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Author

Sneha Kandacharam

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Open access Aug 2026

Comparing classical and quantum machine learning approaches for crop and weed detection

Crop and weed detection is an essential task in precision agriculture which is typically approached through classical machine learning, and more recently, through quantum machine learning (QML). This research compares classical and quantum approaches for crop-weed distinctions in aerial field photography. A convolution...

Sneha Kandacharam, Poonam Chaudhary, Shriram Kris Vasudevan · 0 citations
Open access Aug 2026

A Novel Hyperspectral Imaging based Framework for Tomato Leaf Disease Detection

A lightweight deep learning model, the Dual Multi-Layer Perceptron Feature Fusion Network (DMLPFFN) as a hyperspectral-based approach to the four tomato disease stages, which includes healthy, asymptomatic, early and late infection is demonstrated.

Poonam Chaudhary, Sneha Kandacharam · 0 citations

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