Project Grant 2507344
- 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...
- This $649,999 Project Grant award from the National Science Foundation (NSF) under the Technology, Innovation, and Partnerships (CFDA 47.084) program supports Farmsense, Inc., a self-certified small disadvantaged business, in developing novel sensor technologies for precise insect pest monitoring and surveillance in agricultural settings. The project aims to create a system inspired by how bats detect and discriminate between different insects, allowing for tracking of insect pests down to the...
- 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 $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...
- The National Science Foundation (NSF) awarded a $1,040,107 project grant under its Biological Sciences (CFDA 47.074) Federal Grant Program to the University of Idaho. The grant will fund the development of an artificial intelligence-powered instrument that can identify small mammal species, discriminate between individuals, and measure their body weight and morphological traits in real-time without the need for animal capture and handling. This innovative technology will significantly reduce the...
- This Project Grant award from the National Science Foundation (CFDA 47.074 - Biological Sciences) provides $797,762 to Mississippi State University to develop and implement non-lethal methods for monitoring pollinator species in forests using acoustics and camera-based artificial intelligence (AI). The key goals of this 4-year project are to: 1) Create AI-powered software that can automatically identify pollinator species in real-time, allowing scientists and conservationists to track changes in...
- This $354,138 three-year Project Grant from the National Science Foundation's Computer and Information Science and Engineering program (CFDA 47.070) supports Colorado State University's development of an animal-borne adaptive acoustic environmental monitoring system. Colorado State University's Sponsored Programs division will utilize the funding to create a wearable acoustic monitoring device and associated machine learning tools to allow wildlife to serve as mobile sensors. This will enable...
- 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 $207,291 four-year Project Grant award from the National Science Foundation's Biological Sciences program (CFDA 47.074) supports research to develop Artificial Intelligence (AI) tools to analyze camera trap imagery of animals with seasonal camouflage adaptations. The research aims to understand how these species cope with environmental variability, including changes in snow cover, and remain camouflaged against their backgrounds. The project will create publicly available AI tools to assess...
- This $198,141 project grant awarded by the National Science Foundation's Biological Sciences program (CFDA 47.074) seeks to enhance predictive understanding of global species distributions through the development of advanced generative artificial intelligence (AI) models. The project aims to create a versatile foundation model that can be used by scientists, conservationists, and educators to better understand and protect the natural world. By training this model on a vast array of environmental...
This Project Grant award from the National Science Foundation (CFDA 47.084 - NSF Technology, Innovation, and Partnerships) provides $304,996 to Ai Sense LLC to develop a non-invasive, AI-powered wildlife deterrence system. The system aims to detect wildlife using computer vision, localize the animals, and deploy species-specific acoustic deterrents through directional sound waves. The research objectives include developing lightweight, real-time object detection models for embedded hardware, designing adaptive acoustic payloads tailored to animal behavior, and analyzing long-term behavioral data to understand habituation patterns and refine the deterrence logic. This innovative technology has the potential to provide an affordable, scalable solution to address wildlife-related crop loss and landscape damage, promoting biodiversity, reducing chemical runoff, and improving land access for farmers, gardeners, and land managers.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $305.0k | 9/5/25 |