Visual observations and ground measurements are commonly used to evaluate cotton (Gossypium hirsutum L.)harvest aids for defoliation, boll opening, and regrowth control. This article presents a remote sensingbased method forevaluating the effectiveness of different defoliation treatments. Field experiments were conducted on two cotton fields in southTexas in 2001, in conjunction with a study on the effects of defoliants alone and defoliants combined with insecticides on bollweevil mortality. Eight treatments (one control and seven combinations of defoliants and insecticides) with three replicationswere assigned across 24 experimental plots in a randomized complete block design in each of the two fields. Airbornecolorinfrared (CIR) digital images were obtained from the first field six days after chemical application and from the secondfield on four equally spaced dates beginning the day of application. Ground plant reflectance spectra and plant physical datasuch as number of leaves were collected on selected sites within each plot. The reflectance spectra effectively separateddifferent levels of defoliation, but a large number of spectra were required to obtain reliable results. The airbornemultispectral images permitted visual differentiation among the treatments as early as three days after chemical application,although the images collected six days after application revealed most significant differences among the treatments. Forquantitative analysis, the green, red, and nearinfrared (NIR) bands of the CIR images and the normalized differencevegetation index (NDVI) were used as spectral variables to compare the differences among the treatments. Multiplecomparisons showed that the four spectral variables detected significant differences among some of the defoliationtreatments. These results indicate that remote sensing can be a useful tool for evaluating the effectiveness of cotton defoliationstrategies.
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