This National Science Foundation Division of Industrial Innovation Project Grant awarded $256,000 to Grain Weevil Corporation of Aurora, Nebraska to develop a remote-controlled grain management and extraction robot. The 11-month project, which runs from March 2022 through December 2022, seeks to demonstrate the technical feasibility of a mobile robot for improving farmer safety and grain storage efficiencies. Key deliverables include classifying grain surface variables that impact robotic...
The National Science Foundation (NSF) Directorate for Engineering awarded a $610,609 Project Grant under the Engineering program (CFDA 47.041) to the University of California, Merced, a minority-serving and Hispanic-serving educational institution. The grant, titled "Collaborative Research: Elevating Farm Worker-Robot Collaborations in Agri-Food Ecosystems", aims to shape the future farm workplace by developing intelligent agricultural robots that can operate in seamless partnership...
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...
The National Science Foundation Division of Industrial Innovation awarded a $255,147 Project Grant to Canopii of Portland, Oregon under the Engineering (47.041) federal grant program. The grant funds the development of a multi-robot system to reduce labor costs in local food production automation from May 2021 through December 2021. Specifically, Canopii will develop an end-to-end automated solution utilizing multiple robots to streamline food production processes and lower the overall costs...
The National Science Foundation (NSF) awarded a $1,007,682 Federal Grant under the Engineering program (CFDA 47.041) to the Regents of the University of California at Riverside (UC Riverside). The project, titled "Collaborative Research: Elevating Farm Worker-Robot Collaborations in Agri-Food Ecosystems", aims to shape the future of farm work by developing human-aware agricultural robots that can seamlessly partner with farmworkers to improve tree-crop harvesting outcomes and...
The National Science Foundation awarded Harvest Moon Automation Inc. a $250,665 Project Grant under the NSF Technology, Innovation, and Partnerships program (CFDA 47.084). The grant funds the development of a precision weeder extraction tool that will remove weeds from agricultural fields without using herbicides or soil tillage. Advances in machine vision have enabled identification of individual crop and weed plants in a field. However, existing automated weeders still rely on herbicides or...
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 $275,000 SBIR Phase I project grant awarded by the National Science Foundation (NSF) under the NSF Technology, Innovation, and Partnerships program (CFDA 47.084) aims to develop software capabilities to improve automated harvesting of strawberries. The project will implement two key components: A trajectory optimization module for a robot manipulator's camera to maximize information gain and reduce localization uncertainty for strawberries while respecting kinematic and collision...
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 $250,037 Project Grant awarded by the National Science Foundation's Computer and Information Science and Engineering (CFDA 47.070) program supports a collaborative research initiative led by the University of Memphis. The project aims to develop a networked cyber-physical system with advanced data analytics and integrated renewable energy storage to optimize crop production and energy efficiency in controlled-environment agriculture (CEA) facilities. Key objectives include: 1) integrating...