Project Grant 80NSSC19K1511

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 Project Grant award of $275,000 from the National Science Foundation (NSF) Technology, Innovation, and Partnerships (CFDA 47.084) program supports the development and evaluation of the Crop Ecosystem Monitoring, Analysis, and Prediction (CROPMAP) tool. The key products and services to be delivered under this STTR Phase I grant include: The CROPMAP tool integrates novel algorithms and models with real-time data feeds to enhance monitoring and predictive analytics of crop conditions, such...

The Department of Agriculture National Institute of Food and Agriculture awarded a $650,000 Project Grant to Agrofocal Technologies, Inc. under the Small Business Innovation Research (SBIR) Program / Small Business Technology Transfer (STTR) Program (CFDA 10.212). The funding supports the development of Agrofocal's real-time crop monitoring system that can be mounted on any vehicle to provide high-resolution, under-the-canopy images of crops. This system enables farmers to monitor crop health,...

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 $591,500 federal Project Grant awarded by the USDA National Institute of Food and Agriculture (CFDA 10.310 - Agriculture and Food Research Initiative) to Colorado State University aims to produce detailed soil moisture content (SMC) maps at the root zone level for dryland farming areas across Colorado, Kansas, Nebraska, Oklahoma, and Texas. The goal is to generate SMC maps at 30-meter resolution every 2-3 days, stratified by soil depth increments of 5, 10, 20, 50, and 100 cm. These...

Agriculture Intelligence Inc., a spinoff company of the University of Florida, has received a $650,000 Small Business Innovation Research (SBIR) / Small Business Technology Transfer (STTR) Program grant from the Department of Agriculture National Institute of Food and Agriculture (CFDA 10.212) to integrate its Agroview and Agrosense technologies into a "Smart Nutrient" precision nutrient management system for tree crops. Agroview provides accurate zone-based fertility and...

This $250,000 National Science Foundation project grant supports the development of spatiotemporally transferable machine learning algorithms for enabling cross-country and cross-hemisphere in-season crop mapping. Funded under the Computer and Information Science and Engineering program, principal investigator George Mason University will design algorithms trained with U.S. agricultural data that can be applied to satellite imagery of foreign countries to generate in-season crop maps without...

This $591,500 Project Grant was awarded on August 15, 2024 by the USDA National Institute of Food and Agriculture (NIFA) under the Agriculture and Food Research Initiative (AFRI) program. The grant aims to develop the first farm-scale agriculture monitoring system using satellite data to support U.S. farmers across 17 states. The project will prototype a new web-based portal called "CropVista" that tracks crop growth and meteorological conditions to provide readily interpretable crop...

This $500,000 Project Grant award from the National Science Foundation (NSF) Office of International Science and Engineering (CFDA 47.079) supports the "LEVERAGING BIO-CHEMICAL AND GREENHOUSE GAS SENSORS FOR SUSTAINABLE AGRICULTURE INNOVATIONS (BIOSENSEINNOVATIONS)" project. The project aims to develop cutting-edge sensors that can detect nutrients, chemical compounds, soil microbiomes, and greenhouse gases in real-time to advance precision agriculture and promote sustainable farming...

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...