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Tree Tracker: An Intelligent Plant Production Optimization Software

Award Information
Agency: Department of Commerce
Branch: National Institute of Standards and Technology
Contract: 70NANB22H186
Agency Tracking Number: 048-FY22
Amount: $100,000.00
Phase: Phase I
Program: SBIR
Solicitation Topic Code: 2
Solicitation Number: N/A
Solicitation Year: 2022
Award Year: 2022
Award Start Date (Proposal Award Date): 2022-10-01
Award End Date (Contract End Date): 2023-03-31
Small Business Information
1615 NE Eastgate Blvd Sec D, Ste 3
Pullman, WA 99163-5302
United States
HUBZone Owned: Yes
Woman Owned: No
Socially and Economically Disadvantaged: No
Principal Investigator
 Laura  Miscoe
 Director of Lab Operations
 (512) 585-7561
Business Contact
 Seanna  Hewitt
Title: scientist, Grants Specialist
Phone: (208) 514-8705
Research Institution

Recurring environmental extremes and disease events threaten large plantings of high-value perennial crops. Due to environmental and economic drivers, the demand for highest-quality, disease-free, true-to-type planting material in large volumes for vegetatively propagated high-value perennial crops is predicted to increase substantially in the next decades. This demand can be rapidly fulfilled through risk-free propagation of the plant material in a controlled environment using a tissue culture method called micropropagation. Currently, the commercial micropropagation process is carried out using simplistic, calendar-based scheduling software that lacks predictive functionality.
NuPhY has developed a cloud-capable software platform, TreeTracker, with capacity to integrate such functionality. In order to enhance its utility, we propose to integrate a Design of Experiments module, which would depend on a Research Knowledge Base derived from published literature. In addition, NuPhY Inc. will evaluate the feasibility of using supervised machine learning in a high-throughput plant propagation process so that TreeTracker can detect key performance indicator data that can be parameterized for process improvements. The integration of supervised learning in TreeTracker is expected to provide insights regarding how best to optimize plant growth, maximize production output, and minimize costs for plant propagation.

* Information listed above is at the time of submission. *

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