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 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 $300,000 National Science Foundation project grant supports the Biodiversity Outreach Network's IDIGBEES Network initiative. Under the Biological Sciences CFDA 47.074 program, the awardee will digitize over 350,000 bee specimen records and 6,600 images from natural history collections. This comprehensive digitization effort aims to map bee species distributions, identify data gaps, document climate impacts on bees, and establish networks to utilize findings for research, education,...
This Project Grant award from the U.S. Department of Agriculture's National Institute of Food and Agriculture (CFDA 10.310 - Agriculture and Food Research Initiative) provides $300,000.00 to Carnegie Mellon University to develop and test "eBeeVet", a sensor framework for honey bee hives. The project aims to leverage machine learning methods, scalable data management systems, and cost-effective sensing devices to monitor and propose solutions for the drastic declines in honeybee...
The National Science Foundation Office of Emerging Frontiers and Multidisciplinary Activities awarded $149,947 to George Mason University under Project Grant FW-HTF-P to support data science research and tools to benefit beekeepers from October 1, 2021 to September 30, 2022. The award is being used to develop data science solutions under the Social, Behavioral, and Economic Sciences program (CFDA 47.075) to save bee populations and transform the future work of beekeepers through monitoring and...
This $949,400 project grant from the US Department of Agriculture National Institute of Food and Agriculture's Agriculture and Food Research Initiative competitive grants program (CFDA 10.310) supports the creation of decision support tools to improve bee health and ecosystem services through 2025. The Pennsylvania State University will synthesize complex data from multiple national databases and expert opinions into spatial-temporal data layers, code, and statistical analysis pipelines. These...
The National Science Foundation awarded a $217,080 project grant to the University of Colorado Boulder under the Biological Sciences federal grant program (CFDA 47.074) to support the "COLLABORATIVE RESEARCH: DIGITIZATION TCN: EXTENDING ANTHOPHILA RESEARCH THROUGH IMAGE AND TRAIT DIGITIZATION (BIG-BEE)" effort. The grant will fund the digitization of images and trait data to extend ongoing research on Anthophila, commonly known as bees, through September 2024. By digitizing existing...
The National Science Foundation awarded a $309,216 Project Grant to the University of Kansas Center for Research Inc. under the Biological Sciences federal grant program (CFDA 47.074) to support the "COLLABORATIVE RESEARCH: DIGITIZATION TCN: EXTENDING ANTHOPHILA RESEARCH THROUGH IMAGE AND TRAIT DIGITIZATION (BIG-BEE)" project. The three-year project aims to advance biological sciences research through the digitization of images and trait data of bee specimens housed in natural...
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...
The U.S. Department of Agriculture's Agriculture and Food Research Initiative (CFDA 10.310) awarded a $435,178 project grant to Utah State University to explore and exploit a reservoir of multi-sensor data collected from field experiments with managed honey bee colonies. The project will curate this dataset, which includes thousands of frame photographs and millions of sensor measurements, and make it publicly available to the U.S. precision apiculture community. The university will use...
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 using convolutional neural networks.
Development of an advanced computer vision algorithm capable of identifying bee species to the genus and species level, which will be integrated into a website at https://beemachine.ai.
Establishment of a research hub website that will allow users to upload bee images for automated identification, validate machine-generated identifications, and enable large-scale data collection and sharing among researchers and citizen scientists.
This project aims to significantly expand the capacity for reliable, species-level bee identification to support ecological research, conservation efforts, and the maintenance of critical pollination services. The University of Wisconsin-Madison is the lead institution executing this award.