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Author

A. S. Tewari

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Open access Sep 2026

Lightweight attention-enhanced EfficientDet for tomato leaf detection and disease classification in real-world conditions

Tomatoes are a critical crop for global food security, offering substantial nutritional and economic value. Their widespread availability makes them a key component in combating malnutrition. However, diseases affecting tomato plants significantly threaten agricultural productivity. While numerous deep learning-based a...

Shashank Yadav, Anand Shanker Tewari · 0 citations
Jul 2026

A Robust Method for Real-Field Tomato Disease Classification Using FRCNN-Based Leaf Isolation and FCM-Guided Variability Estimation

The FRCNN-FCMWeight model provides strong support for agricultural use cases and improves overall model generalization and enhances training robustness and identifies diseased regions effectively under highly variable field conditions.

Shashank Yadav, A. S. Tewari · 0 citations

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