Project Grant 2520271
- This Project Grant award from the National Science Foundation's Office of International Science and Engineering (CFDA 47.079) provides $300,000 in funding to Washington State University (WSU) from May 1, 2024 to April 30, 2026. The project aims to develop collaborative research using AI/ML methods to improve agricultural production and climate resilience in India. Key objectives include: Building and testing new AI-enabled infrastructure for in-field crop monitoring and phenotyping, with a focus...
- 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 $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 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 Project Grant award of $195,013 from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program will establish the AI4AG living lab at Cornell University. AI4AG will serve as an accessible testbed to accelerate the development and deployment of artificial intelligence (AI) technologies for agriculture. The project will create a shared space equipped with tools, data, and expertise to support AI research and testing in real-world agricultural...
- This Project Grant award from the National Science Foundation's Office of International Science and Engineering (OISE) program (CFDA 47.079) provides $400,000 to Iowa State University to develop AI-based decision support tools for farmers to quickly identify and manage agricultural pests, diseases, and weeds. The project will create smartphone apps and a chatbot that allow farmers to take photos of problems and receive instant identification and management advice, making advanced pest control...
- This Project Grant award, totaling $225,000.00, was provided by the United States Department of Agriculture's (USDA) National Institute of Food and Agriculture under the Agriculture and Food Research Initiative (AFRI) Competitive Grants Program (CFDA 10.310). The funding supports a research project led by Oregon State University to investigate how wheat cultivars and their associated microbial communities, or microbiomes, can be leveraged to enhance yield and improve resilience to abiotic and...
- This Project Grant award from the National Science Foundation's Office of International Science and Engineering (CFDA 47.079) provides $225,000 to the University of Missouri System to develop an AI-driven "HARVEST" system that assists farmers in addressing agricultural challenges such as pest outbreaks, crop diseases, nutrient deficiencies, and water stress. The project leverages sensors, drones, and mobile robots to enable early detection and provide real-time guidance to farmers on...
- This federal Project Grant award from the National Science Foundation's Office of International Science and Engineering (CFDA 47.079) provides $175,000.00 to the University of Tennessee to develop an AI-powered agricultural response system called HARVEST. The project investigates smart farming technologies that use artificial intelligence (AI) to help farmers protect crops, use resources more efficiently, and reduce reliance on chemicals. Key innovations include an early-warning module to detect...
- The National Institute of Food and Agriculture (NIFA) awarded South Dakota State University (SDSU) a $648,885 Project Grant under the Agriculture and Food Research Initiative (AFRI) competitive grants program. The grant will fund research from May 1, 2023 to April 30, 2026 to identify the molecular mechanisms underlying wheat grain yield, quality, and resilience to environmental stress. Specifically, SDSU researchers will fine-tune expression of the S1 gene in wheat, identify S1-interacting...
This Project Grant award from the National Science Foundation's Office of International Science and Engineering (CFDA 47.079) provides $400,000 to Washington State University to harness artificial intelligence (AI) for precision genomic selection models in wheat breeding. The project aims to transform wheat breeding by overcoming limitations in traditional methods, which struggle with analyzing complex interactions between wheat genetics and diverse field environments. The research leverages feature-embedded neural networks to integrate genetic markers, environmental factors, and plant growth measurements to predict wheat performance, especially for drought tolerance. This 3-year project evaluates a core set of 400 wheat lines under normal and drought conditions, collecting environmental data to create indices and response parameters. The trained AI models and resulting tools will be made available as open-source software to enable global application in wheat breeding programs. The project also includes training initiatives to build capacity in this innovative AI-driven approach to wheat improvement, directly contributing to securing global food supplies and enabling farmers to adapt to environmental challenges.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $400.0k | 8/1/25 |