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Author

P. Kumaresan

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Open access Sep 2026

Evaluation of AI Predictability on Crop Yield using XAI - An Experimental Approach

Accurate crop yield prediction is essential for improving agricultural planning and sustainability. This study explores the integration of explainable artificial intelligence (XAI) with machine learning models to enhance transparency in agricultural decision-support systems. A comparative evaluation of multiple regress...

R. Varathan, P. Kumaresan · 0 citations
#explainable ai Open access Sep 2026

Smart crop recommendation: fusing nutrient and climate data with Krill Herd Optimization and explainable AI

A crop recommendation framework in which Multi-Layer Perceptron, XGBoost, and Tab Transformer are first evaluated as baseline prediction models, followed by the proposed Krill Herd Optimization-based explainable framework integrated with Explainable Artificial Intelligence (XAI).

P. Latha, P. Kumaresan · 0 citations

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