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Author

Sankareswari K

2 papers indexed here

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Open access Aug 2026

An Explainable Hybrid Attention Based TabNet–BiLSTM Framework for Intelligent Soil Data-Driven Crop and Fertilizer Recommendation

Accurate crop selection and fertilizer recommendation based on soil laboratory data analysis are essential for sustainable agriculture and precision nutrient management. Most existing crop recommendation systems lean on standalone machine learning or deep learning architectures that constrain their ability to model spa...

Sankareswari K, S. G · 0 citations
Open access Jul 2026

Agrodeepfusion: A Hybrid Deep Ensemble Architecture for Crop and Fertilizer Recommendation

This study proposes AgroDeepFusion, a hybrid deep ensemble framework that integrates Convolutional Neural Network (CNN), Long Short Term Memory (LSTM), and Deep Neural Network (DNN) models, offering an effective solution for sustainable agriculture.

Sankareswari K, S. G · 0 citations

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