Title :
Bee Trees´ density estimation based on satellite image analysis: A case study at Al-Baha Region in Saudi Arabia
Author :
Alghamdi, Abdullah ; Adgaba, N. ; Sammouda, Rachid
Author_Institution :
Dept. of Plant Protection, King Saud Univ., Riyadh, Saudi Arabia
Abstract :
The increasing demand for Agricultural statistics for the provision of better plantation chances leads to the use of advanced Information technology intelligent techniques. Such techniques would be utilized in order to extract, segment and analyze vegetal areas land cover using multispectral satellite images. In this paper, we present digital image processing-based method to process 0.5 m2 satellite images of Al-Baha region in Saudi Arabia. Deployment of such an application would lead to extraction of vegetal information that is needed by beekeepers in search of better forage to maintain their colonies; and to produce honey in the region. The segmentation results may be used as key indicator for vegetation density.
Keywords :
agriculture; geophysical image processing; image segmentation; AI-Baha region; Saudi Arabia; advanced Information technology intelligent techniques; agricultural statistics; bee trees density estimation; beekeepers; digital image processing-based method; forage; multispectral satellite images; plantation chances; satellite image analysis; segmentation results; vegetal areas land cover; vegetation density; Artificial intelligence; Gold; Image resolution; Nickel; Vegetation mapping; Satellite image; segmentation and Vegetation Density;
Conference_Titel :
Computer Applications & Research (WSCAR), 2014 World Symposium on
Conference_Location :
Sousse
Print_ISBN :
978-1-4799-2805-7
DOI :
10.1109/WSCAR.2014.6916833