Project Grant 20253941044922
- 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...
- 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...
- The U.S. Department of Agriculture (USDA) National Institute of Food and Agriculture (NIFA) awarded a $174,534 SBIR Phase I project grant to Padma Agrobotics LLC, a minority-owned small business in Chandler, Arizona. The grant aims to develop an AI-based, autonomous lettuce harvester that uses computer vision and artificial intelligence to automate the lettuce harvesting process. The proposed system would reduce manual labor to two operators per acre, cutting harvesting costs to $4,500/acre -...
- The University of Florida was awarded a $617,420 Project Grant from the U.S. Department of Agriculture's National Institute of Food and Agriculture under the Agriculture and Food Research Initiative (CFDA 10.310) program. The goal of this 4-year project is to develop a real-time yield prediction system for strawberry production using machine vision and artificial intelligence (AI) technology. The system will enable automated flower and fruit counting, as well as canopy volume measurement, to...
- This Project Grant award for $300,000 from the USDA National Institute of Food and Agriculture (NIFA) under the Agriculture and Food Research Initiative (CFDA 10.310) aims to develop a robotic precision spraying system to improve the sustainability of small fruit crop production in the United States. The key deliverables include designing and evaluating an unmanned ground robot-based sprayer that can autonomously apply pesticides based on canopy density, with the goal of significantly reducing...
- 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 federal Project Grant award from the USDA National Institute of Food and Agriculture under the Agriculture and Food Research Initiative (CFDA 10.310) is providing $604,500 to Purdue University to develop an intelligent legged robotic system for autonomous harvesting of delicate fruits like strawberries. The key objectives are to: (i) design an adaptive robotic gripper with embedded multi-modal sensors for touch, vision, shape, and proximity sensing; (ii) develop perception algorithms for...
- The U.S. Department of Agriculture's (USDA) Agriculture and Food Research Initiative (AFRI) awarded a $727,981 project grant to New Mexico State University (NMSU) to develop advanced technologies for robot-enabled smart, sustainable, and eco-friendly farming. The key objectives are to establish a team of cooperative robots with high autonomy to perform various agricultural tasks during planting, cultivation, and harvesting to enhance productivity and address challenges like water scarcity and...
- This $174,922 Project Grant award from the U.S. Department of Agriculture's (USDA) National Institute of Food and Agriculture (NIFA) Small Business Innovation Research (SBIR) / Small Business Technology Transfer (STTR) program supports the development and testing of a low-cost autonomous robotic weeding system for small and mid-sized farms. The key objectives are to create an affordable solution that can reliably distinguish between crops and weeds, then remove weeds using simple mechanical...
- This $763,948 federal Project Grant award from the U.S. Department of Agriculture's (USDA) National Institute of Food and Agriculture will support a research project by Georgia Tech Research Corporation to develop an innovative robotic harvesting system for fresh-market caneberries, such as blackberries and raspberries. The project aims to integrate soft robotics, bipedal mobility, and advanced computer vision to create a novel "ostrich-like" robotic platform capable of selectively...
The U.S. Department of Agriculture's (USDA) National Institute of Food and Agriculture (NIFA) awarded a $175,000 Small Business Innovation Research (SBIR) Program grant to L5 Automation Inc., a minority-owned small business located in La Cañada Flintridge, California. This 8-month Project Grant, awarded on August 15, 2025, aims to research and develop key components of a future autonomous robotic system that will provide significantly more accurate yield forecasting capabilities for U.S. strawberry growers. The project objectives include creating advanced cyber-physical systems that can regularly survey strawberry fields, track plant growth over time, and precisely count flowers and strawberries - critical metrics needed for accurate yield forecasting. L5 Automation's robotic systems have the unique ability to gently manipulate strawberry plants, moving leaves to fully expose the entire plant for accurate data collection. This capability is expected to enable much more precise yield forecasts compared to existing approaches using drones or rovers, which cannot access data hidden under the plant foliage. Ultimately, the project seeks to help U.S. strawberry growers better anticipate their labor needs and sell a higher percentage of their crop at better prices, protecting their margins in the face of increasing operating expenses and labor shortages.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $175.0k | 7/28/25 |