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Author

I. S

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Conference Jul 2026

Apple Leaf Disease Detection using Machine Learning and Deep Learning Models

Apple leaf disease detection is of critical importance for enhancing productivity in agriculture while reducing losses caused by diseases. Conventional apple leaf disease detection techniques are often inefficient and inaccurate because of environmental factors and the similarity of symptoms in the early stages of dise...

S. Sanjaay, V. S. Kirithic Adhithya, I. S et al. · 0 citations
Conference Jul 2026

Corn Leaf Disease Detection and Classification using Deep Learning Models

Corn diseases are a major threat to the food security of the world. However, the existing deep learning models are "heavy" in terms of computation and are not feasible for mobile applications. This paper proposes a model by modifying the existing DenseNet and EfficientNet models for the classification of four different...

Yada Mani Sai, Chittaluru Sai Kowshika Reddy, I. S · 0 citations
Conference Jul 2026

A Large-Scale Machine Learning Framework for Early Diabetes Prediction

Diabetes has become a health problem worldwide. It often goes unnoticed until it causes health issues. Finding diabetes early using a lot of health and personal data can help reduce the diseases impact and healthcare costs. This study proposes a machine learning system for diabetes prediction. This system uses techniqu...

Thatikonda Krishna Kalyan Gupta, Oruganti Yashwanth Reddy, I. S et al. · 0 citations

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