Project Grant 2520192
- 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 Project Grant award from the National Science Foundation's Office of International Science and Engineering (CFDA 47.079) provides $225,000 to the University of Missouri System to develop an AI-driven "HARVEST" system that assists farmers in addressing agricultural challenges such as pest outbreaks, crop diseases, nutrient deficiencies, and water stress. The project leverages sensors, drones, and mobile robots to enable early detection and provide real-time guidance to farmers on...
- This EAGER (Early-concept Grants for Exploratory Research) federal Project Grant award of $300,000 is provided by the National Science Foundation through its Office of International Science and Engineering (OISE) program (CFDA 47.079). The goal of this 2-year project is to develop and deploy artificial intelligence (AI)-driven tools to enhance agricultural productivity and sustainability worldwide. The key products and services to be delivered include: (1) Developing hybrid machine learning...
- The National Science Foundation's Office of International Science and Engineering (OISE) awarded a $400,000 Project Grant titled "AI-ENGAGE: DEVA: Disease Detection and Effective Control Using Versatile UAVs and UGVs in Apple Orchards" to Purdue University. The project aims to develop an integrated robotic system that combines drones (UAVs) and ground robots (UGVs) with smart sensors and artificial intelligence (AI) to detect and precisely treat diseases like apple scab, fire blight,...
- The National Science Foundation (NSF) Technology, Innovation, and Partnerships (TIP) program awarded a $1,000,000.00 Project Grant to the University of Missouri System, doing business as Missouri University of Science & Technology (Missouri S&T), to develop an automated pest management system for rural farms. The project aims to integrate artificial intelligence (AI), Internet of Things (IoT), machine learning, and affordable communication networks to reduce reliance on manual labor...
- This Project Grant award from the National Science Foundation's Office of International Science and Engineering (CFDA 47.079) provides $399,992 to Kansas State University to develop an AI-enabled computer vision system called "Smart Scout" to help soybean farmers monitor crop health and estimate yields. The project aims to address the challenge of soybean lodging, where plants fall over before harvest, reducing yields and making harvesting more difficult. Smart Scout will integrate...
- This Project Grant award of $195,013 from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program will establish the AI4AG living lab at Cornell University. AI4AG will serve as an accessible testbed to accelerate the development and deployment of artificial intelligence (AI) technologies for agriculture. The project will create a shared space equipped with tools, data, and expertise to support AI research and testing in real-world agricultural...
- 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 federal Project Grant award from the National Science Foundation's Office of International Science and Engineering (CFDA 47.079) provides $175,000.00 to the University of Tennessee to develop an AI-powered agricultural response system called HARVEST. The project investigates smart farming technologies that use artificial intelligence (AI) to help farmers protect crops, use resources more efficiently, and reduce reliance on chemicals. Key innovations include an early-warning module to detect...
- This Project Grant award from the National Science Foundation's Office of International Science and Engineering (CFDA 47.079) provides $300,000 in funding to Washington State University (WSU) from May 1, 2024 to April 30, 2026. The project aims to develop collaborative research using AI/ML methods to improve agricultural production and climate resilience in India. Key objectives include: Building and testing new AI-enabled infrastructure for in-field crop monitoring and phenotyping, with a focus...
This Project Grant award from the National Science Foundation's Office of International Science and Engineering (OISE) program (CFDA 47.079) provides $400,000 to Iowa State University to develop AI-based decision support tools for farmers to quickly identify and manage agricultural pests, diseases, and weeds. The project will create smartphone apps and a chatbot that allow farmers to take photos of problems and receive instant identification and management advice, making advanced pest control accessible globally. This collaborative effort between the U.S. and Quad member countries will ensure the AI models work effectively across diverse crops, environments, and farming systems. The research develops an end-to-end machine learning pipeline with uncertainty quantification and federated learning to identify thousands of agricultural threats relevant to major regions worldwide. This project addresses the critical challenge of accurate, real-time pest management to enhance agricultural production, sustainability, and resilience globally.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $400.0k | 8/1/25 |