PSR-LeafNet: A Deep Learning Framework for Identifying Medicinal Plant Leaves Using Support Vector Machines
In computer vision, recognizing plant pictures has emerged as a multidisciplinary area of interest. In the last several years, much research has been conducted to determine the type of plant in each image automatically. The challenges in identifying the medicinal plants are due to the changes in the...
Saved in:
| Main Authors: | Praveen Kumar Sekharamantry, Marada Srinivasa Rao, Yarramalle Srinivas, Archana Uriti |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2024-12-01
|
| Series: | Big Data and Cognitive Computing |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2504-2289/8/12/176 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Effects of environmental and biological characteristics on leaf decomposition under wetland restoration conditions
by: Jiamin Liu, et al.
Published: (2024-12-01) -
Localizing Violations of the Principle of Sufficient Reason—Leibniz on the Modal Status of the PSR
by: Sebastian Bender
Published: (2022-10-01) -
A high‐resolution model of the grapevine leaf morphospace predicts synthetic leaves
by: Daniel H. Chitwood, et al.
Published: (2025-01-01) -
Profile Variation in PSR B0355+54 over a Narrow Frequency Range
by: Shibo Jiang, et al.
Published: (2024-11-01) -
Hyperspectral Imaging Combined with Deep Learning for the Early Detection of Strawberry Leaf Gray Mold Disease
by: Yunmeng Ou, et al.
Published: (2024-11-01)