Project Grant 20247000143061
Award Date 7/1/24
Completion Date 6/30/27
Dollars Obligated $300K
Federal Agency
Federal Grant Program
Assistance Type
Project Grant
Place of Performance
Carbondale, IL 62901, USA
Similar Awards
- This federal Project Grant award of $399,992 from the National Science Foundation's Office of International Science and Engineering (CFDA 47.079) will fund the development of "Smart Scout", an AI-enabled computer vision system designed to help soybean farmers monitor crop health, detect pests, and estimate yields in real-time. The system will integrate visual data on plant characteristics, pest damage, and yield indicators to provide standardized, geo-referenced insights that can be...
- This federal Project Grant award of $650,000 from the USDA National Institute of Food and Agriculture (NIFA) under the Agriculture and Food Research Initiative (AFRI) CFDA program aims to investigate the relationship between soybean canopy architecture, carbon assimilation, and water use efficiency under future climate scenarios. The primary objectives are to: 1) create a digital soybean canopy model with detailed 3D geometry, illumination, and microclimate data, 2) develop algorithms for fast...
- This federal Project Grant award for $601,248, awarded by the USDA National Institute of Food and Agriculture (NIFA) under the Agriculture and Food Research Initiative (AFRI) program, aims to develop an automated soil moisture monitoring system for precision agriculture. The key products and services to be delivered include: Design, simulation, and characterization of passive soil moisture sensing coils that can measure soil moisture without requiring a power source. Development of machine...
- This $324,213 Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program supports the development of a novel AI infrastructure to integrate multi-scale sensing data and 3D modeling for enhanced crop monitoring and assessment. The key products to be delivered include: An AI system that integrates satellite, drone, and in-situ sensor data to accurately model 3D crop structures, including both above- and below-ground...
- The U.S. Department of Agriculture's (USDA) National Institute of Food and Agriculture (NIFA) awarded a $737,332 project grant under the Agriculture and Food Research Initiative (AFRI) program to Colorado State University. The 3-year project, beginning June 1, 2024, aims to develop a high-resolution, near real-time monitoring and forecasting system for agroecosystem drought and forage production in the Western Great Plains. The system will leverage satellite and ground observation data as well...
- This $590,706 Project Grant awarded by the U.S. Department of Agriculture's (USDA) Agriculture and Food Research Initiative (AFRI) program, supports a 3-year initiative by the American Farmland Trust (AFT) to leverage university-based research at the intersection of data science/AI and agricultural areas. The key objectives are to: (1) track and model changes in irrigation land cover patterns using AI-based big data applications, (2) better inform the future of irrigated row crops through...
- This $225,000 federal Project Grant from the National Science Foundation's Office of International Science and Engineering (CFDA 47.079) supports the "AI-ENGAGE: HARVEST: HOLISTIC AI-POWERED AGRICULTURAL RESPONSE VALIDATION AND EARLY PREDICTION SYSTEM ACROSS TERRITORIES" research project. The project aims to develop an AI-driven system to address agricultural challenges such as pest outbreaks, crop diseases, nutrient deficiencies, and water stress through early warning modules, digital...
- 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...
- This $921,994 Cooperative Agreement award from the National Science Foundation's (NSF) Integrative Activities program (CFDA 47.083) supports an interdisciplinary research project led by Louisiana State University Agricultural Center (LSU AgCenter) to enhance the resilience of soybean crops to climate change. The project takes a comprehensive, multi-pronged approach to assess climate change impacts on soybean at the cellular, plant, and field levels, and develop precision agriculture solutions....
- This Project Grant award from the National Science Foundation's Office of International Science and Engineering (CFDA 47.079) provides $400,000 in funding to Iowa State University to develop AI-based decision support tools, such as smartphone apps and a chatbot, that help farmers quickly identify and manage agricultural pests, diseases, and weeds in real-time. The project aims to address the critical challenge of accurate, real-time identification and management of agricultural threats across...