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Funded Projects

Current Projects


STC: Center for Research on Programmable Plant Systems (CROPPS)

Overview: CROPPS will develop new paradigms for observing, recording, and modulating plant responses to their environment via an Internet of Living Things (IoLT). CROPPS will integrate the latest advances in synthetic biology, nanotechnology, sensors, distributed computing, systems biology, and data analytics to create programmable plants that report their experiences in digital format and dynamically respond to signals derived from processed data. Simply put, CROPPS will develop the tools to listen and talk to plants and their associated organisms (i.e., microbiomes). Programmable plant systems will generate foundational discoveries through interactive experimental designs, and prototype translational solutions for improved crop performance in the field, with long-term impacts on sustainability, productivity, and profitability. CROPPS research will make tremendous strides toward Understanding the Rule of Life by Harnessing the Data Revolution, two of NSF’s Big Ideas, and will support activities that span NSF priority areas, including in Integrative Organismal Systems (IOS), Computer Information Science and Engineering (CISE), and Chemical, Bioengineering, Environmental, and Transport Systems (CBET).

Principal Investigator: Dr. Susan McCouch (Cornell PI) Dr. Stephen Moose (UIUC PI)
Funding Period: October 1, 2021 – September 30, 2026
Funding Source: NSF
Funding Amount: $25,000,000
Collaborating Partnering Institutions: Cornell University, University of Illinois, and University of Arizona.

AFRI: DSFAS: Digital Infrastructure for Research and Extension on Crops and Technology for Agriculture (DIRECT4AG)

Overview: Past advances in science and technology, coupled with effective translational research, have driven dramatic gains in the productivity of agricultural systems. Current and future challenges demand transformational breakthroughs, rapid adoption of innovations, and consumer acceptance of these solutions. Ultimately, the success of modern agriculture, and the realization of food security will depend on enhancing the scale, speed, and interactivity of communication throughout agricultural systems. We propose to design and implement Digital Infrastructure for Research and Extension on Crops and Technology for Agriculture (DIRECT4AG). The DIRECT4AG platform will demonstrate on-farm how sensors, novel genetics, and data analytics can provide rich datasets for monitoring water use and agricultural management strategies, which will better inform decision support tools for enhancing the efficiency of maize production. A systems-level approach that integrates data from the entire growing season and multi-scale data layers will identify new insights into complex interactions. The data and capabilities of DIRECT4AG will enable innovative approaches to delivering digital agriculture to both large-scale farms in the Midwest corn belt and to Limited-resource, Small-scale and Socially Disadvantaged Farmers within the Black Belt Counties in Alabama. Design of both the platform and the research has incorporated stakeholder feedback from its inception and engagement with producers is emphasized throughout the project. Overall, the DIRECT4AG platform will establish an efficient feedback loop that transforms the concept of cooperative Extension for the era of digital agriculture, enabling it to evolve and keep pace with the
ever-changing advancements in research and technology.

Principal Investigator: Dr. Anthony (Tony) Studer
Funding Period: June 1, 2021 – May 31, 2024
Funding Source: USDA/NIFA
Funding Amount: $822,906
Collaborating Partnering Institutions: Tuskegee University

CPS: Frontier: Collaborative Research: COALESCE: COntext Aware LEarning for Sustainable CybEr- agricultural system

Overview: The COALESCE project seeks to transform CPS capabilities in agriculture by developing a novel, context-aware cyber-agricultural system that encompasses sensing, modeling, and actuation to enable farmers to respond to crop stressors with lower cost, greater agility, and significantly lower environmental impact than current practices. The technical objectives are to embed biophysics in machine learning for individualized crop modeling, to apply multi-modal information fusion and robust learning for individualized sensing, to implement data-driven, multi-scale planning and reasoning, and to develop individualized sensing and actuation via autonomous robots with dexterous manipulators. Modeling of biophysical conditions in reasoning models contributes to CPS research areas in data analytics, information management, and real-time systems. The individualized sensing thrust contributes to data analytics, information management, and autonomy research areas. Multi-scale reasoning and farm management based on individualized actuation contributes to the areas of control, data analytics, autonomy, networking, safety, and real-time systems research areas.

Principal Investigator: Dr. Soumik Sarkar (Iowa State PI) Dr. Girish Chowdhary (UIUC PI)
Funding Period: March 15, 2021 – March 14, 2025
Funding Source: NSF
Funding Amount: $2,000,000
Collaborating Partnering Institutions: Iowa State University, University of Illinois, George Mason and University of Arizona.


National AI Institute: Artificial Intelligence for Future Agricultural Resilience, Management, and Sustainability (AIFARMS)

Overview: The AIFARMS Institute will combine a broad and outstanding team of foundational AI researchers, world-leading AI-driven agricultural research, unique experimental testbeds, and an extensive education portfolio of unique digital agriculture degrees, workforce training and farmer outreach. Four tightly integrated, multidisciplinary thrusts will advance core AI research areas such as computer vision, machine learning, soft object manipulation and intuitive human-robot interaction to solve major agricultural problems: addressing labor shortages with autonomy, advancing efficiency and welfare in animal agriculture, enhancing environmental resilience of crops, and safeguarding soil health. World-leading researchers from our five academic and two industry partners will direct a team of PhD students and postdoctoral researchers, forming a research cohort trained to the highest level in both computer science and agriculture. Joint CS+Agriculture degree programs at BS and MS levels will help build a highly qualified workforce. Outreach efforts will work to ensure all communities benefit from emerging technologies. We will create the AIFARMS Hub, a global clearing house for AI-driven Agriculture research to foster and coordinate a large external community around AI-driven innovation in Agriculture, with a far broader research agenda than one Institute can tackle alone.

Principal Investigator: Dr. Vikram Adve
Funding Period: September 1, 2020 – August 31, 2025
Funding Source: USDA/NIFA
Funding Amount: $20,000,000
Collaborating Partnering Institutions: Michigan State University, Tuskegee University, University of Chicago, Donald Danforth Plant Science Center, Argonne National Lab, USDA-ARS.

NRI: INT: Increasing the Level of Autonomy for Agricultural Robots Through Effective Interaction and Programming Paradigms

Overview: Agriculture is currently facing a labor crisis. Automating large equipment only partially addresses this problem due to issues such as soil compaction, overuse of chemicals, and cost of equipment. Recent research has revealed that small, low-cost robots deployed beneath the crop canopy can coordinate to create more sustainable agroecosystems through techniques like mechanical weeding, spot spraying, and cover crop planting. These small robots may make it possible to for small and large farms to reduce costs of inputs in a scale-neutral fashion. However, before agbots can be ubiquitously used at scale for cost sensitive production systems like corn and soybean, they need to be made easy-to-use by growers who are managing large acreage with little time to spare. This proposal aims to develop software tools to make programming fleets of robots easier while providing tools for runtime monitoring. We will also develop the interaction modules for the agbots, through behavioral planning and interface design. Through intelligent interaction, we will enable natural collaboration with the robots on the field and effective remote supervision from afar. In this integrative research, our cross-disciplinary team combines experts from human-robot interaction, agricultural robotics, verification, programming languages, and experimental economics. Leveraging these strengths, and the UIUC Center for Digital Agriculture, we will develop a new autonomous farm testbed through this effort to advance the science and practice of coordinated agricultural robotics.

Principal Investigator: Dr. Katie Driggs-Campbell
Funding Period: September 1, 2020 – August 31, 2025
Funding Source: USDA/NIFA
Funding Amount: $1,200,000

Center for Research on Autonomous Farming Technologies (CRAFT)

Overview: The Center for Digital Agriculture’s Center for Research on Autonomous Farming Technologies (CRAFT) will unite researchers, industry, educators, and stakeholders to drive research, education, and outreach for autonomous systems in agriculture across Illinois. Our long-term vision over the next 3-5 years is to setup world class Autonomous Farm testbeds (one in Urbana-Champaign, and one in U-Chicago at the Argonne National Lab Batvia location) as shared facilities to drive AI research for agriculture in three key areas: (1) Advancing AI for under-canopy commodity (corn-soybean) crops, including weeding and spraying robots and soil sensor networks; (2) Advancing AI for urban food garden robots with rail mounted and low-cost mobile robots; (3) Advancing AI for plant manipulation in berry-nut orchards with low-cost mobile robots and soft manipulators. The testbeds will drive key research, education, and outreach activities designed to improve Illinois farmers’ productivity, sustainability, and profitability, and accelerate new opportunities in high-tech agriculture in Illinois. Leveraging the testbeds our team will also assess issues in human impact of AI on agriculture, including safety, retraining, and job creation. To achieve our goals, we will work with the Illinois Center for Digital Agriculture, John Deere, EarthSense, Microsoft, Corteva, IBM, and other industry partners. During the 1 year time-frame of this project, our goal is to setup the autonomous farm testbeds; develop shared resources for follow-on research funding; conduct field days for farmers, media, industry, and civic bodies; conduct workshops at DPI locations industry engagement, and create compelling preliminary results for pursuing externally funded grants.

Principal Investigator: Dr. Girish Chowdhary
Funding Period: October, 2020 – October 2022
Funding Source: DPI
Funding Amount: $125,000
Collaborating Partnering Institutions: University of Chicago