Lantana for Classification

Citation Author(s):
Adri Gabriel
Sooai
Universitas Katolik Widya Mand
Submitted by:
adri gabriel sooai
Last updated:
Tue, 07/18/2023 - 01:23
DOI:
10.21227/mazz-0h34
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Abstract 

Lantana flower, originally known as a parasitic and poisonous plant, is expansive to fill many livestock fields. Lantana data sets are open source and can be used by many researchers to create models with higher accuracy. currently the accuracy using this dataset has reached 99.8% using k-NN and preceded by feature extraction using VGG-16 Lantana flower, originally known as a parasitic and poisonous plant, is expansive to fill many livestock fields. Lantana data sets are open source and can be used by many researchers to create models with higher accuracy. currently the accuracy using this dataset has reached 99.8% using k-NN and preceded by feature extraction using VGG-16 Lantana flower, originally known as a parasitic and poisonous plant, is expansive to fill many livestock fields. Lantana data sets are open source and can be used by many researchers to create models with higher accuracy. currently the accuracy using this dataset has reached 99.8% using k-NN and preceded by feature extraction using VGG-16

Instructions: 

Dataset consist of 411 rows and 4096 coloumns, it divided in 5 classes of Lantana colours, its already made a model with accuracy 99.8% using k-NN proceeded by feature extraction using VGG-16, please feel free to create a new model with higher accuracy