Rapid Soil Texture Classification Using the Soil Imaging Penetrometer

Award Information
Agency: Department of Defense
Branch: Army
Contract: W9132V-05-C-0006
Agency Tracking Number: A043-152-0432
Amount: $67,602.00
Phase: Phase I
Program: SBIR
Solicitation Topic Code: A04-152
Solicitation Number: 2004.3
Solicitation Year: 2004
Award Year: 2005
Award Start Date (Proposal Award Date): 2004-12-20
Award End Date (Contract End Date): 2005-06-19
Small Business Information
2453 Atwood Ave., Madison, WI, 53704
DUNS: 133076229
HUBZone Owned: N
Woman Owned: N
Socially and Economically Disadvantaged: N
Principal Investigator
 Daniel Rooney
 (608) 334-5460
Business Contact
 Marek Dudka
Title: Vice President
Phone: (608) 334-2862
Email: dudka@earthit.com
Research Institution
Soil texture is a critical soil information input to site suitability, mobility, counter-mine, and engineering models. Traditional methods of obtaining soil information are inefficient, inconsistent, and could require time-consuming and expensive laboratory analyses. In addition, a high level of soil expertise may be required on-site. A soil imaging system could provide a more efficient and consistent means of collecting and delivering soil texture, structure, and composition information, while avoiding expensive laboratory analysis and the need for on-site experts. Funding is requested to improve the existing EarthIT Soil Imaging Penetrometer system so that it could be rapidly deployed in diverse environmental conditions with an ATV-based delivery system, acquire in-situ soil imagery using integrated data collection software and electronics, analyze the imagery using advanced image processing techniques, automatically classify the soil to USCS texture categories based on metrics derived from image processing, and deliver texture classification and sample images to soil experts and decision makers via an encrypted network. EarthIT anticipates that the imaging system will be integrated with other environmental information gathering technologies (e.g. GPS, GIS, ground and airborne sensors, predictive models) to create a complete Soil Information System for commercialization in military, agriculture, turf, forestry, construction, and environmental science applications.

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

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