Many studies of ornithologists are based on tracking the nutrition of their explored species of birds. This project assists the studying of nutrition patterns of raptors. Raptors are fed from various rodents. The bones of the rodents are indigestible and emitted out. By identifying the rodent species from its bone, one can learn about the nutrition pattern of the raptor. Classifying the rodent species requires high proficiency, and is a time consuming process.
In this project we introduce a technique to determine the rodent species and the bone type, from a bone picture. This technique will assist researchers as well as amateur birdwatchers (and many students required to do the classification process). The process will be held in two steps. First, a classification of the rodent type will be done through its jaw picture. Second, the rest of the bones in the pellet will be classified. The classification will be achieved using machine learning methods. Taking into account the dataset of images used for training, the proposed technique achieves good results and high accuracy.
Dr. Motti Charter,
The Movement Ecology lab