FAU Engineering Awarded USDA Grant for Smart Farming Breakthrough

Strategic Insights -

Florida Atlantic University's engineering department has been awarded an $827,533 grant from the United States Department of Agriculture's National Institute of Food and Agriculture. The grant will support a research project led by associate professor Arslan Munir, Ph.D., in collaboration with Kansas State University and Purdue University. The project aims to develop an advanced edge/fog computing-based framework, called "FogAg," to revolutionize precision agriculture by enabling real-time sensing and analysis of crop growth and yield.

Key Takeaways:

  • The FogAg framework will integrate cutting-edge developments in edge/fog computing, cyber-physical systems, and multi-modal sensing to provide a scalable solution for real-time, multi-layer sensing and analysis of crop health.
  • The project will explore new innovations across multiple domains, including architecture, sensing, machine learning, and predictive modeling, to deliver a next-generation agricultural system.
  • The team will develop and deploy a multi-modal sensing platform, including an economical and flexible LED-based multispectral imaging system, an innovative near-infrared point measurement sensor, and a novel frequency response-based dielectric soil sensor.
  • The FogAg framework has potential applications in large-scale industrial farms, urban, and peri-urban agricultural systems.
  • The project will incorporate its findings into both undergraduate and graduate curricula, training the next generation of engineers and scientists in the practical application of smart agriculture technologies.
  • The collaboration between Florida Atlantic University, Kansas State University, and Purdue University ensures that the FogAg framework will be designed with both technological sophistication and agronomic practicality.

Statistics:

  • $827,533: The amount of the USDA grant awarded to Florida Atlantic University's engineering department.
  • 3: The number of tiers in the FogAg cyber-physical architecture that spans IoT devices, fog computing nodes, and cloud servers.
  • 1 year: The duration of the initially funded grant period.
  • 20%: Potential reduction in agriculture's nitrogen footprint and associated environmental pollution through the integration of real-time water and nitrogen management strategies.
  • 90%: Potential increase in crop yield and quality through the use of FogAg.
  • 1: The generation of smart agriculture technologies that will seed innovation well beyond the duration of the grant.

Sources:

  • FAU Engineering (2023). FAU Engineering Awarded USDA Grant for Smart Farming Breakthrough. Retrieved from