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Plant Classification based on Leaf Feature Mining: State of the Art
Hoshang Kolivand, Bong Mei Fern, Amjad Rehman, Mohd Shafry Mohd Rahim, Tanzila Saba
Liverpool John Moores University, Liverpool, L3 3AF, UK. , Universiti Tunku Abdul Rahman, Jalan Universiti Bandar Barat, 31900, Kampar, Perak, 31900, Malaysia., Al Yamamah University, Riyadh, Saudi Arabia., UTM Malaysia., Prince Sultan University, Riyadh,
Abstract: Based on the plant taxonomy theory, the plants could be identified based on their external structure such as leaf, seed, flower and fruit. Leaves can be collected throughout the year and it carries several discriminant morphological features for plant classification. Advanced plant classification is one of the highest priorities to solve climate change that affects the world in the 21st century. Due to a large number of plant species (300,000 species of green plant), there is a need to classify them at the beginning before being able to recognize or identified them correctly. Plant classification is a process to organize the plant species based on their phonetic similarity or phylogenetic relationships, whereas plant identification is to determine the similarities or dissimilarities between plant species. In this research, we attempt to summarise, analyse and systemise most highlighted research in leaf detection. It is also hoped that the analysis could help researchers to identify a background to the strength of each technique.
Keywords: Feature Extraction, Leaf Detection, Features Mining, Leaf and Plant Classification Plant Classification based on Leaf Feature Mining: State of the Art
DOI:https://doi.org/10.6025/jcl/2020/11/1/12-35
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