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Publication
A mobile application for detecting and monitoring the development stages of wild flowers and plants
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Advisor(s)
Abstract(s)
Wild flowers and plants appear spontaneously. They form the ecological basis on which life depends. They
play a fundamental role in the regeneration of natural life and the balance of ecological systems. However,
this irreplaceable natural heritage is at risk of being lost due to human activity and climate change. The
work presented in this paper contributes to the conservation effort. It is based on a previous study by the
same authors, which identified computer vision as a suitable technological platform for detecting and
monitoring the development stages of wild flowers and plants. It describes the process of developing a
mobile application that uses YOLOv4 and YOLOv4-tiny convolutional neural networks to detect the stages
of development of wild flowers and plants. This application could be used by visitors in a nature park to
provide information and raise awareness about the wild flowers and plants they find along the roads and
trails.
Description
Keywords
Wild flowers and plants Development stages Computer vision Convolutional neural networks YOLOv4 YOLOv4-tiny Mobile app
Citation
VIDEIRA, João [et al.] (2024) - A mobile application for detecting and monitoring the development stages of wild flowers and plants. Informatica. 48:6, p. 43-58. DOI: https://doi.org/10.31449/inf.v48i6.5645