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All Journal International Journal of Advances in Intelligent Informatics
João Videira
Polytechnic Institute of Castelo Branco
Computer Science & IT

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Detecting and monitoring the development stages of wild flowers and plants using computer vision: approaches, challenges and opportunities João Videira; Pedro Dinis Gaspar; Vasco Nuno da Gama de Jesus Soares; João Manuel Leitão Pires Caldeira
International Journal of Advances in Intelligent Informatics Vol 9, No 3 (2023): November 2023
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26555/ijain.v9i3.1012

Abstract

Wild flowers and plants play an important role in protecting biodiversity and providing various ecosystem services. However, some of them are endangered or threatened and are entitled to preservation and protection. This study represents a first step to develop a computer vision system and a supporting mobile app for detecting and monitoring the development stages of wild flowers and plants, aiming to contribute to their preservation. It first introduces the related concepts. Then, surveys related work and categorizes existing solutions presenting their key features, strengths, and limitations. The most promising solutions and techniques are identified. Insights on open issues and research directions in the topic are also provided. This paper paves the way to a wider adoption of recent results in computer vision techniques in this field and for the proposal of a mobile application that uses YOLO convolutional neural networks to detect the stages of development of wild flowers and plants.
Co-Authors João Manuel Leitão Pires Caldeira Pedro Dinis Gaspar Vasco Nuno da Gama de Jesus Soares