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Author

S. R

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Conference Aug 2026

A Comparative Study on Enhancing Wheat Leaf Disease Detection and Classification Through Deep Learning Approaches

Many leaf diseases have significant effects on yield and quality and wheat is an important crop contributing to food security globally. Accurate and timely diagnosis of these diseases is important for the sustainable use of agriculture. This study assesses the effectiveness of deep learning (DL) technique using ResNet...

S. R · 0 citations
Conference Jul 2026

Analyzing and Comparing Deep Learning Models for Strawberry Leaf Disease Identification and Classification

Strawberry is highly prone to numerous foliar diseases which can drastically decrease the yield and quality unless well identified. The conventional ways of disease identification are based on manual inspection, which is very tedious and ineffective in large farms. The creation of artificial intelligence (AI) has enabl...

S. R · 0 citations

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