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Smart Sensing for Green Engineering: Technologies to Enhance Sustainable Design, Manufacturing and Recycling

A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Industrial Sensors".

Deadline for manuscript submissions: 25 June 2026 | Viewed by 547

Special Issue Editors


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Guest Editor
School of Engineering, Deakin University, Geelong, VIC 3216, Australia
Interests: data management and data science; electronics; sustainable engineering; smart sensors; digital hardware; control engineering; mechatronics and robotics

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Guest Editor
Research Institute on Sustainable Economic Growth, National Research Council of Italy (CNR), Turin Research Area of the CNR, 10135 Turin, Italy
Interests: emerging technologies: sources, diffusion and innovation strategies; disruptive technologies: sources, innovation management and commercialization; frugal innovation and sustainable frugal innovation; technological evolution and industrial and corporate change
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

There is an increasing focus on the monitoring and enhancement of sustainability throughout the entire lifecycle of a product, from design to disposal. Traditionally, engineering has primarily concentrated on product performance, cost, and manufacturability, often not prioritizing product sustainability or end-of-life management. As governments, businesses, consumers, and the global community increasingly demand sustainability in all aspects of engineering design, there is a significant opportunity to perform meaningful research in this area. By creating new smart sensors and devices for the manufacturing and production industries, as well as in enhancing the end-of-life recycling of complex products, engineers can ensure that sustainability goals can be met and provide valuable insights to the industry to improve their processes. This Special Issue will provide an opportunity for engineers and scientists working in smart sensors and devices to publish both original research and review articles on technologies, advances, and novel applications in green engineering technologies.

Potential topics include, but are not limited to, the following:

  • Sensors for emissions monitoring of industrial processes;
  • Sensors and devices for integrated life-cycle assessment;
  • Sensors and devices for monitoring resources usage in manufacturing and production processes;
  • Sensors and devices for assessing and characterizing recycling waste streams.

Prof. Dr. Scott D. Adams
Dr. Mario Coccia
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 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-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.

Keywords

  • green engineering
  • sustainable technologies
  • smart sensors
  • sustainable engineering
  • circular economy
  • IoT

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Published Papers (1 paper)

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Research

28 pages, 9862 KB  
Article
Microclimate-Controlled Smart Growth Cabinets for High-Throughput Plant Phenotyping
by Michael Vernon, Ghazanfar Abbas Khan, Lawrence D. Webb, Abbas Z. Kouzani and Scott D. Adams
Sensors 2025, 25(24), 7509; https://doi.org/10.3390/s25247509 - 10 Dec 2025
Viewed by 219
Abstract
Climate change is driving urgent demand for resilient crop varieties capable of withstanding extreme and changing conditions. Identifying resilient varieties requires systematic plant phenotyping research under controlled conditions, where dynamic environmental impacts can be studied. Current growth cabinets (GC) provide this capability but [...] Read more.
Climate change is driving urgent demand for resilient crop varieties capable of withstanding extreme and changing conditions. Identifying resilient varieties requires systematic plant phenotyping research under controlled conditions, where dynamic environmental impacts can be studied. Current growth cabinets (GC) provide this capability but remain limited by high costs, static environments, and scalability. These limitations pose a challenge for climate change-based phenotyping research which requires large-scale trials under a variety of dynamic climate conditions. Presented is a microclimate-controlled smart growth cabinet (MCSGC) platform, addressing these limitations through four innovations. The first is dynamic microclimate simulation through programmable environmental ‘recipes’ reproducing real climactic variability. The second is interconnected scalable multi-cabinet for parallel experiments. The third is modular hardware able to reconfigure for different plant species, remaining cost-effective at <$10,000 AUD. The fourth is automated data collection and synchronisation of environmental and phenotypic measurements for Artificial Intelligence (AI) applications. Experimental validation confirmed precise climate control, broad crop compatibility, and high-throughput data generation. Environmental control stayed within ±2 °C for 97.42% while dynamically simulating Hobart, Australia, weather. The MCSGC provides an environment suitable for diverse crops (temperature 14.6–31.04 °C, and Photosynthetically Active Radiation (PAR) 0–1241 µmol·m−2·s−1). Multi-species cultivation validated the adaptability of the MCSGC across Cannabis sativa (544.1 mm growth over 34 days), Beta vulgaris (123.6 mm growth over 36 days), and Lactuca sativa (19-day cultivation). Without manual intervention the system generated 456 images and 164,160 sensor readings, creating datasets optimised for AI and digital twin applications. The MCSGC addresses critical limitations of existing systems, supporting advancements in plant phenotyping, crop improvement, and climate resilience research. Full article
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