Autonomous localization of the best depth blob using TOPSIS: application on forage plants for the Sharjah pastures project

This research constitutes a building block in a larger decision support system, which combines computer vision and multi-criteria decision making, to identify indigenous forage plants in close-range aerial images. Such a system enables managing the open pastures project of the Emirate of Sharjah, United Arab Emirates (UAE). The system aims at the identification of forage plants through the detection of plant inflorescences in depth images, and applying TOPSIS, to select and localize the best plant inflorescence.