Project Grant 2025971
- This $255,993 Project Grant from the National Science Foundation will fund Wildlife Imaging Systems LLC to develop automated video processing software and services for wildlife conservation. Through its Small Business Innovation Research program, NSF aims to foster innovation and support small businesses engaged in scientific and engineering R&D. Wildlife Imaging will use the grant to create a web-based software-as-a-service platform that can detect, track, and classify wildlife in...
- The National Science Foundation (NSF) awarded a $275,000 Small Business Innovation Research (SBIR) Phase I grant to Biotronic Innovations LLC under the NSF Technology, Innovation, and Partnerships program (CFDA 47.084). The project aims to develop a high-performance, drone-based wildlife telemetry technology that is economical and easy to use. The research plan focuses on creating a co-robotic system that employs an unmanned aerial vehicle (UAV) as an assistant wildlife tracker, fusing data from...
- Summary: AI-Powered Wildlife Deterrent System AI Sense LLC received a $305K Small Business Innovation Research (SBIR) Phase I project grant from the National Science Foundation (NSF) Technology, Innovation, and Partnerships (TIP) program (CFDA 47.084) awarded October 1, 2025, with completion targeted for September 30, 2026. The company is developing an artificial intelligence-powered, non-lethal wildlife deterrent system designed to prevent crop and landscape damage through computer vision...
- This National Science Foundation (NSF) Technology, Innovation, and Partnerships (CFDA 47.084) Project Grant award of $274,866 to Myaniml, a minority-owned small business, aims to develop and demonstrate the feasibility of an artificial intelligence (AI) technology to detect bovine respiratory disease in cattle early on. The proposed solution involves an app that can automatically take pictures of cattle, use AI to analyze the muzzle, and immediately notify the cattle owner of any infected...
- This National Science Foundation (NSF) Biological Sciences (CFDA 47.074) grant award provides $817,942 to Worcester Polytechnic Institute (WPI) to conduct research focused on advancing molecular and analytic tools to disrupt the illegal wildlife trade. The key research objectives include: Developing near real-time genetic identification capabilities for 185 shark, ray, and turtle species involved in illegal wildlife trafficking. Designing new machine learning frameworks and data labeling...
- The National Science Foundation (NSF) awarded a $259,330 Project Grant under its Social, Behavioral, and Economic Sciences (CFDA 47.075) program to the University of Pittsburgh. This 1-year grant, awarded on May 1, 2024, will support research on "The Datafied Animal: Biologging, Machine Learning and Wildlife Conservation." The project will analyze the ethical, social, and practical implications of using new technologies like miniaturized animal tags, GPS-telemetry, and machine learning...
- This $122,327 project grant from the National Science Foundation's Engineering program (CFDA 47.041) supports an interdisciplinary collaboration to advance techniques for discovering, analyzing, and disrupting wildlife trafficking networks. Led by researchers at the City University of New York's John Jay College, the three-year award period from August 2022 to July 2025 will develop new algorithms and tools to automatically collect wildlife trafficking data from multiple online platforms on an...
- 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...
- This Project Grant award from the National Science Foundation's Biological Sciences (CFDA 47.074) Federal Grant Program provides $269,740 to the College of William and Mary to develop an artificial intelligence (AI)-driven system for individual photo-identification and tracking of Florida manatees, a threatened marine species. The key products and services to be delivered include: New algorithms grounded in explainable AI to identify and track individual manatees by their distinctive features...
- 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...
Wildlife Protection Management, Inc. received a $255,732 Project Grant award from the National Science Foundation on May 15, 2021 to develop a horse visual identification system. The grant is part of the NSF Technology, Innovation, and Partnerships program (CFDA 47.084), which seeks to advance science and engineering research leading to breakthrough technologies and solutions to national challenges. Under the award, Wildlife Protection Management will utilize the funding to create a computer vision system that can identify individual horses based on their visual characteristics. The work will be performed in Albuquerque, New Mexico through January 31, 2023. The horse identification technology has applications for supporting wildlife protection efforts through monitoring individual animals.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $0 | 6/13/22 | ||
| Not listed | $0 | 5/18/21 | ||
| Not listed | $255.7k | 5/12/21 |