Project Grant 2529183
- This Project Grant award for $249,947.00 from the National Science Foundation's Biological Sciences (CFDA 47.074) program supports the development, testing, and implementation of non-lethal methods to monitor pollinator populations in managed forests using acoustic and camera-based artificial intelligence (AI) technology. The primary goal is to create easy-to-use software that can track pollinator activity patterns, providing valuable insights to inform evidence-based forest management practices...
- This Project Grant award from the National Science Foundation (NSF) Biological Sciences program (CFDA 47.074) provides $372,442 to Kansas State University to develop an automated bee identification and data sharing platform. The key objectives are: Creating a large, expertly-labeled image dataset of at least 1,000 North American bee species to train computer vision algorithms. Developing an AI-based classification model using convolutional neural networks to identify bee species from images....
- This $305,007 federal Project Grant award from the National Science Foundation's Biological Sciences (CFDA 47.074) program will support the development of a research hub for automated bee identification, data sharing, and citizen science using computer vision technology. The key products and services to be delivered under this 3-year award include: Creation of a large, expertly-labeled image dataset of at least 1,000 North American bee species to train an AI-based bee classification model...
- This Project Grant awarded by the National Science Foundation (NSF) Biological Sciences program (CFDA 47.074) aims to develop a large dataset of expertly labeled bee images, create an AI-based classification model to identify bee species, and establish a research hub website for automated bee identification, data sharing, and citizen science. The total funding amount is $342,866.00, to be provided over the award period from August 15, 2024 to July 31, 2027. The University of Kansas Center for...
- This federal Project Grant award from the National Science Foundation (CFDA 47.074 Biological Sciences) provides $452,959.00 to the University of California, Merced for a research project titled "Downscaling the Effects of Network Structure on Pollinator Fitness". The project aims to understand how individual bee behaviors, such as flower visitation and foraging time, impact their reproduction and the persistence of bee populations. By studying a native solitary bee species through...
- This National Science Foundation Project Grant of $544,492 will fund research at Montana State University from August 1, 2022 to July 31, 2025 under the Engineering program (CFDA 47.041). The research aims to develop high-fidelity computational models and physical experiments to better understand the structural mechanics of floral stamens during buzz pollination by bees. This will provide insight into how vibratory forces optimize pollen release. The researchers will quantify forces bees...
- This Project Grant award from the National Science Foundation (NSF) Integrative Activities program (CFDA 47.083) supports research, education, and outreach activities focused on understanding and improving the health and swarming behavior of honeybee colonies. The $325,000 award to North Dakota State University (NDSU) will fund the development of novel diagnostic methodologies that integrate vibroacoustic and electric field measurements to monitor the health of bee colonies, aiming to reduce...
- This Project Grant award from the National Science Foundation's (NSF) Biological Sciences program (CFDA 47.074) provides $934,766 to Rutgers, The State University to conduct research on native bees in northeastern forests. The project, titled "Evidence-Based Conservation for Native Bees in Northeastern Forests: A Biodiversity Frontier," will collect field data and DNA from pollen on bees to identify the plant species they feed on. The goal is to determine if forest bees would benefit...
- This $654,761 National Science Foundation (NSF) Biological Sciences (CFDA 47.074) Project Grant awarded to the Chicago Horticultural Society's Chicago Botanic Garden division will investigate how bee populations respond to rapid environmental changes. The researchers will use in-situ temperature manipulations and cross-population comparisons to measure the direct and indirect effects of climate change, including impacts mediated through changes in food resources and nest parasites, on vital...
- This $1,791,864 federal Project Grant award from the National Science Foundation's Biological Sciences program (CFDA 47.074) will support research to understand how landscape context and configuration interact with on-farm practices to shape pollinator supply, and how social, institutional, and environmental factors influence farmers' ability and interest in collective action to address pollinator declines. The research will be conducted by Cornell University, with sub-awards to the Centre for...
This $797,762 Project Grant awarded by the National Science Foundation (CFDA 47.074 Biological Sciences) to Mississippi State University seeks to develop non-lethal methods for monitoring bee pollinators in managed forests using acoustics and camera-based artificial intelligence. The primary goal is to create easy-to-use software that can help track pollinator activity patterns, providing valuable insights to support evidence-based forest management practices and pollinator conservation efforts. This research seeks to address challenges in current lethal trapping methods that negatively impact pollinator populations. The award, with a performance period from September 2026 to August 2030, will leverage cutting-edge AI techniques to automatically identify pollinator species in real-time, enabling scientists and conservationists to better understand how forest management impacts important pollinator populations.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $0 | 8/27/25 | ||
| Not listed | $797.8k | 8/19/25 |