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...
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 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 $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 $250,000 project grant awarded by the National Science Foundation's Computer and Information Science and Engineering (CFDA 47.070) program supports an interdisciplinary research effort led by the University of Virginia to develop a networked cyber-physical system for controlled-environment agriculture (CEA). The project aims to optimize crop production and energy efficiency in CEA facilities to address global food security challenges. Key aspects of the research include: 1) integrating...
This Project Grant awarded by the U.S. Department of Agriculture's National Institute of Food and Agriculture (CFDA 10.310 - Agriculture and Food Research Initiative) provides $728,000 to leverage generative AI to develop and deploy customizable aerial robots for multi-scale and multi-type field data collection in agricultural settings. The project aims to enable real-time data processing and analytics to offer on-demand crop information to stakeholders, focusing on applications such as...
This $299,999 project grant from the US Department of Agriculture National Institute of Food and Agriculture's Agriculture and Food Research Initiative (AFRI) will support research collaborations between the University of Illinois and Phenorob to strengthen outcomes at the University's AI Institute for Farms and Agriculture (AIFARMS). The partners will work on four research thrusts through November 2025: 1) improving autonomy, scale and capabilities of digital agriculture tools; 2) enhancing...
This National Science Foundation (NSF) Project Grant award under the Computer and Information Science and Engineering (CFDA 47.070) program provides $451,000 in funding to Clemson University to develop a networked cyber-physical system (CPS) for controlled-environment agriculture (CEA). The key objectives are to reduce energy consumption and costs while optimizing crop production efficiency in CEA facilities. The project will integrate advanced data analytics, renewable energy, and energy...
This federal Project Grant award, totaling $875,000.00, was provided by the U.S. Department of Agriculture's National Institute of Food and Agriculture through the Agriculture and Food Research Initiative (AFRI) competitive grants program. The project aims to develop a new decentralized system that integrates wastewater treatment with hydroponic farming, leveraging innovations in sensors, wastewater treatment, hydroponic systems, and machine learning. The research will be conducted at...
This $4 million project grant from the Department of Agriculture's National Institute of Food and Agriculture (NIFA) Agriculture and Food Research Initiative (AFRI) program will fund research at Virginia Polytechnic Institute and State University (Virginia Tech) to establish a testbed for applications of advanced artificial intelligence and sensor technologies to reduce carbon dioxide (CO2) emissions from indoor and controlled environment agriculture through recycling CO2 generated by human...
This Project Grant award from the National Science Foundation's Office of International Science and Engineering (CFDA 47.079) is providing $300,000 to Georgia Tech Research Corporation to advance innovations in digital agriculture and optimization through an international research network. The "AI4OPT-AG" project will leverage controlled-environment agriculture and emerging technologies like artificial intelligence, robotics, and advanced data analytics to enhance global food security and productivity. Key focus areas include developing high-fidelity digital twins, integrating sensor data and plant physiology models, and driving optimization of controlled-environment farming operations. The 2-year project will involve collaboration with targeted institutions in Japan, Australia, and India to accelerate R&D in this domain and support the UN's goal of doubling global food production by 2050.