This $1,200,000 Project Grant award from the National Science Foundation's (NSF) Biological Sciences program (CFDA 47.074) will fund the development of a voice-controlled virtual reality (VR) visual analytics platform for plant digital twins. The project, titled "VR-BIO-TALK: VR Voice-Controlled Visual Analytics Platform for Plant Digital Twins," aims to bridge the gap between large, complex plant datasets and the ability to extract meaningful insights through intuitive, natural...
This National Science Foundation (NSF) Biological Sciences (CFDA 47.074) program grant, awarded to Purdue University, aims to develop innovative data processing and visualization tools to reconstruct 3D models of maize plants, known as "digital twins." The $533,393 project, running from September 1, 2024 to August 31, 2027, will leverage advanced AI and optimization techniques to simulate how changes in maize plant architecture and environmental conditions impact crop productivity. The...
This Project Grant awarded by the National Science Foundation (NSF) under the Biological Sciences (CFDA 47.074) program provides $533,000 in funding to Iowa State University of Science and Technology for a 3-year research project from September 1, 2024 to August 31, 2027. The project aims to develop innovative data processing and visualization tools to generate fundamental knowledge applicable to agriculture and advancing food production needs. The key products include: Reconstructing 3D digital...
The National Science Foundation (NSF) awarded a $953,779 Project Grant under the Biological Sciences (CFDA 47.074) program to the Board of Regents of the University of Nebraska to develop innovative data processing and advanced visualization tools for optimizing maize canopy architecture. The goal is to create a "digital twin" of maize plants that can simulate real plant growth and response to the environment. This will allow researchers to experiment with different plant traits and...
This $300,000 federal Project Grant awarded by the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) supports the development of a sustainable, intelligent wearable sensor system for continuous tree health monitoring. The primary goals are to: Create a biocompatible, ion-sensitive sensor array that can be implanted in a plant's xylem to continuously monitor water and nutrient uptake in real-time. Develop energy-harvesting techniques...
The National Science Foundation (NSF) awarded a $1,199,053 Project Grant under the Computer and Information Science and Engineering (CISE) program to the University of Florida to develop interactive machine learning tools to support plant scientists in analyzing data from minirhizotron imaging systems. The project aims to optimize the human-machine interaction for labeling and interpreting plant root imagery, enabling more efficient utilization of sensor data for research on plant adaptation and...
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 from the National Science Foundation (NSF) under the STEM Education (CFDA 47.076) program provides $2,999,566 to North Carolina State University (NC State) to train 21 doctoral students, including 10 NSF-funded trainees, at the convergence of plant science and artificial intelligence (AI). The key products and services delivered through this 5-year award include: Developing a transdisciplinary graduate training program that integrates plant science, data/computer...
The National Science Foundation awarded a $304,786 project grant to the Donald Danforth Plant Science Center under the Computer and Information Science and Engineering program (CFDA 47.070) to develop a cyber-physical system for securely sharing agricultural data and lessons learned via edge computing. The three-year award beginning October 1, 2022 will support intersecting expertise in plant science, secure networked systems, software engineering, and geospatial science to mitigate challenges...
The federal Project Grant award of $500,000.00 from the U.S. Department of Agriculture's National Institute of Food and Agriculture (USDA-NIFA) Equipment Grants Program (CFDA 10.519) will be used by Colorado State University to purchase a HyperAIxpert plant phenotyping system. This specialized equipment, comprising RGB, PAM fluorescence, 3D laser scanning, and hyperspectral sensors, will allow researchers to simultaneously measure a range of plant responses indicative of plant health. The system...