IoT-based Construction Environments

Digital Twins Technology to ensure Food Safety

Precision Crop MicroFarm Monitoring

Vehicular Networks

 

 

 

 

 

Elements: Cyberinfrastructure Service for IoT-Based Construction Research and Applications

Project Sponsor: National Science Foundation, Award#2004544.

Personnel: Faculty: A. Costin, J. McNair, I. Jeelani, and S. Koppal Alumni: N/A Graduate Students: TBD Undergraduate Students: Kyle Morman Project Goal: This proposal develops a robust cyberinfrastructure (CI) system and service for construction research and applications to address the current challenges faced in the construction industry. The outcomes and services that that this proposal aims to provide are 1) a distributed SDN-managed and AI-assisted IoT-based system that can be adapted and extended based on needs of the research and application; 2) identification of the data and data security requirements needed to address the challenges in the construction industry and potential technologies that can provide those data; 3) evaluation of reliable real-time multi-sensor fusion techniques for ruggedness, usability, and limitations of IoT-based components deployed in the dynamic construction environments; 4) robust prototype system for real-time safety monitoring based on the IoT system framework; and 5) recommendations of potential configurations of the system with the appropriate technology and sensors to meet the needs of the application.

Publications

• Submitted
  1. TBA
• To Appear
  1. A. Costin and J. McNair, “IoT and Edge Computing in the Construction Site,” Web Technologies for the Built Environment, in press, 2021.
  2. A. Costin, J. McNair, I. Jeelani, and S. Koppal, “Intelligent Jobsites- An integrated IoT Platform for the Construction Environment,” to appear in the Artificial Intelligence in Architecture, Engineering and Construction Conference, March 2021.
• Published
  1. TBA

Digital Twin Technology to Ensure Food Safety

Personnel:
Ziynet Boz and Rafael Muñoz-Carpena  Department of Agricultural and Biological Engineering
Janise McNair, Department of Electrical and Computer Engineering
Michelle Danyluk, Department of Food Science and Human Nutrition

Students
Mert Canatan
Quadri Abiru

Project Goal:
The overarching objective of this proposal is to demonstrate the concept of  Digital Twin technology in the cold chain applications of fresh produce. The temperature of the refrigerated case and temperature-related quality of fresh produce will be monitored based on the sensor data and mechanistic models run real time. User interface will provide optimum shelf life decision criteria for the refrigerator (e.g., assets) operation or food handling (e.g. sale incentives, donation, etc.

Publications

To be announced.

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Precision Crop Micro-Farm Monitoring

Personnel: Faculty: C. Fraisse, J. McNair Alumni: N/A Graduate Students: T. Borba Onofre Undergraduate Students: TBD Project Goal: The advancement of new technologies, such as the Internet of Things (IoT), provides an opportunity for enhancing precision agriculture-based management practices and enabling lower lost technology to become more attractive. The main objective of this research is to design, implement, and monitor site-specific weather conditions at the farm level using Internet of Things and Wireless Sensor Networks

Publications

• Submitted
  1. TBA
• To Appear
  1. TBA
• Published
  1. Onofre, T.B., Cerbaro, V.A., Peres, N., Zotarelli, L., McNair J., Fraisse, C., “A Design and Development Experience of an Internet of Things Platform to Monitor Site-Specific Weather Conditions at the Farm Level,” Applied Engineering in Agriculture (2021). 37(4): 691-700. (doi: 10.13031/aea.14005)
  2. T. Borba Onofre, C. Fraisse, J. McNair, J. Judge,, L. Zotarelli, N. Peres, “Development of a Wireless Sensor Network for Field-level Strawberry Disease Alert Systems,” Applied Engineering in Agriculture (2020). 37(1): 183-192.
  3. T. Borba Onofre, C.W. Fraisse, N.A. Peres, J. McNair, “How to Avoid Common Problems with Leaf Wetness Sensor Installation and Maintenance,” AE538/AE538, Florida Online Journal, UF/IFAS EDIS, vol 2020, no 1, May 4, 2020.
• Presentations
  1. 1. Onofre, T.B., Cerbaro, V.A., Peres, N., Zotarelli, L., McNair J., Fraisse, C. “Development, implementation, and evaluation of a Wireless Sensor Network for a Disease Warning System” Lecture presented at the 2018 ASABE Annual International Meeting, Detroit, MI – USA, 2018.
  2. Onofre, T.B., Cerbaro, V.A., Peres, N., Zotarelli, L., McNair J., Fraisse, C. “Evaluation of a Wireless Sensor Network for a Strawberry Advisory System” Lecture presented at the FL ASABE Annual International Meeting, Jensen Beach, FL – USA, 2018.
  3. Onofre, T.B., Cerbaro, V.A., Peres, N., Zotarelli, L., McNair J., Fraisse, C., “Development, implementation, and evaluation of a Wireless Sensor Network for a Disease Warning System” Lecture presented at the FL ASABE Annual International Meeting – Jupiter – FL, 2017.
  4. Onofre, T.B., Cerbaro, V.A., Peres, N., Zotarelli, L., McNair J., Fraisse, C. “A Wireless Sensor Network for Strawberry Monitoring.” Lecture at the 2017 ASABE Annual International Meeting – Spokane, WA – USA, 2017.