Loren Data's SAM Daily™

SAMDAILY.US - ISSUE OF JUNE 10, 2023 SAM #7865
SPECIAL NOTICE

A -- SOFTWARE LICENSING OPPORTUNITY FieldSim - Maximize Agricultural Machine Efficiency with Advanced Simulation Modeling

Notice Date

6/8/2023 10:43:27 AM
 

Notice Type

Special Notice
 

NAICS

11 —
 

Contracting Office

BATTELLE ENERGY ALLIANCE�DOE CNTR Idaho Falls ID 83415 USA
 

ZIP Code

83415
 

Solicitation Number

CW-23-27
 

Response Due

6/8/2024 8:00:00 AM
 

Archive Date

06/23/2024
 

Point of Contact

Andrew Rankin
 

E-Mail Address

andrew.rankin@inl.gov
(andrew.rankin@inl.gov)
 

Description

SOFTWARE LICENSING OPPORTUNITY FieldSim - Maximize Agricultural Machine Efficiency with Advanced Simulation Modeling� Leverage FieldSim, a cutting-edge agricultural simulation model, to optimize field efficiency and machinery performance without time-consuming field experiments. � Opportunity: � Idaho National Laboratory (INL), managed and operated by Battelle Energy Alliance, LLC (BEA), offers the chance to explore a license and/or collaborative research agreement to commercialize FieldSim. This technology transfer opportunity is part of a dedicated effort to convert government-funded research into job opportunities, businesses, and an improved way of life for the American people. Overview: �� �FieldSim offers a sophisticated solution for planning field operations as operational efficiency becomes increasingly crucial in agricultural activities. Developed with a Discrete Event Simulation (DES) approach and object-oriented programming, FieldSim provides a rigorous and flexible model for handling various field shapes and equipment characteristics. Description: � �The FieldSim is a state-of-the-art simulation model that estimates field efficiency for agricultural machine movement. The model: ��� �Utilizes a Discrete Event Specification System (DEVS) formalism for equipment movement tracking. ��� �It is data-driven, spatially, and temporally detailed for accurate field efficiency estimation. ��� �Offers flexibility and adaptability for various shapes and physical characteristics of fields and equipment. ��� �Has been tested and validated with an error margin of 15% against empirical data. Benefits: � � � � � ��� �Estimate machinery performance without time-consuming field experiments. ��� �Make better managerial and technical decisions based on accurate field efficiency data. ��� �Field shape agnostic modeling approach with superior spatiotemporal resolution. ��� �More rigorous component behavior definition compared to traditional statistical methods. Applications: �� ��� �Improve the energy efficiency of agriculture equipment. ��� �Extend the range of autonomous systems (drones, robots, etc.) ��� �Optimizing field operations planning for agricultural professionals.� ��� �Enhancing machinery performance in various farming scenarios.� ��� �Informing agribusiness consulting and advisory services ��� �Supporting agricultural research and development projects.� Development Status: �Alpha stage: Expert level user required, limited interface.� IP Status: �� �Copyright in software entitled �FieldSim - Simulation model to estimate field efficiency for agriculture machine movement,� BEA Docket No. CW-23-27. Additional Information:� Ange-Lionel Toba, L. Michael Griffel, Damon S. Hartley, Devs based modeling and simulation of agricultural machinery movement, Computers and Electronics in Agriculture, Volume 177, 2020, 105669, ISSN 0168-1699, https://doi.org/10.1016/j.compag.2020.105669. (https://www.sciencedirect.com/science/article/pii/S0168169920306463) INL seeks to license the above intellectual property to a company with a demonstrated ability to bring such inventions to the market. Exclusive rights in defined fields of use may be available. Added value is placed on relationships with small businesses, start-up companies, and general entrepreneurship opportunities. Please visit Technology Deployment�s website at https://inl.gov/inl-initiatives/technology-deployment for more information on working with INL and the industrial partnering and technology transfer process.� Companies interested in learning more about this licensing opportunity should contact Andrew Rankin at td@inl.gov.
 

Web Link

SAM.gov Permalink
(https://sam.gov/opp/18b5b0a61e69438497ddde812a11992f/view)
 

Place of Performance

Address: Idaho Falls, ID 83415, USA

Zip Code: 83415

Country: USA
 

Record

SN06708574-F 20230610/230608230108 (samdaily.us)
 

Source

SAM.gov Link to This Notice
(may not be valid after Archive Date)

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