A study on the machine learning techniques for automated plant species identification: current trends and challenges
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Plant identification plays a crucial role in sustaining the balance of the environment and protecting the biodiversity of a region. Recognizing different species of plants using conventional methods for conservation purposes is a tedious task. Today there is a cumulative effort made by computer scientists and botanists to automate the entire process of plant identification with leaf being a key feature for distinguishing different species of plants. With the advancement and utilization of relevant technologies like digital cameras, mobile cameras, newer techniques in image processing, pattern recognition, machine learning, automation of this system has been a reality. In this paper we have reviewed the current status of research on computer vision methodologies for taxonomical identification of plants and have also focused on the research challenges such as the diversity of the taxa to be identified, morphological variation in plants belonging to the same species, smaller interspecies variations, the challenges in acquisition of high quality images and standard datasets. The future trends in use of new technologies, creation of standard databases and interdisciplinary aspect of research is also discussed.
KeywordsAutomated plant species identification Image processing
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