# CNNAttLSTM: an attention-enhanced CNN–LSTM architecture for high-precision jackfruit leaf disease classification

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/cnnattlstm-an-attention-enhanced-cnn-lstm-architecture-for-high-precision/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Gaurav Tuteja,Fuad Ali Mohammed Al-Yarimi,Amna Ikram,Rupesh Gupta,Ateeq Ur Rehman,Jeewan Singh,Irene Delgado Noya,Luis Alonso Dzul Lopez |
| Citations | 2 |
| DOI | 10.3389/fpls.2025.1720471 |
| Fields | Agricultural and Biological Sciences,Computer Science,Environmental Science |
| Open Access | true |
| OA Status | gold |
| OA URL | https://doi.org/10.3389/fpls.2025.1720471 |
| OpenAlex ID | https://openalex.org/W7118195567 |
| PMID | 41560932 |
| Type | article |
| Year | 2026 |

## Paper authors

- [Gaurav Tuteja](https://scholariq.org/researchers/gaurav-tuteja/)

## Paper journal

- [Frontiers in Plant Science](https://scholariq.org/journals/frontiers-in-plant-science/)

## 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/)
- [Remote Sensing in Agriculture](https://scholariq.org/topics/remote-sensing-in-agriculture/)

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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.