# Evaluation of Support Vector Machine and Binary Convolutional Neural Network for Automatic Medicinal Plant Species Identification

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/evaluation-of-support-vector-machine-and-binary-convolutional-neural-network-for/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Sachin Bhat,Alaka Ananth,Anup S. Shetty,Deepak Kumar Nayak,Prasad J. Shettigar,Sagar Shetty |
| Citations | 1 |
| DOI | 10.1007/978-981-19-7346-8_61 |
| Fields | Agricultural and Biological Sciences,Chemistry,Engineering |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W4320925733 |
| Type | book-chapter |
| Year | 2023 |

## Paper authors

- [Sagar Shetty](https://scholariq.org/researchers/sagar-shetty/)

## Paper journal

- [Lecture notes in electrical engineering](https://scholariq.org/journals/lecture-notes-in-electrical-engineering/)

## Paper primary topic

- [Smart Agriculture and AI](https://scholariq.org/topics/smart-agriculture-and-ai/)

## Paper topics

- [Smart Agriculture and AI](https://scholariq.org/topics/smart-agriculture-and-ai/)
- [Spectroscopy and Chemometric Analyses](https://scholariq.org/topics/spectroscopy-and-chemometric-analyses/)
- [Advanced Chemical Sensor Technologies](https://scholariq.org/topics/advanced-chemical-sensor-technologies/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.