Measurement: Sensors is an open access journal open to original, high-quality contributions from all relevant fields of this highly topical and multi-disciplinary subject.

Measurement: Sensors is a companion journal to Measurement: Journal of the International Measurement Confederation (IMEKO) .

The main aim of the journal is to provide rapid publication of topical papers featuring practical developments in the field, covering a wide range of application areas, and it will attract a readership from across the industrial and academic research spectrum. The journal seeks to publish progress in research with an emphasis both on both the applied and the theoretical aspects, bringing greater recognition to this important area of engineering.

Submissions are invited on all aspects of the theory, research, development, manufacturing and applications of the science, engineering and technology of the highly interdisciplinary field that comprises sensors and sensor systems today. Authors are encouraged to submit novel material on this field which could include the results of research including simulation and experimental work, which may deal with practical or new industrial applications related to innovative sensors, or discuss new developments in sensor design, including modelling, and the applications of sensors to novel research in different areas of instrumentation.

Thus, the fields of interest include (but are not limited to):

    Sensors and sensor systems

    Sensors: materials and their application in sensor systems

    Sensor types:
    — optical;
    — ultrasonic and acoustic;
    — chemical;
    — physical sensors of all types e.g. pressure, temperature, flow etc;
    — biochemical;
    — biosensors;
    — sensors in biomedical science and engineering;
    — radiation sensors;
    — sensing in the liquid and gas phases

    Sensor connectivity and sensor networks

    Actuators

    Sensors and software including
    — Sensor simulation and modelling;
    — Sensors for hazardous environments e.g. due to high temperature, radiation, space, acidic and other challenging environments;
    — Sensors in Industry 4.0 and the Digital Twin;
    — Sensor signal and data processing;
    — Sensor data fusion;
    — Sensors and machine learning and AI

    Sensor Applications in industry including
    — All aspects of sensor use and evaluation in industry including sensor packaging, sensor durability and long term testing and evaluation

    Education and training in sensors and sensor systems

    Health and safety aspects of the use of sensor systems

Measurement: Sensors publishes the following types of papers, all of which are fully peer reviewed:

    Regular Articles which should describe original research of high quality in the field of Sensors and sensor systems.

    Review Articles which will generally be specially commissioned; however, suggestions for topics and authors are welcomed by the Editor-in-Chief.

    Technical Notes which are short contributions and provide rapid publication of important new contributions.

    Special Issue Conference Articles which represent novel work arising from topical meetings and symposia

Special Issue on Sensors in Smart Agriculture Systems and Food 4.0
Submission Date: 2025-01-31

In the realm of smart agriculture systems and the emergence of Food 4.0, sensors play a pivotal role in revolutionizing traditional farming practices. These sensors, ranging from soil moisture detectors to drones equipped with multispectral cameras, provide real-time data crucial for decision-makingprocesses. By continuously monitoring various environmental factors such as temperature, humidity, and soil nutrient levels, farmers can optimize resource allocation, enhance crop yield, and minimize environmental impact. Moreover, the integration of IoT (Internet of Things) technology enables seamless connectivity between sensors, farm equipment, and data management platforms, facilitating efficient automation and remote monitoring. This synergy of sensors and digital technologies not only streamlines agricultural operations but also promotes sustainability and resilience in food production systems. As smart agriculture continues to evolve under the umbrella of Food 4.0, the role of sensors will undoubtedly remain instrumental in shaping the future of farming towards greater efficiency, productivity, and sustainability.

In the domain of smart agriculture systems and the advent of Food 4.0, while sensors offer a plethora of benefits, they also pose several challenges that need to be addressed for seamless integration and operation. One significant challenge lies in the interoperability and standardization of sensor
technologies. With numerous sensor manufacturers utilizing different protocols and data formats, ensuring compatibility and seamless data exchange between devices can be complex. Additionally, the sheer volume of data generated by sensors presents challenges in terms of storage, processing, and analysis. Farmers need robust data management systems capable of handling large datasets in real-time and extracting actionable insights. Moreover, sensor deployment and maintenance require technical expertise, which may be lacking in traditional farming communities. Overcoming these challenges will be crucial in harnessing the full potential of sensors in smart agriculture systems and advancing towards a sustainable and resilient food production paradigm.

    Sensors in precision agriculture for variable rate application, precision irrigation and targeted​pest management
    Remote sensing in agriculture for monitoring and decision-making of food
    Sensor technologies in agriculture for hyperspectral imaging, nanosensors and wearable
    devices of livestock monitoring
    Sensors in the safety of food manufacturing processes, pH and microbial activity
    Sensors in digital and sustainable transition for the agri-food sector
    Soil sensors and machine learning in precision agriculture for smart strawberry production
    Sensors in the smart agricultural framework for optimization of onion crop management
    Sensors in climate change for precision farming and sustainable agricultural
    Sensors in smart farming revolution for real time soil nitrogen and phosphorus monitoring of sustainable agriculture
    Advanced multifunctional sensors in soil parameters for sustainable agriculture
    Sensors in soil nutrient analysis and crop recommendation for precision agriculture

Guest editors:

Dr. Akhilesh Mishra (Executive Guest Editor)
Professor, Agronomy
Faculty of Agriculture, Chandra Shekhar Azad University of Agriculture & Technology, Kanpur, Uttar, Pradesh, 208002, India.
Email: akhilagronomist@csauk.ac.in

Dr. Vlad Stoian
Department of Plant Culture - Microbiology, Faculty of Agriculture, University of Agricultural Sciences and Veterinary Medicine Cluj-Napoca 3-5, Calea Manastur, 400372, Cluj-Napoca, România.
Email: vlad.stoian@usamvcluj.ro

Dr. Irmina Ćwieląg-Piasecka
Assistant Professor
Institute of Soil Science, Plant Nutrition and Environmental Protection, Faculty of Life Sciences and Technology, Wroclaw University of Environmental and Life Sciences, Wrocław, Dolnoslaskie, Poland.
Email: irmina.cwielag-piasecka@upwr.edu.pl

Manuscript submission information:

Tentative Schedule:

    Submission Open Date: May 10, 2024
    Submission Deadline: January 31, 2025
    Initial Decision: February 28, 2025
    Revised Version: April 30, 2025
    Notification of Acceptance: June 30, 2025

Manuscripts must be submitted via the Measurement: Sensors online submission system (Editorial Manager®): https://www.editorialmanager.com/measen. Please select the article type “VSI: Sensors in Smart Agri” when submitting your manuscript online.

Please refer to the Guide for Authors to prepare your manuscript: https://www.elsevier.com/journals/measurement-sensors/2665-9174/guide-for-authors.

For any further information, the authors may contact the Guest Editors.

Article Publishing Charge: in/before June 2024, there is no Article Publishing Charge (APC) to be paid for publication in Measurement: Sensors. Upon acceptance, your article will be published open access free of charge.

For full details of this journal’s open access policy, please visit: https://www.elsevier.com/journals/measurement-sensors/2665-9174/open-access-journal.

Keywords:

Sensor Technology, Precision/Sustainable Agriculture, Food 4.0, Crop and pest Management, Wearable Devices, etc.

Special Issue on Smart Sensing and Data Analytics for Sustainable Agriculture
Submission Date: 2025-02-20

Agriculture is a critical sector that supports global food production and contributes to economic development. However, with the increasing demand for food, agriculture faces significant challenges such as land degradation, water scarcity, and climate change. To address these challenges, innovative and sustainable solutions are required. Smart sensing and data analytics have emerged as promising technologies that can help to improve agricultural productivity, optimize resource utilization, and reduce environmental impacts. Smart sensing involves the use of sensors to collect data on various agricultural parameters such as soil moisture, nutrient levels, and plant growth. This data can be analysed using data analytics and machine learning techniques to provide insights into crop health and environmental factors. By understanding these factors, farmers can make informed decisions about resource allocation and management, leading to more efficient and sustainable agriculture practices. The adoption of smart sensing and data analytics in agriculture has gained significant momentum in recent years. For instance, wireless sensor networks can be used to monitor crop growth and environmental conditions in real-time. IoT applications can be utilized for precision agriculture, enabling farmers to optimize resource usage and improve crop yield. Data analytics and machine learning algorithms can predict crop yield, disease outbreaks, and water usage, aiding farmers in decision-making. The scope and objective of this special issue are to present recent advancements in smart sensing and data analytics for sustainable agriculture. The issue aims to provide a platform for researchers and practitioners to share their latest findings, exchange ideas, and discuss future directions. The topics of interest include sensor technologies for monitoring crop growth, soil moisture, nutrient status, and pest infestation, IoT applications for precision agriculture, data analytics and machine learning algorithms for predicting crop yield and disease outbreaks, and smart farming techniques for improving resource efficiency and reducing environmental impacts. Overall, this special issue seeks to contribute to the development of innovative and sustainable solutions for agriculture through the use of smart sensing and data analytics. 

Topics of Interest: 

1. Sensor technologies for monitoring crop growth, soil moisture, nutrient status, and pest infestation 
2. Wireless sensor networks for real-time data acquisition and transmission 
3. Internet of Things (IoT) applications for precision agriculture SI Proposal Form 
4. Data analytics and machine learning algorithms for predicting crop yield, disease outbreaks, and water usage 
5. Decision support systems for optimizing irrigation, fertilization, and pesticide application 
6. Smart farming techniques for improving resource efficiency and reducing environmental impacts 
7. Applications of smart sensing and data analytics in greenhouse production 
8. Integration of satellite remote sensing with ground-based sensing for agricultural monitoring 
9. Analysis of big data in agriculture for decision-making and management 
10. Sustainable agriculture practices and policy implications of smart sensing and data analytics 
11. Case studies and practical applications of smart sensing and data analytics in different crops and agricultural systems 
12. Future directions and challenges in the application of smart sensing and data analytics in sustainable agriculture

Guest editors:

Dr. Bradha Madhavan (Executive Guest Editor) 
Rathinam Research Centre, Rathinam Technical Campus, Coimbatore, India
Email: bradha.physics@rathinam.in
Areas of Expertise: Energy storage devices, Functional materials, computational methods, Nanomaterials, Nano sensors

Dr. Yuvaraj Subramanian
University of Uslan, Uslan, South Korea
Email: Yuva1987@uslan.ac.kr
Areas of Expertise: Energy storage devices, Functional materials, computational methods, Nanomaterials, Biosensors

Dr. Manikandan Ramu
Dongguk University-Seoul, Seoul, South Korea
Email: tomchemist@dongguk.edu
Areas of Expertise: Energy storage devices, Functional materials, computational methods, Nanomaterials

Dr. Ivonne L Alonso-Lemus
Sustainability of the Natural Resources and Energy, CINVESTAV, Saltillo Campus, Mexico
Email: ivonne.alonso@cinvestav.edu.mx
Areas of Expertise: Alternate Energies, Electrochemical Systems, Electrocatalysis, nano materials

Manuscript submission information:

Tentative Schedule:

    First Submission Date: August 1, 2024
    Final Submission Deadline: February 20, 2025
    Notification of Acceptance: December 4, 2025

Manuscripts must be submitted via the Measurement: Sensors online submission system (Editorial Manager®): https://www.editorialmanager.com/measen. Please select the article type “VSI: Smart sensing Agriculture” when submitting your manuscript online.

Please refer to the Guide for Authors to prepare your manuscript: https://www.elsevier.com/journals/measurement-sensors/2665-9174/guide-for-authors.

For any further information, the authors may contact the Guest Editors.

Article Publishing Charge (APC): in/before June 2024, there is no Article Publishing Charge (APC) to be paid for publication in special issues of Measurement: Sensors. Upon acceptance, your article will be published open access free of charge.

For full details of this journal’s open access policy, please visit: https://www.elsevier.com/journals/measurement-sensors/2665-9174/open-access-journal.

Keywords:

Nanosensors, Biosensors, Soft computing, Data analytics in smart agriculture