2207897
Project Grant
Overview
Grant Description
SBIR PHASE I: Harvesting Strawberry Using Delta Robots - The broader impact/commercial potential of this Phase I project is to enhance scientific and technological understanding in selective harvesting of high-value crops such as strawberry. The innovation proposed here will be a key component in creating a compact economically viable autonomous strawberry harvesting robot.
The technology developed in this project will help address the farming labor shortage which is experienced by farmers more and more each year. Agricultural robotics market is estimated to be $11.9 billion by 2026. Providing autonomous harvesting robots will enable farmers to grow more crops with less business risks related to manual labor shortages and will ensure that US farmers remain competitive, while creating more skilled, highly paid jobs.
This Small Business Innovation Research (SBIR) Phase I project will develop critical technologies for delicate selective harvesting of fragile crops such as strawberries at a competitive pace. Recent advancements in computer vision object detection and three-dimensional scene reconstruction will be used to create near real-time operational scenes. Those scenes will be used to detect ripe berries, create a movement path, and navigate the fast and precise robot arm for harvesting the berries without damaging fruits while avoiding obstacles.
This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
The technology developed in this project will help address the farming labor shortage which is experienced by farmers more and more each year. Agricultural robotics market is estimated to be $11.9 billion by 2026. Providing autonomous harvesting robots will enable farmers to grow more crops with less business risks related to manual labor shortages and will ensure that US farmers remain competitive, while creating more skilled, highly paid jobs.
This Small Business Innovation Research (SBIR) Phase I project will develop critical technologies for delicate selective harvesting of fragile crops such as strawberries at a competitive pace. Recent advancements in computer vision object detection and three-dimensional scene reconstruction will be used to create near real-time operational scenes. Those scenes will be used to detect ripe berries, create a movement path, and navigate the fast and precise robot arm for harvesting the berries without damaging fruits while avoiding obstacles.
This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
Awardee
Grant Program (CFDA)
Awarding / Funding Agency
Place of Performance
Seattle,
Washington
98145-0001
United States
Geographic Scope
Single Zip Code
Related Opportunity
None
Analysis Notes
Amendment Since initial award the total obligations have increased 8% from $256,000 to $276,000.
Abberit was awarded
Project Grant 2207897
worth $276,000
from National Science Foundation in October 2022 with work to be completed primarily in Seattle Washington United States.
The grant
has a duration of 1 year and
was awarded through assistance program 47.084 NSF Technology, Innovation, and Partnerships.
SBIR Details
Research Type
SBIR Phase I
Title
SBIR Phase I:Harvesting strawberry using delta robots
Abstract
The broader impact/commercial potential of this Phase I project is to enhance scientific and technological understanding in selective harvesting of high-value crops such as strawberry. The innovation proposed here will be a key component in creating a compact economically viable autonomous strawberry harvesting robot. The technology developed in this project will help address the farming labor shortage which is experienced by farmers more and more each year. Agricultural robotics market is estimated to be $11.9 billion by 2026. Providing autonomous harvesting robots will enable farmers to grow more crops with less business risks related to manual labor shortages and will ensure that US farmers remain competitive, while creating more skilled, highly paid jobs.This Small Business Innovation Research (SBIR) Phase I project will develop critical technologies for delicate selective harvesting of fragile crops such as strawberries at a competitive pace. Recent advancements in computer vision object detection and three-dimensional scene reconstruction will be used to create near real-time operational scenes. Those scenes will be used to detect ripe berries, create a movement path and navigate the fast and precise robot arm for harvesting the berries without damaging fruits while avoiding obstacles.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
Topic Code
R
Solicitation Number
NSF 21-562
Status
(Complete)
Last Modified 8/3/23
Period of Performance
10/1/22
Start Date
9/30/23
End Date
Funding Split
$276.0K
Federal Obligation
$0.0
Non-Federal Obligation
$276.0K
Total Obligated
Activity Timeline
Transaction History
Modifications to 2207897
Additional Detail
Award ID FAIN
2207897
SAI Number
None
Award ID URI
SAI EXEMPT
Awardee Classifications
Small Business
Awarding Office
491503 TRANSLATIONAL IMPACTS
Funding Office
491503 TRANSLATIONAL IMPACTS
Awardee UEI
NUWGBERUMLF1
Awardee CAGE
94EM0
Performance District
WA-07
Senators
Maria Cantwell
Patty Murray
Patty Murray
Budget Funding
| Federal Account | Budget Subfunction | Object Class | Total | Percentage |
|---|---|---|---|---|
| Research and Related Activities, National Science Foundation (049-0100) | General science and basic research | Grants, subsidies, and contributions (41.0) | $276,000 | 100% |
Modified: 8/3/23