Innovative Measurement Systems and Data-Driven Models in Agriculture and the Food Industry: Enhancing Productivity, Quality and Sustainability
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Agricultural Science and Technology".
Deadline for manuscript submissions: 20 March 2025 | Viewed by 67
Special Issue Editors
Interests: data acquisition; face recognition; applied AI
Special Issues, Collections and Topics in MDPI journals
Interests: robotics and mechatronics; parallel kinematics machines; theory of mechanisms and mechanics; functional mechanical design; actuation systems
Interests: robot mechanics; mechanical systems monitoring and diagnostics; dynamics of the railway vehicle, with reference to the dynamic interaction between pantograph and catenary
Special Issue Information
Dear Colleagues,
The integration of sensor technologies and data-driven models is transforming agriculture and, by extension, the food industry. These innovations are boosting productivity, enhancing food quality, safeguarding biodiversity, and playing a pivotal role in combating invasive species and pests.
The growing adoption of innovative measurement systems and advanced data analysis techniques is enabling quality monitoring and metrology-assisted production. The collected measurements provide data for developing models that can offer innovative solutions to boost that industry.
This Special Issue seeks to showcase the latest research leveraging these technological advancements to tackle emerging challenges in agriculture and the food industry.
We invite original research, comprehensive reviews, and practical applications focusing on the use of sensors and data-driven models in these fields.
Key topics include, but are not limited to, the following:
- Development and application of advanced measurement systems to monitor crop health, soil conditions, and environmental factors and to ensure safety and food quality;
- Data-driven models for optimizing agricultural productivity, enhancing food processing efficiency, and improving sustainability across the food supply chain;
- Strategies for exploiting measurement data for use in the detection, monitoring, and targeted management of invasive species and pests, impacting agricultural production;
- Innovations in sensor technologies aimed at preserving local crop varieties, ensuring food traceability, and supporting biodiversity conservation;
- Case studies demonstrating the implementation and impact of sensor-based systems and data-driven approaches in real-world agricultural and food industries;
- Cross-disciplinary approaches that integrate sensor technologies, machine learning, and ecological expertise to develop resilient, sustainable practices in agriculture and food production;
- Virtual training environments and simulations that provide immersive and realistic scenarios for training professionals, enabling them to improve their skills and decision-making abilities while overcoming limitations related to the seasonality and availability of various crops and soils;
- Development of a plant/crop growth model to optimize cultivation practices and accurately predict yields, enhancing decision-making in agricultural management.
Dr. Nicola Giulietti
Prof. Dr. Hermes Giberti
Prof. Dr. Marco Carnevale
Guest Editors
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. Applied Sciences 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 2400 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
- advanced measurement system
- metrology-assisted production
- data-driven models
- precision agriculture
- food safety and quality
- metrology in agriculture
- crop health monitoring
- soil condition assessment
- invasive alien species
- sustainable food production
- biodiversity conservation
- crop growth models
- immersive scenarios
- virtual training
Benefits of Publishing in a Special Issue
- Ease of navigation: Grouping papers by topic helps scholars navigate broad scope journals more efficiently.
- Greater discoverability: Special Issues support the reach and impact of scientific research. Articles in Special Issues are more discoverable and cited more frequently.
- Expansion of research network: Special Issues facilitate connections among authors, fostering scientific collaborations.
- External promotion: Articles in Special Issues are often promoted through the journal's social media, increasing their visibility.
- e-Book format: Special Issues with more than 10 articles can be published as dedicated e-books, ensuring wide and rapid dissemination.
Further information on MDPI's Special Issue polices can be found here.
