Project Grant 20243353041934
Award Date
7/1/24
Completion Date
5/6/25
Dollars Obligated
$175K
Federal Agency
Institute of Food Production and Sustainability
Awardee
Madain Corp. (Y4WKQMHBM6Z5)
Federal Grant Program
10.212
Assistance Type
Project Grant
Place of Performance
Chula Vista, CA 91913, USA
Similar Awards
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 $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...
The U.S. Department of Agriculture's (USDA) Agriculture and Food Research Initiative (AFRI) awarded a $727,981 project grant to New Mexico State University (NMSU) to develop advanced technologies for robot-enabled smart, sustainable, and eco-friendly farming. The key objectives are to establish a team of cooperative robots with high autonomy to perform various agricultural tasks during planting, cultivation, and harvesting to enhance productivity and address challenges like water scarcity and...
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) 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...
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 U.S. Department of Agriculture's National Institute of Food and Agriculture (AFRI program, CFDA 10.310) provides $297,453 to the University of Florida to develop an AI-powered conversational platform that enables farmers, policymakers, and other non-experts to assess crop damage and monitor recovery using satellite data following extreme weather events. The platform will enhance satellite imagery to a resolution of one meter, providing highly detailed...
The University of Nebraska was awarded a $591,306 Project Grant from the USDA's Agriculture and Food Research Initiative (AFRI) program to develop a tool called DeepYield. DeepYield uses artificial intelligence and deep learning techniques to predict sugar beet yields for farmers based on various data inputs. The project aims to help farmers manage their land more effectively by providing tailored insights on factors influencing yields. The University is partnering with the Western Sugar...
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...