1. CNN for medicinal plant identification: A comprehensive review.
- Author
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Inamdar, Shrinika and Talekar, Apurva
- Subjects
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CONVOLUTIONAL neural networks , *MACHINE learning , *PLANT identification , *COMPUTER vision , *MEDICINAL plants , *DEEP learning - Abstract
Ayurveda is oldest method to make essential medicines. The medicinal plants have been played a crucial role for curing the various diseases throughout the human history. Although the identification of medicinal plant is very complex task. The factors such as surrounding, growth phases, soil types and lighting difference are the causes for making the identification process more complex. The medicinal plants are classified according to their colour, shape, texture, etc. In this paper we explore various deep learning algorithms to classify the medicinal plants according to their morphological features. The Convolution Neural Network (CNN) based techniques are one of the efficient techniques for identification of medicinal plant using image dataset. The dataset is consist of large number of images of leaf of medicinal plants. Hence the leaves of the medicinal plant are classified based on their characteristics. Computer vision also plays an important role for identification of types of eaves as we as for collecting dataset. Thus, the deep learning technologies helps to provide an accurate and efficient result for the classifying the medicinal plants. [ABSTRACT FROM AUTHOR]
- Published
- 2024
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