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...
This National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) Program (CFDA 47.070) Project Grant award totaling $300,000 will fund the development of a sustainable wearable sensor system to continuously monitor tree health. The key products and services to be delivered include: The project will create a zero-maintenance, intelligent, and robust computer system that uses biocompatible sensor arrays implanted in plant xylem to monitor water and nutrient uptake...
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...
This Project Grant award from the National Science Foundation's (NSF) Office of International Science and Engineering (CFDA 47.079) provides $500,000 in funding to Kansas State University from January 1, 2025 to December 31, 2027. The project, titled "LEVERAGING BIO-CHEMICAL AND GREENHOUSE GAS SENSORS FOR SUSTAINABLE AGRICULTURE INNOVATIONS (BIOSENSEINNOVATIONS)", focuses on developing cutting-edge sensors to detect nutrients, chemical compounds, soil microbiomes, and greenhouse gas...
This Project Grant award of $1.75 million from the National Science Foundation's Computer and Information Science and Engineering program supports the development of smart agricultural drainage systems from October 1, 2021 to September 30, 2025. Iowa State University is the primary awardee and will lead efforts to connect farming communities for sustainable crop production and environmental protection through innovative drainage monitoring technologies. As a key sub-awardee, Michigan State...
This $250,000 project grant from the National Science Foundation's Division of Information and Intelligent Systems, under the Computer and Information Science and Engineering program (CFDA 47.070), will fund the development of a multi-modal integrated sensor system and through-the-soil wireless power transmission technique for continuous, real-time monitoring of soil variables over time and space. A collaboration between Tennessee Technological University, the University of Tennessee...
The National Science Foundation Division of Computer and Network Systems awarded a $176,250 Project Grant to Carnegie Mellon University from October 1, 2021 to September 30, 2025. The grant supports the "COLLABORATIVE RESEARCH: CNS: MEDIUM: ENERGY CENTRIC WIRELESS SENSOR NODE SYSTEM FOR SMART FARMS" project under the Computer and Information Science and Engineering program (CFDA #47.070). The project aims to develop an energy-efficient wireless sensor node system to enable smart...
The National Science Foundation awarded a $282,000 Project Grant to Iowa State University under the NSF Technology, Innovation, and Partnerships federal grant program (CFDA 47.084) to develop soil nutrient and moisture monitoring probe sensors. The university will advance sensors for agricultural monitoring by designing probes integrated with sensors to continuously monitor soil nitrogen, salinity, and moisture levels throughout corn crop cycles up to four months. The probes aim to optimize...
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 $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...