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Semi-automated Analysis Of Aerial Citrus

Award Information
Agency: Department of Agriculture
Branch: N/A
Contract: N/A
Agency Tracking Number: 37700
Amount: $54,748.00
Phase: Phase I
Program: SBIR
Solicitation Topic Code: N/A
Solicitation Number: N/A
Solicitation Year: N/A
Award Year: 1997
Award Start Date (Proposal Award Date): N/A
Award End Date (Contract End Date): N/A
Small Business Information
409 Main Street
Amherst, MA 01002
United States
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: No
Principal Investigator
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Business Contact
Phone: () -
Research Institution

Semi-automated analysis of citrus grove data from remotely-sensed devices can reduce groundsurveying for appraisal, crop recording, yield analysis, and grove management. Although theygenerally start with the same aerial infrared imagery for their data collection, grove managers andindependent appraisers each have their own independent requirements for data analysis. By making theanalysis of this imagery more efficient and robust, image understanding technology can providesignificant benefit to the entire citrus industry.The Phase I research effort submitted in this proposal will focus on the potential agricultural uses ofknowledge-based computer image understanding technologies that were originally developed formilitary, manufacturing, and medical domains. These techniques will extend the standard suite ofremote sensing tools to provide robust mechanisms for automatic identification and measurement ofindividual and/or hedge-row citrus trees from aerial color infrared image data. These new techniqueswill address difficult problems such as the isolation of individual tree crowns, automatic spatialregistration and normalization, delineation of groves, tree counting and classification. A follow-onPhase II program will expand the recognition criteria, analysis goals, tree species and remote sensingmedia in an integrated prototype system.

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

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