# Lightweight Tomato Disease Recognition in Complex Environments Based on Improved YOLOv8

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/lightweight-tomato-disease-recognition-in-complex-environments-based-on-improved-2/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Zhicheng Wei,Haihua Tang,Shihua Liang,Qinjia Lu,Wenjie Wei,Linhao Yang,Zixuan Ye |
| Citations | 0 |
| DOI | 10.5281/zenodo.19914244 |
| Fields | Agricultural and Biological Sciences,Computer Science,Engineering |
| Open Access | true |
| OA Status | green |
| OA URL | https://doi.org/10.5281/zenodo.19914244 |
| OpenAlex ID | https://openalex.org/W7159055947 |
| Type | article |
| Year | 2026 |

## Paper authors

- [Haihua Tang](https://scholariq.org/researchers/haihua-tang/)

## Paper journal

- [Zenodo (CERN European Organization for Nuclear Research)](https://scholariq.org/journals/zenodo-cern-european-organization-for-nuclear-research/)

## 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/)
- [Advanced Neural Network Applications](https://scholariq.org/topics/advanced-neural-network-applications/)
- [Advanced Data and IoT Technologies](https://scholariq.org/topics/advanced-data-and-iot-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.