Intime, Inc.

United States of America as Represented by the Administrator of Nasa

Institute of Technology Development

Mark David Lewis

Kenneth Brown Hood

Michael R Seal

James William Johnson

Daniel J Anderson

Lee Newman

Amy G Keith

Kelly Dupont

Hendrick Van Riessen

Patrick Jackson

Matthew Peterson

A system detects a plant's exposure to trichloroethylene (TCE) through plant leaf imaging. White light impinging upon a plant's leaf interacts therewith to produce interacted light. A detector is positioned to detect at least one spectral band of the interacted light. A processor coupled to the detector performs comparisons between photonic energy of the interacted light at the one or more spectral bands thereof and reference data defining spectral responses indicative of leaf exposure to TCE. An output device coupled to the processor provides indications of the comparisons.

System for in-situ detection of plant exposure to trichloroethylene (TCE)

Remotely sensed spectral image data are used to develop a Vegetation Index file which represents spatial variations of actual crop vigor throughout a field that is under cultivation. The latter information is processed to place it in a format that can be used by farm personnel to correlate and calibrate it with actually observed crop conditions existing at control points within the field. Based on the results, farm personnel formulate a prescription request, which is forwarded via email or FTP to a central processing site, where the prescription is prepared. The latter is returned via email or FTP to on-side farm personnel, who can load it into a controller on a spray rig that directly applies inputs to the field at a spatially variable rate.

Method and system for spatially variable rate application of agricultural chemicals based on remotely sensed vegetation data

Remotely sensed spectral image data are used to develop a Vegetation Index file which represents spatial variations of actual crop vigor throughout an area that is under cultivation. The latter information is processed to place it in a format that can be used by personnel to correlate and calibrate it with actually observed crop conditions existing at control points within the area. Based on the results, personnel formulate a prescription request, which is forwarded to a central processing site, where the prescription is prepared. The latter is returned to a mobile application means that directly applies inputs to the field at a spatially variable rate.

Method and apparatus for spatially variable rate application of agricultural chemicals based on remotely sensed vegetation data

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Long Beach, MS, United States of America

Mark David Lewis