Weeds detection by ground-level hyperspectral data Academic Article uri icon

abstract

  • Weeds are a severe pest in agriculture, causing extensive yield loss. Weed control of grass and broadleaf weeds is commonly performed by applying selective herbicides homogeneously all over the field. As presented in several studies, applying the herbicide only where needed has economical as well as environmental benefits. Combining remote sensing tools and techniques with the concept of precision agriculture has the potential to automatically locate and identify weeds in order to allow precise control. The objective of this work is to detect annual grasses and broadleaf weeds among cereal as well as broadleaf crops, with the aid of field spectroscopy tools. Leaf and canopy spectral relative reflectance values of three targets: crop (wheat and chickpea), grass as well as broadleaf weeds, with soil background, were obtained by Analytical Spectral Devices (ASD) FieldSpec Pro FR …

publication date

  • January 1, 2010