# SAM-Based Leaf Segmentation with Morphological Quality Assessment for Enhanced Plant Disease Detection

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/sam-based-leaf-segmentation-with-morphological-quality-assessment-for-enhanced/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Dwayne Acosta,Junhong Zhao,Bing Xue |
| Citations | 0 |
| DOI | 10.1109/ivcnz67716.2025.11281868 |
| Fields | Agricultural and Biological Sciences,Computer Science,Environmental Science |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W4417249326 |
| Type | conference-paper |
| Year | 2025 |

## Paper authors

- [Junhong Zhao](https://scholariq.org/researchers/junhong-zhao/)
- [Bing Xue](https://scholariq.org/researchers/bing-xue/)

## 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/)
- [Remote Sensing in Agriculture](https://scholariq.org/topics/remote-sensing-in-agriculture/)
- [Advanced Neural Network Applications](https://scholariq.org/topics/advanced-neural-network-applications/)

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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.