This $3,531,686 Project Grant, awarded by the U.S. Department of Agriculture's National Institute of Food and Agriculture under the Specialty Crop Research Initiative (CFDA 10.309) program, is intended to develop and transfer an automated and integrated mobile system (AIMS) for commercial harvest, in-field pre-sorting, and quality recording of harvested apples. The project aims to leverage recent progress in robotic harvesting and pre-sorting technologies to alleviate labor shortages and...
The U.S. Department of Agriculture (USDA) awarded a $320,585 Cooperative Agreement to Washington State University (WSU) on September 15, 2023 under the Agricultural Research Basic and Applied Research program (CFDA 10.001). The funding supports the "Development of an Automated and Integrated Mobile System (AIMS) for Apple Harvest and In-Field Sorting" project. The project aims to develop innovative agricultural technology solutions to improve apple harvest and in-field sorting...
This federal Project Grant award, provided by the USDA National Institute of Food and Agriculture (NIFA) under the Agriculture and Food Research Initiative (AFRI) program (CFDA 10.310), aims to develop methods to improve the accuracy of yield monitor data and evaluate their effectiveness. The $591,250 grant, awarded to Mississippi State University on September 15, 2024, supports a 3-year project to create an open-source AI tool to detect and correct errors in raw yield data from precision...
The U.S. Department of Agriculture's (USDA) National Institute of Food and Agriculture (NIFA) awarded a $262,737.48 project grant to Colorado State University under the Agriculture and Food Research Initiative (AFRI) program. The goal of this 2-year project is to develop an AI-based decision support system that will allow farmers and other stakeholders to identify agricultural pests by uploading cellphone photos to a mobile application. This system will target pests of small grains in the Inland...
This federal Project Grant award, funded by the United States Department of Agriculture's (USDA) Agriculture and Food Research Initiative (CFDA 10.310), proposes a modular experiential learning program to expose 200 Michigan middle and high school students to data science and artificial intelligence applications in smart agriculture. The $749,991 award, which runs from August 2024 to August 2028, aims to I) attract youth to smart agriculture, II) provide hands-on experiential learning on smart...
This $175,000 SBIR Program Project Grant awarded by the U.S. Department of Agriculture's National Institute of Food and Agriculture (CFDA 10.212) to L5 Automation Inc. aims to develop an automated strawberry characteristics assessor. The system will use a mix of classical, deep learning, and geometric vision techniques to rapidly and accurately assess key attributes of strawberries, including ripeness, damage, shape, and size. This research lays the foundation for a robotic strawberry harvesting...
Mississippi State University (MSU) has been awarded a $238,370 Project Grant under the USDA's Agriculture and Food Research Initiative (AFRI) program (CFDA 10.310). The grant aims to integrate soft robotics, bipedal locomotion, and advanced perception capabilities to create an innovative robotic platform for harvesting fresh-market caneberries (blackberries and raspberries). The proposed work consists of four key research tasks: (1) developing a multi-objective, data-driven design strategy for...
This $1,000,000 Project Grant from the United States Department of Agriculture National Institute of Food and Agriculture (USDA NIFA) under the Agriculture and Food Research Initiative (AFRI) federal grant program will fund the creation and release of reference datasets and benchmarking data to advance the development of computer vision applications in precision livestock farming. Michigan State University is the primary awardee and will work with sub-awardees Katholieke Universiteit Leuven, the...
The U.S. Department of Agriculture's National Institute of Food and Agriculture (USDA-NIFA) awarded a $3,302,474 Project Grant under the Specialty Crop Research Initiative (CFDA 10.309) to Cornell University. The goal of this 4-year project is to advance the safe adoption of dynamic controlled atmosphere (DCA) storage technology for the U.S. apple industry. The research team will: 1) develop best management practices for DCA storage of premium and emerging apple cultivars; 2) understand how...
This $695,652 project grant awarded by the USDA's National Institute of Food and Agriculture under the Agriculture and Food Research Initiative (AFRI) program aims to develop and evaluate a novel cyber-physical system for real-time optimization of thermal food processing operations. The project will create first-principle models and reduced-order computational techniques to accurately estimate unmeasurable process variables and enable optimal control of food drying, cooking, and...