Develop Computer Vision algorithms to automatically identify plant species of Costa Rica based purely on images of leaves. including leaf segmentation, shadow removal, noise removal, feature extraction and similarity search.
It is estimated that the amount of plant species in our planet is around 400,000. Costa Rica alone is expected to have about 12,000 species of plants, of which approximately 11,000 species have already been identified. Overall, plant identification is fundamental for biological richness studies of a region, plant and endangered species population monitoring, climate change impact on forests, invasive species distribution modeling, and bioliteracy activities in rural and urban areas, among others.
Costa Rica has an extraordinary biodiversity (about 4% of the world's biodiversity) and has been recognized both because of the innovative use of ICT’s to conserve biodiversity and for its protected areas system, which is a model worldwide. Nevertheless, plant species identification is a process that normally requires expert knowledge and use of dichotomous keys, interactive keys, or just the experience of an expert. This makes the process tedious, inefficient and error prone.
We aim to support the efficient, automatic identification of plant species of Costa Rica by developing Computer Vision algorithms for plant leaf images analysis.
Dr. Erick Mata-Montero, Advisor
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