Project Grant 1951256

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...

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 Project Grant award of $1,000,000 from the National Science Foundation (NSF) under the Technology, Innovation, and Partnerships (TIP) program (CFDA 47.084) aims to develop an automated pest management system for rural farms. The project integrates artificial intelligence (AI), Internet of Things (IoT), and machine learning to reduce reliance on manual labor and outdated pest management practices. Key objectives include automating the pest monitoring process, providing real-time pest...

Farmsense, Inc. received a $275,000 Project Grant award from the National Science Foundation (NSF) Technology, Innovation, and Partnerships (CFDA 47.084) program. The award supports the development of an automated, digital classification and counting system for mosquitoes to enable more effective vector control. The project aims to create an end-to-end digital platform for mosquito surveillance that can support the work of vector control districts. The platform will leverage real-time insect...

Field Data Services LLC was awarded a $165,685 Project Grant from the United States Department of Agriculture National Institute of Food and Agriculture under the Small Business Innovation Research (SBIR) Program / Small Business Technology Transfer (STTR) Program (CFDA 10.212). The funding will support a Phase I SBIR project to determine the technical feasibility of using newly available light detection and ranging (LiDAR) on a chip technology to detect insect pollinators and characterize...

The U.S. Department of Agriculture's (USDA) National Institute of Food and Agriculture (NIFA) awarded a $262,737.48 project grant to Colorado State University under the Agriculture and Food Research Initiative (AFRI) program. The goal of this 2-year project is to develop an AI-based decision support system that will allow farmers and other stakeholders to identify agricultural pests by uploading cellphone photos to a mobile application. This system will target pests of small grains in the Inland...

This $268,500 cooperative agreement from the Department of Agriculture Animal and Plant Health Inspection Service will support the development of artificial intelligence algorithms for the automatic detection of pests in high water content plants and fruits. Awarded to Stanford University on August 12, 2022 under the Plant and Animal Disease, Pest Control, and Animal Care program (CFDA #10.025), the project aims to modify an existing X-ray phase-contrast imaging system to enable continuous...

This federal Project Grant award, totaling $587,749.00, was made by the U.S. Department of Agriculture's (USDA) National Institute of Food and Agriculture (NIFA) through the Agriculture and Food Research Initiative (AFRI) program. The award will support research by Virginia Polytechnic Institute & State University (Virginia Tech) with the long-term goal of developing automated pest detection and surveillance capabilities for crops. The project aims to optimize low-cost samplers for...

This $270,128 SBIR Phase I award from the National Science Foundation (NSF) Technology, Innovation, and Partnerships (TIP) program (CFDA 47.084) supports the development of a low-cost, field-use DNA-based rapid diagnostic device for detecting plant diseases. The project aims to create a user-friendly, battery-operated testing kit that allows farmers to quickly identify diseases like citrus greening in their fields, enabling early intervention and more sustainable farming practices. The 9-month...

Advanced Growing Resources Inc. was awarded a $255,786 National Science Foundation Project Grant under the NSF Technology, Innovation, and Partnerships program to develop a novel handheld spectroscopy device for early detection of crop afflictions. The one-year award will support the design of an affordable imaging spectrometer integrated with precision optics to bridge gaps in existing technologies. The device will be deployed to collect spectral data from grapes, a high-value crop...