Project Grant 2509743
- This $324,213 Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program supports the development of a novel AI infrastructure to integrate multi-scale sensing data and 3D modeling for enhanced crop monitoring and assessment. The key products to be delivered include: An AI system that integrates satellite, drone, and in-situ sensor data to accurately model 3D crop structures, including both above- and below-ground...
- This $175,000 Project Grant awarded by the National Science Foundation's Office of International Science and Engineering (CFDA 47.079) supports the AI-ENGAGE: HARVEST project, which is investigating smart farming technologies that use artificial intelligence (AI) to help farmers protect crops, use resources more efficiently, and reduce reliance on chemicals. The key products and services delivered through this funding include: An early-warning system that merges rapid disease tests with...
- The Department of Agriculture's National Institute of Food and Agriculture awarded a $495,704 Project Grant to Cornell University under the Agriculture and Food Research Initiative competitive grants program. The grant will support Cornell's efforts to address critical workforce needs in agricultural plant sciences for the digital era. Specifically, the university will develop training programs to enhance students' and educators' agricultural literacy and ability to effectively apply advances in...
- This $590,706 Project Grant awarded by the U.S. Department of Agriculture's (USDA) Agriculture and Food Research Initiative (AFRI) program, supports a 3-year initiative by the American Farmland Trust (AFT) to leverage university-based research at the intersection of data science/AI and agricultural areas. The key objectives are to: (1) track and model changes in irrigation land cover patterns using AI-based big data applications, (2) better inform the future of irrigated row crops through...
- This Project Grant award from the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CISE) program (CFDA 47.070) provides $376,178 to Cornell University to develop a secure digital platform that enables privacy-preserving collaboration among dairy farmers. The platform will include user-friendly AI-powered assistants that can provide personalized, data-driven recommendations to help farmers optimize their operations without needing to share private farm...
- This Project Grant award from the National Science Foundation (NSF) Technology, Innovation, and Partnerships (CFDA 47.084) program will provide $200,000 to Iowa State University to develop a national-scale planning roadmap for an Artificial Intelligence (AI)-ready agricultural research testbed called AI-AGARENA. The goal is to create a unified, geographically distributed testbed across multiple locations that can support the development and evaluation of advanced AI technologies in real-world...
- This Project Grant award from the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CFDA 47.070) program provides $1,388,966 to Cornell University, in collaboration with Hofstra University and the University of Illinois, to expand the Break Through Tech AI program. The goal is to democratize access to high-quality artificial intelligence (AI) and machine learning (ML) education and double the number of students served annually to 1,500. The project...
- This Project Grant award from the National Science Foundation's Office of International Science and Engineering (CFDA 47.079) is providing $300,000 to Georgia Tech Research Corporation to advance innovations in digital agriculture and optimization through an international research network. The "AI4OPT-AG" project will leverage controlled-environment agriculture and emerging technologies like artificial intelligence, robotics, and advanced data analytics to enhance global food...
- This EAGER (Early-concept Grants for Exploratory Research) federal Project Grant award of $300,000 is provided by the National Science Foundation through its Office of International Science and Engineering (OISE) program (CFDA 47.079). The goal of this 2-year project is to develop and deploy artificial intelligence (AI)-driven tools to enhance agricultural productivity and sustainability worldwide. The key products and services to be delivered include: (1) Developing hybrid machine learning...
- This National Science Foundation (NSF) Research Traineeship (NRT) Program award to Cornell University will develop an interdisciplinary graduate training and research program on Artificial Intelligence (AI) for Sustainability Sciences and Engineering (AISSE). The $3,000,000 grant, awarded on September 1, 2024, aims to cultivate a skilled workforce proficient in both AI and sustainability to address critical challenges such as climate change and decarbonization of energy and agri-food systems....
This federal Project Grant award from the National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) program provides $195,013 to Cornell University to establish the AI4AG living lab, a shared space for researchers, students, and technology developers to collaborate on creating artificial intelligence (AI) systems to support food production and improve farming efficiency. The AI4AG living lab, embedded within Cornell's broader Agricultural Systems Testbed (CAST), will lower barriers to entry for testing and deploying AI solutions in complex agricultural systems. By providing access to tools, data, and expertise, the project aims to unlock the potential of AI to address major agricultural challenges such as labor shortages, food safety, disease management, and weather variability. The AI4AG initiative will also help train the next generation of agricultural innovators by fostering a community of researchers and students. Through this award, Cornell University will establish the foundational infrastructure and capabilities to accelerate the development and deployment of transformative AI technologies in the US food system.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $195.0k | 8/5/25 |