Award Abstract # 1941529
NSF Engineering Research Center for the Internet of Things for Precision Agriculture (IoT4Ag)

NSF Org: EEC
Division of Engineering Education and Centers
Recipient: TRUSTEES OF THE UNIVERSITY OF PENNSYLVANIA, THE
Initial Amendment Date: August 3, 2020
Latest Amendment Date: August 16, 2024
Award Number: 1941529
Award Instrument: Cooperative Agreement
Program Manager: Lan Wang
lwang@nsf.gov
 (703)292-5098
EEC
 Division of Engineering Education and Centers
ENG
 Directorate for Engineering
Start Date: September 1, 2020
End Date: August 31, 2025 (Estimated)
Total Intended Award Amount: $26,000,000.00
Total Awarded Amount to Date: $25,780,464.00
Funds Obligated to Date: FY 2020 = $3,500,000.00
FY 2021 = $4,508,100.00

FY 2022 = $6,000,000.00

FY 2023 = $6,069,363.00

FY 2024 = $5,703,000.00
History of Investigator:
  • Cherie Kagan (Principal Investigator)
    kagan@seas.upenn.edu
  • Sue Bidstrup-Allen (Co-Principal Investigator)
  • David Arnold (Co-Principal Investigator)
  • Stefano Carpin (Co-Principal Investigator)
  • David Cappelleri (Co-Principal Investigator)
  • Catherine Keske (Former Co-Principal Investigator)
Recipient Sponsored Research Office: University of Pennsylvania
3451 WALNUT ST STE 440A
PHILADELPHIA
PA  US  19104-6205
(215)898-7293
Sponsor Congressional District: 03
Primary Place of Performance: University of Pennsylvania
3451 WALNUT STREET
PHILADELPHIA
PA  US  19104-6205
Primary Place of Performance
Congressional District:
03
Unique Entity Identifier (UEI): GM1XX56LEP58
Parent UEI: GM1XX56LEP58
NSF Program(s): ERC-Eng Research Centers
Primary Program Source: 01002324DB NSF RESEARCH & RELATED ACTIVIT
01002324DB NSF RESEARCH & RELATED ACTIVIT

01002425DB NSF RESEARCH & RELATED ACTIVIT

01002021DB NSF RESEARCH & RELATED ACTIVIT

01002223DB NSF RESEARCH & RELATED ACTIVIT

01002223DB NSF RESEARCH & RELATED ACTIVIT

01002425DB NSF RESEARCH & RELATED ACTIVIT

01002122DB NSF RESEARCH & RELATED ACTIVIT
Program Reference Code(s): 128E, 125E, 129E, 8808, 130E, 126E, 1480, 131E, 132E, 124E, 113E, 123E, 127E, 112E, 7680
Program Element Code(s): 148000
Award Agency Code: 4900
Fund Agency Code: 4900
Assistance Listing Number(s): 47.041

ABSTRACT

Ensuring food, energy, and water security is a societal grand challenge. By 2050, the US population is estimated to grow from 330 million to 400 million, and the world population from 7.8 billion to 9.7 billion, requiring a 70% increase in global food production. Current agricultural practices account for 70% of global water use, and energy use accounts for the largest cost on a farm. Furthermore, the current inefficient use of agrochemicals is altering Earth?s ecosystems. With finite arable land, water, and energy resources, there is a critical need for new technologies and innovations to improve the efficiency of food production. These challenges provide a unique opportunity for scientists, engineers, practitioners, and other stakeholders to come together and develop new technologies and solutions that would not be realized without a convergent approach. The NSF Engineering Research Center for the Internet of Things for Precision Agriculture (IoT4Ag) unites faculty and students from the University of Pennsylvania, Purdue University, the University of California at Merced, and the University of Florida with government and industry partners, establishing a convergence of expertise in agronomy, agricultural engineering, socio-economics, environmental science, and the science and engineering of physical and cyber-physical systems needed to transform agriculture. The goal of this center is to ensure food, energy, and water security by advancing technology to increase crop production while minimizing the use of energy and water resources and the impact of agricultural practices on the environment. To realize this mission, IoT4Ag will create and translate to practice Internet of Things (IoT) technologies for precision agriculture and train an educated and diverse workforce that will address the societal grand challenge of food, energy, and water security for decades to come. IoT4Ag institutions are located in regions of the United States of intense agricultural production and represent the diversity of both crops and agricultural environments across the country. The coverage of these diverse geographical locations will ensure that a broad range of crop types will benefit from the research, education, and training of IoT4Ag, leading to the successful transformation of agricultural practices for a sustainable and secure future.

The IoT4Ag team will investigate how the complex systems of plant and environmental variables affect crop yield and resilience. To accomplish this task, center researchers will focus on the development of low-cost sensor technologies to measure these variables at relevant spatial and temporal scales. To utilize these sensors and the data collected, IoT4Ag will develop agriculture-specific communication technologies that relay data from sensors to both relevant farming equipment and to the cloud by autonomous aerial and ground-based robots equipped to be deployed at field scale. Data-driven models will capture plant physiology, soil properties and dynamics, historical weather trends and future forecasts, management practice variations, and socio-economic trends to provide farmers the situational awareness necessary for smart agricultural intervention and improved outcomes. Through the research and development of these proposed technologies and solutions, IoT4Ag will educate a diverse workforce of pre-college students, community college students, university students, and agriculture professionals through audience-specific lessons and hands-on classroom, laboratory, and field activities. These activities will arm this new workforce with the strong science and engineering knowledge to enable precision agriculture solutions. IoT4Ag will recruit, retain, and educate a broad community of participants and foster an environment that encourages engagement, participation, and unity among students, faculty, and professionals. This vibrant innovation ecosystem will bring together academic, government, and industry partners with the end-user farming community to ensure the rapid translation of IoT4Ag practices and technologies into commercial products and economic impact. Through all of these described activities, IoT4Ag will enable the transformation of agriculture, producing more crops for every drop of water or Joule of energy to realize a food, energy, and water-secure future for the United States.

This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

PUBLICATIONS PRODUCED AS A RESULT OF THIS RESEARCH

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Halim, Miah A. and Spencer, Smith and Rendon-Hernandez, Adrian and Arnold, David "Electromechanical modeling and experimental validation of a dual-transduction electrodynamic wireless power receiver" 21st International Conference on Solid-State Sensors, Actuators and Microsystems (Transducers 2021) , 2021 Citation Details
Smith, Spencer E. and Halim, Miah A. and Chyczewski, Stasiu T. and Rendon-Hernandez, Adrian A. and Arnold, David P. "A Wirelessly Rechargeable AA Battery Using Electrodynamic Wireless Power Transmission" Energies , v.14 , 2021 https://doi.org/10.3390/en14092368 Citation Details

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