Artificial intelligence analysis of hyperspectral remote sensing data for management of water, weed, and nitrogen stresses in corn fields

Artificial intelligence analysis of hyperspectral remote sensing data for management of water, weed, and nitrogen stresses in corn fields

This study investigated the possibility of using ground-based remotely sensed hyperspectral observations with a special emphasis on detection of water, weed and nitrogen stresses contributing towards in-season decision support for precision crop management (PCM). === A three factor split-split-pl...

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Bibliographic Details
Main Author: Waheed, Tahir
Format: Others
Language:en
Published: McGill University 2005
Subjects:
Artificial intelligence > Agricultural applications > Québec (Province)
Multispectral photography.
Precision farming > Québec (Province).
Corn > Effect of stress on > Québec (Province) > Remote sensing.
Online Access:http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=86060

Internet

http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=86060

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