Plant disease identification using a novel time-effective CNN architecture

Biswas, Srabani; Saha, Ipsita; Deb, Abanti

doi:10.1007/s11042-024-18822-8

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2024

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Cited by 4 publications

References 33 publications

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A systematic review of deep learning techniques for plant diseases

Pacal,

Kunduracioglu,

Alma

et al. 2024

Artif Intell Rev

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A systematic review of deep learning techniques for plant diseases

Pacal,

Kunduracioglu,

Alma

et al. 2024

Artif Intell Rev

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Enhanced Plant Disease Detection Using a Custom CNN with Advanced Feature Extraction Techniques

Sharma,

Vardhan

2024

2024 15th International Conference on Computing Communication and Networking Technologies (ICCCNT)

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An Efficient Weed Detection Method Using Latent Diffusion Transformer for Enhanced Agricultural Image Analysis and Mobile Deployment

Cui,

Yang,

Xia

et al. 2024

Plants

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This paper presents an efficient weed detection method based on the latent diffusion transformer, aimed at enhancing the accuracy and applicability of agricultural image analysis. The experimental results demonstrate that the proposed model achieves a precision of 0.92, a recall of 0.89, an accuracy of 0.91, a mean average precision (mAP) of 0.91, and an F1 score of 0.90, indicating its outstanding performance in complex scenarios. Additionally, ablation experiments reveal that the latent-space-based diffusion subnetwork outperforms traditional models, such as the the residual diffusion network, which has a precision of only 0.75. By combining latent space feature extraction with self-attention mechanisms, the constructed lightweight model can respond quickly on mobile devices, showcasing the significant potential of deep learning technologies in agricultural applications. Future research will focus on data diversity and model interpretability to further enhance the model’s adaptability and user trust.

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Plant disease identification using a novel time-effective CNN architecture

Cited by 4 publications

References 33 publications

A systematic review of deep learning techniques for plant diseases

A systematic review of deep learning techniques for plant diseases

Enhanced Plant Disease Detection Using a Custom CNN with Advanced Feature Extraction Techniques

An Efficient Weed Detection Method Using Latent Diffusion Transformer for Enhanced Agricultural Image Analysis and Mobile Deployment

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