Plant Leaf Image Recognition Based on Convolutional Neural Network

Authors

  • Chomtip Pornpanomchai Faculty of Information and Communication Technology, Mahidol University, Thailand
  • Varin Pornpanomchai Faculty of Science, Mahidol University 999 Phuttamonthon 4 Road, Salaya, Nakhon Pathom 73170, Thailand

Keywords:

confusion matrix, convolution neural network, leaf image, plant leaf image recognition, ResNet50

Abstract

The objective of this research is to develop a computer system which can recognize Thai leaf images by using convolutional neural network. The developed system is called “plant leaf image recognition system (PLIRS)”. The system consists of four modules, namely: 1) image acquisition, 2) training dataset, 3) image recognition and 4) result presentation module. The system dataset consists of 10,800 leaf-images of 54 Thai plant-leaf species. The average time to train the dataset is 1.4357x104 seconds. The precision rate of the system is 96.99 percent with the average access time of 1.3649 second/image.

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Author Biography

Chomtip Pornpanomchai, Faculty of Information and Communication Technology, Mahidol University, Thailand

Doctor of Technical Science (D.Tech.Sc.) - Computer Science,  Asian Institute of Technology Master of Science (M.S.) - Computer Science,  Chulalongkorn University Bachelor of Science (B.S.) - General Science,  Kasetsart University

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Published

2021-12-28

How to Cite

Pornpanomchai, C., & Pornpanomchai, V. (2021). Plant Leaf Image Recognition Based on Convolutional Neural Network. Science Essence Journal, 37(2), 78–92. Retrieved from https://ejournals.swu.ac.th/index.php/sej/article/view/13879

Issue

Vol. 37 No. 2 (2021): SWU Sci. J. Vol. 37 No. 2 (December 2021)

Section

Research Article