# Food Quality Inspection and Grading Using Efficient Image Segmentation and Machine Learning-Based System

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/food-quality-inspection-and-grading-using-efficient-image-segmentation-and/

## Facts

| Field | Value |
| --- | --- |
| Author Names | V. Hemamalini,S Rajarajeswari,S. Nachiyappan,M. Sambath,T Devi.,Bhupesh Kumar Singh,Abhishek Raghuvanshi |
| Citations | 135 |
| DOI | 10.1155/2022/5262294 |
| Fields | Agricultural and Biological Sciences,Chemistry |
| Open Access | true |
| OA Status | gold |
| OA URL | https://downloads.hindawi.com/journals/jfq/2022/5262294.pdf |
| OpenAlex ID | https://openalex.org/W4211190296 |
| Type | article |
| Year | 2022 |

## Paper authors

- [T Devi.](https://scholariq.org/researchers/t-devi/)

## 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/)
- [Food Supply Chain Traceability](https://scholariq.org/topics/food-supply-chain-traceability/)

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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.