This $275,000 National Science Foundation (NSF) Technology, Innovation, and Partnerships (CFDA 47.084) Project Grant award supports the development of DigitFOAL, an early labor warning system for safe and successful foal delivery in the equine industry. The project aims to leverage state-of-the-art dual wearable photoplethysmography (PPG) sensors and a pre-trained deep learning algorithm to monitor critical physiological signals and predict foaling stages in real-time. The innovation is expected...
The National Science Foundation awarded Vence Corp a $255,754 Project Grant under the NSF Technology, Innovation, and Partnerships program (CFDA 47.084) on March 15, 2022 to develop an Internet of Things platform for connected livestock monitoring and virtual fencing. The platform will utilize sensor data to track animal movement, activity, and health metrics in real-time. This will enable ranchers to make more informed land management decisions regarding grazing practices while also...
The National Science Foundation (NSF) awarded a $998,857 Cooperative Agreement under its NSF Technology, Innovation, and Partnerships (CFDA 47.084) program to Ranchcheck Inc. on March 15, 2024. The project aims to develop and test low-cost ear tags that use audio and electrical stimulation to reinforce the natural herd instinct of individual livestock, enabling higher stock density grazing to reduce greenhouse gas emissions and improve rangeland ecosystems. Key innovations include a system using...
The National Science Foundation (NSF) awarded a $294,996 Technology, Innovation, and Partnerships (CFDA 47.084) Project Grant to Semen And Embryo Advanced Reproductive Technologies (Smart), LLC on July 1, 2024. The grant supports a Small Business Innovation Research (SBIR) Phase I project focused on developing machine learning models and computer vision systems to improve the success rates of sheep and goat embryo transfer. The research aims to identify key features in embryos that can be used...
The federal Project Grant award of $900,000.00 was provided by the United States Department of Agriculture's National Institute of Food and Agriculture under the Agriculture and Food Research Initiative (CFDA 10.310) program. The grant is funding research at the University of California, Davis to externally validate and optimize a deep artificial neural network (ANN) model that can predict the spontaneous cure of metritis, a common bovine disease, in dairy cows. The research aims to integrate...
The National Science Foundation (NSF) awarded a $981,168 Cooperative Agreement under its Technology, Innovation, and Partnerships (CFDA 47.084) program to Solarid Ar LLC, a minority-owned, veteran-owned, Asian-Pacific American-owned limited liability company. This 2-year project aims to develop an artificial intelligence (AI)-driven insect trapping and identification system that can detect, identify, and quantify insects entering insect control devices in real-time. The primary objective is to...
This National Science Foundation (NSF) Technology, Innovation, and Partnerships (CFDA 47.084) Project Grant award of $275,000 supports the development of an automated, AI-supported platform for rapid detection of food pathogens. The key products/services to be delivered include: Building an automated sample preparation module to enhance pathogen enrichment across food groups. Developing an automated experimental design workflow to accelerate the optimization of enrichment time. Using...
This National Science Foundation Project Grant of $750,000 will fund the development of dairy protein product innovations through the NSF Technology, Innovation, and Partnerships program (CFDA 47.084). Awarded on December 15, 2022 to Boise State University, the project aims to modernize dairy processing using artificial intelligence, advanced sensing and manufacturing technologies. Key deliverables include creating AI-based solutions to automate real-time protein analysis in milk processing...
This $254,580 National Science Foundation Technology, Innovation, and Partnerships project grant funds the development of artificial intelligence-mediated orthopedic implant design and selection software by Med Dimensions, LLC. The Phase I small business innovation research project aims to create a machine learning system that incorporates bone density screening and 2D to 3D reconstruction to generate anatomically-derived implants and guide implant placement for veterinary use. By integrating...
This Project Grant award of $649,946.00 was provided by the Department of Agriculture National Institute of Food and Agriculture under the Small Business Innovation Research (SBIR) / Small Business Technology Transfer (STTR) Program (CFDA 10.212) to Invictus Informatics LLC, a for-profit limited liability company. The award will support the development of a web-based data management system capable of inexpensively storing, managing, and analyzing high-throughput genetic data sets for smaller...