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Agricultural Journal
Year: 2006 | Volume: 1 | Issue: 4 | Page No.: 186-191
Application of Remote Sensing Data to Assess Weed Infestation in Cotton
Javed Iqbal , Phillip R. Owens and Ishtiaq Ali
 
Abstract: Field studies were conducted in 2002 at Long View Farm located in east-central Mississippi. Two cotton fields, Field-104 (area 42 ha) and Shop Field (area 65 ha), were selected for the remote sensing of the biophysical properties of the cotton crop. At each field, plots were laid out using previous crop Normalized Difference Vegetation Index (NDVI) into low, medium and high categories. The objective of the study was to determine the potential of spectral analysis of multispectral images and field spectroradiometer data for discriminating morningglory and grasses from cotton canopy. Multispectral images were used to derive NDVI temporal pattern analysis to discriminate weeds from cotton canopy and feature extraction techniques were used to identify and map morningglory on field basis. Images acquired on July 18 and August 28 showed lower NDVI values in the field where weeds were intermixed with cotton plants compared to weed-free cotton canopy. Near infrared band (850 nm) of the multispectral imagery and spectroradiometer ~ 750-1000 nm wavelength region showed promising results for discriminating between weed-free cotton canopy and cotton canopy with morningglory. A spectral extraction process identified and mapped approximately < 50 % of the weeds present in the study area.
 
How to cite this article:
Javed Iqbal, , Phillip R. Owens and Ishtiaq Ali , 2006. Application of Remote Sensing Data to Assess Weed Infestation in Cotton. Agricultural Journal, 1: 186-191.
URL: http://medwelljournals.com/abstract/?doi=aj.2006.186.191