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

Results show that combining spatial feature extraction with temporal modeling and attention significantly enhances robustness and classification performance in plant disease detection. The lightweight design enables real-time and edge-device deployment, addressing a major limitation of existing deep-learning techniques. The findings highlight the potential of CNNAttLSTM for scalable, efficient, and accurate agricultural disease monitoring and broader precision agriculture applications.

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Publication Details

Journal
Frontiers in Plant Science
Published
2026-01-05
DOI
https://doi.org/10.3389/fpls.2025.1720471
Primary Topic
Smart Agriculture and AI
Type
article
Field-Weighted Citation Impact
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article

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

Irene Delgado Noya, Gaurav Tuteja, Ateeq Ur Rehman, Jeewan Singh et al.
Frontiers in Plant Science
Smart Agriculture and AI
article

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

Irene Delgado Noya, Gaurav Tuteja, Ateeq Ur Rehman, Jeewan Singh, Rupesh Gupta, Fuad Ali Mohammed Al-Yarimi, Luis Alonso Dzul Lopez, Amna Ikram
article en

Abstract

Results show that combining spatial feature extraction with temporal modeling and attention significantly enhances robustness and classification performance in plant disease detection. The lightweight design enables real-time and edge-device deployment, addressing a major limitation of existing deep-learning techniques. The findings highlight the potential of CNNAttLSTM for scalable, efficient, and accurate agricultural disease monitoring and broader precision agriculture applications.

Frontiers in Plant ScienceVol. 16
Gachon University (KR), Government Sadiq College Women University (PK), Universidad Internacional (MX), Fundación Universitaria Colombo Internacional (CO), Universidad Interamericana (DO), Universidad Europea del Atlántico (ES), Centro Universitário Internacional (MX), Graphic Era University (IN), Chitkara University (IN), King Khalid University (SA)
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Openalex Percentile: Top 97%
Smart Agriculture and AI
DOIOpen Access PDFOpenAlex
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CNNAttLSTM: an attention-enhanced CNN–LSTM architecture for high-precision jackfruit leaf disease classification — Irene Delgado Noya, Gaurav Tuteja, et al. · Frontiers in Plant Science (2026) | TGRS Research Map | TGRS