July 2022) | Viewed by 7623
Interests: postharvest technology of fruits; non-destructive determination of fruit quality; physiological disorders; multivariate analysis
Interests: sensors (IoT, flexible sensors) and data processing in food supply chain/industrial engineering; live animal management
Special Issues, Collections and Topics in MDPI journals
Postharvest management plays a crucial role in ensuring a safe, economically viable, and sustainable supply of agricultural products to the growing world population. Postharvest losses of fruits and vegetables are estimated to be more than 30%, even in developed countries where adequate infrastructure and technology are widely available. Therefore, it is of crucial importance to speed up the development of innovative technologies that will help to optimize the postharvest chain and decrease postharvest loss. Sensor-based digital technologies are valuable tools with huge potential to achieve this goal in a cost-effective, sustainable, and efficient way.
Therefore, this Special Issue invites the submission of both review and original research articles related to sensors technology and sensing in the post-harvest phase of agri-food chains. This issue is open to contributions covering all aspects from both theoretical and practical points of view (signal acquisition and processing, data mining and fusion from sensors, together with applications in the decision-making process and quality monitoring) for postharvest quality management of agricultural products. It is focused on horticultural products (fruits, vegetables, and ornamentals) and live animal transportation, given their high value and high possibility of postharvest loss/death. However, contributions dealing with other agricultural products are also acceptable if they fit within the primary scope of the Special Issue.
We welcome original research papers and review articles on postharvest sensor technology, their applications, and comparison between different applications and solutions for postharvest problems in the agri-food chain.
Prof. Dr. Tomislav Jemrić
Prof. Dr. Xiaoshuan Zhang
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 100 words) can be sent to the Editorial Office for announcement on this website.
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-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Sensors is an international peer-reviewed open access semimonthly 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 2600 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.
- New Sensor and/or system development for postharvest application
- Postharvest applications of sensor and sensing technologies
- Data mining and analysis of data from such postharvest sensors
- Machine learning approaches involving data from postharvest sensors
- Postharvest quality monitoring of horticultural products and live animals
- Optimization of the postharvest chain using sensor technologies